323 Collibra Jobs - Page 10

You have experience with most of these technologies: HDFS, Ozone, Hive, Impala, Spark, Atlas, Ranger. Knowledge of GraphQL, Venafi (Certificate Mgt) and Collibra (Data Governance) is an asset. Experience in a telecommunication environment and real-time technologies with focus on high availability and high-volume processing is an advantage: o Kafka o Flink o Spark Streaming You master programming languages as Java & Python/PySpark as well as SQL and are proficient in UNIX scripting Data formats like JSON, Parquet, XML and REST API have no secrets for you You have experience with CI/CD (GitLab/GitHub, Jenkins, Ansible, Nexus) for automated build & test. Knowledge of the Azure DevOps toolset is an asset. As project is preparing a “move to Azure”, the above will change slightly in the course of 2025. However, most of our current technological landscape remains a solid foundation for a role as EDH Data Engineer Build robust, performing and high scalable, flexible data pipelines with a focus on time to market with quality. Responsibilities: Act as an active team member to ensure high code quality (unit testing, regression tests) delivered in time and within budget. Document the delivered code/solution Participate to the implementation of the releases following the change & release management processes Provide support to the operation team in case of major incidents for which engineering knowledge is required. Participate to effort estimations. Provide solutions (bug fixes) for problem mgt. Good knowledge on software configuration management systems Strong business acumen, strategy and cross-industry thought leadership Awareness of latest technologies and Industry trends Logical thinking and problem solving skills along with an ability to collaborate Two or three industry domain knowledge Understanding of the financial processes for various types of projects and the various pricing models available Client Interfacing skills Knowledge of SDLC and agile methodologies Project and Team management Show more Show less

About Amgen Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. About The Role Role Description: You will play a key role in the implementation and adoption of the data governance framework which will modernize Amgen's data ecosystem, positioning Amgen as a leader in biopharma innovation. This role leverages state-of-the-art technologies, including Generative AI, Machine Learning, and integrated data. This role involves working closely with business stakeholder and data analysts to ensure implementation and adoption of the data governance framework. You will collaborate with Data Product Owners, Data Stewards and technology teams to increase the trust and reuse of data across Amgen. Roles & Responsibilities: Responsible for the execution of data governance framework for a given domain of expertise (Research, Development, Supply Chain, etc.). Contribute to the operationalization of the Enterprise data governance framework and aligning broader stakeholder community with their data governance needs, including data quality, data access controls, compliance with privacy and security regulations, foundational master data management, data sharing, communication and change management. Works with Enterprise MDM and Reference Data to enforce standards and data reusability. Contribute to the cross functional alignment in his/her domain(s) of expertise to ensure adherence to Data Governance principles. Maintain documentation on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. for assigned domains. Partner with business teams to identify compliance requirements with data privacy, security, and regulatory policies for the assigned domains Jointly with Technology teams, business functions, and enterprise teams (e.g., MDM, Enterprise Data Fabric, etc.) delivers data foundations . Build strong relationship with key business leads and partners to ensure their needs are met. Functional Skills: Must-Have Functional Skills: Technical skills (Advanced SQL, Python etc) with knowledge of Pharma processes with specialization in a domain (e.g., Research, Clinical Trials, Commercial, etc.) Experience of working with or supporting systems used to data governance framework. E.g. Collibra, Alation General knowledge of data management, common data models, metadata management, data quality, master data management, data stewardship, data protection, etc. Experience with data products development life cycle, including the enablement of data dictionaries, business glossary to increase data products reusability and data literacy. Customer focused with excellent written and verbal communication skills who can confidently work with internal Amgen business stakeholders and external service partners on business process and technology topics Excellent problem-solving skills and a committed attention to detail in finding solutions Good-to-Have Functional Skills: Experience with Agile software development methodologies (Scrum) Soft Skills: Excellent analytical skills Ability to work effectively with global, virtual teams Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Ability to build business relationships and understand end-to-end data use and needs. Strong verbal and written communication skills Basic Qualifications: Experience with 5 - 9 years of experience in Business, Engineering, IT or related field EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation. Show more Show less

Location : Mohali City : Mohali State : Punjab (IN-PB) Country : India (IN) Requisition Number : 39025 Business Title- Manager - Data Governance and Data Quality Global Job Title-Mgr I Strategy & Trans Global Function-Business Services Global Department-Strategy and Transformation Reporting to Data Governance Lead Role Purpose Statement-The person will be part of our Data Governance team and will help drive the successful implementation and adoption of the Collibra Data Governance platform including Collibra Data quality. The person need to understand the Collibra Meta Model: Asset, Domain, Community, metadata ingestions using templates. Main Accountabilities- 8-10 Years of Experience in Data Governance and Data Quality Good hands-on experience in Collibra stack of tools such as Collibra DIC and DQ. Establish data quality, data lineage, and metadata management processes within Collibra. Exposure to GCP, Data Privacy, Data Domains, API’s Monitor and report on data governance metrics and KPIs, identifying areas for improvement and implementing corrective actions. Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams." Knowledge and Skills- Behavior-"Use knowledge of Bunge’s business, structure and strategy to develop innovative solutions to improve results or eliminate problems. Build partnerships, appropriately influence to gain commitment, foster talent and coach others to grow in current or future roles. Drive results through high standards, focus on key priorities, organization, and preparing others for change." Technical-" Accept responsibility/accountability for assigned tasks Break problems into manageable pieces and follow an organized approach to resolve them Plan tasks to create deliverables and effectively execute that plan with little direction from supervisor Deliver high-quality results on time Show willingness and ability to increase contribution and level of responsibility and proactively seek to do so." Education & Experience- " Education: Bachelor of Engineering /Master of Computer Science/ Master of Science from premier institutes Skills: Collibra stack of tools (DIC, DQ) Data Warehouse / Data Modeling, ETL" Bunge (NYSE: BG) is a world leader in sourcing, processing and supplying oilseed and grain products and ingredients. Founded in 1818, Bunge’s expansive network feeds and fuels a growing world, creating sustainable products and opportunities for more than 70,000 farmers and the consumers they serve across the globe. The company is headquartered in St. Louis, Missouri and has 25,000 employees worldwide who stand behind more than 350 port terminals, oilseed processing plants, grain facilities, and food and ingredient production and packaging facilities around the world. Bunge is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, transgender status, national origin, citizenship, age, disability or military or veteran status, or any other legally protected status. Bunge is an Equal Opportunity Employer. Minorities/Women/Veterans/Disabled Show more Show less

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Responsibilities Job Description & Summary – Data Governance Data Catalog - Collibra CoE Data Governance Grade Associate/Sr. Associate Skill Set Collibra Technical Lead, Workflow Development, Glossary, Catalog and Lineage Development on Collibra Location Bangalore/Gurgaon YoE 4-9 Mandatory Skill Set-Informatica Axon/EDC or Purview, Collibra Developer Preferred Skill Set-Informatica Axon/EDC Or Purview, Collibra Developer Year of experience required-4-9 Years Qualifications-Btech/MBA/MCA Mandatory skill sets: Data Governance Preferred Skill Sets Data Governance Years Of Experience Required 4+ Education Qualification BE/BTech/MBA/MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Bachelor of Technology, Master of Business Administration Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills PySpark Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis {+ 12 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date Show more Show less

Job Title: Pharma Business Analyst (Digital Experience & Collibra Expertise) Experience Level: 8+ Years Location: India Job Type: Contract Job Summary: We are seeking an experienced Pharma Business Analyst with a strong background in digital transformation initiatives and deep expertise in Collibra Data Governance . The ideal candidate will play a critical role in bridging the gap between business needs and technology solutions in the pharmaceutical domain, ensuring that data-driven digital initiatives align with regulatory and compliance standards. Key Responsibilities: • Collaborate with stakeholders across business and IT teams to gather, analyse, and document business requirements. • Lead the implementation and optimization of Collibra Data Governance solutions across the organization. • Work closely with data stewards, data owners, and governance teams to define data standards, policies, and metadata models. • Translate complex business needs into functional and technical specifications. • Support digital initiatives by integrating data governance into digital platforms, tools, and workflows. • Conduct impact analysis, gap assessments, and business process modeling (BPM). • Facilitate workshops, JAD sessions, and user training sessions. • Ensure compliance with industry regulations including GxP, FDA, and other relevant standards. Required Qualifications: • 810 years of experience as a Business Analyst in the pharmaceutical/life sciences industry. • Proven experience with Collibra Data Governance Center , including setting up domains, workflows, and operating models. • Strong understanding of data governance, data lineage, metadata management , and regulatory compliance. • Experience in digital transformation projects within pharma e.g., digital labs, digital supply chain, or patient engagement platforms. • Strong analytical and problem-solving skills, with an ability to work with technical and non-technical stakeholders. • Excellent communication and documentation skills. • Proficient in tools such as JIRA, Confluence, Visio, Excel , and other BA toolsets. Preferred Skills: • Knowledge of clinical trial processes, R&D, or commercial pharma operations . • Familiarity with AI/ML applications in pharma or digital health platforms. • Collibra certification is a plus. • Understanding of data privacy laws (e.g., HIPAA, GDPR) relevant to pharmaceutical data. Work Environment: • Fully remote position with flexibility in working hours to accommodate cross-functional and international teams. • Collaborative, fast-paced team focused on innovation and excellence in digital health initiatives.

Department: SE DC DG A Snapshot of Your Day We are seeking a highly skilled and committed Manager to lead our data accountability, data security, data regulatory compliance, data access and Artificial Intelligence (AI) governance workstreams. This position requires an initiative-taking leader with a robust background in data governance, data ownership, data security and compliance, who through their team can drive the development and implementation of comprehensive strategies to support our data roles, secure our data assets and uphold ethical AI practices to maintain data integrity and increase a culture of data accountability. How You’ll Make An Impact Data Accountability: Develop and implement policies and procedures to improve data accountability across the organization. the Data Roles & Responsibilities Framework and Help in its operationalization in Siemens Energy. Lead Enablement and Training Programs for the data roles. Support the build of Data communities in the business areas and bring them closer to our formally established data roles. Data Security: Lead the development and execution of comprehensive data security and data access management strategies, policies and procedures which are essential for protecting an organization's data assets, mitigating risks, ensuring compliance, and maintaining collaborator trust. Data Retention: Lead development of retention framework and secure disposal methods to retain data only as vital and dispose of it securely. AI Governance: Lead AI Governance team working on establishing policies and processes to ensure ethical, responsible, and compliant use of AI. Work closely with multi-functional teams of Business, Data domains, Cyber security, Legal and Compliance, Artificial Intelligence, Applications teams etc. Manage and mentor a team of data professionals, providing guidance, training, and support to achieve departmental goals. Develop and implement strategic goals for the team, aligned with organizational objectives. Partner Engagement: Collaborate with collaborators across the organization to align strategies with business objectives. Innovation: Stay abreast of industry trends and emerging technologies and incorporate innovative solutions to enhance data accountability, data security AI governance What You Bring Bachelor’s degree in computer science, information technology, data science, or a related field; master’s degree preferred. Minimum of 8 years of experience in data management, data governance, data ownership and data security governance roles in large scale enterprise set up with at least 3 years in a leadership capacity. Demonstrable ability to develop & implement data governance frameworks. Excellent leadership, communication, and interpersonal skills. Strong analytical, problem-solving, and decision-making abilities. Ability to work effectively in a fast-paced, dynamic environment and manage multiple priorities. Solid understanding of data accountability or data ownership, data security and compliance principles and practices. Familiarity with data governance tools like Collibra, Informatica, or Ataccama, or Talend. Experience with data modeling, data architecture, and database management systems is preferred. About The Team Our Corporate and Global Functions are essential in driving the company's pivotal initiatives and ensuring operational excellence across various groups, business areas, and regions. These roles support our vision to become the most valued energy technology company in the world. As part of our team, you contribute to our vision by shaping the global energy transition, partnering with our internal and external collaborators, and conducting business responsibly and in compliance with legal requirements and regulations. Who is Siemens Energy? At Siemens Energy, we are more than just an energy technology company. With ~100,000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation. Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation. Find out how you can make a difference at Siemens Energy: https://www.siemens-energy.com/employeevideo Our Commitment to Diversity Lucky for us, we are not all the same. Through diversity we generate power. We run on inclusion and our combined creative energy is fueled by over 130 nationalities. Siemens Energy celebrates character – no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences. Rewards/Benefits Opportunities to work with a distributed team Opportunities to work on and lead a variety of innovative projects Medical benefits Time off/Paid holidays and parental leave Continual learning through the Learn@Siemens-Energy platform https://jobs.siemens-energy.com/jobs Show more Show less

Job Description Take a lead role in acquiring, managing and retaining meaningful relationships that deliver outstanding experience to our customers. In this role, you will balance your focus on business results by offering options and finding solutions to help our customers with issues. Job Summary As a Payment Lifecycle Associate within JPMorgan Chase, you will play a crucial role in upholding the company's strength and resilience. Your contributions will be instrumental in fostering the firm's growth responsibly, as you anticipate new and emerging risks and apply your expert judgement to tackle real-world challenges impacting our company, customers, and communities. You will be part of a culture that promotes innovative thinking, challenges the status quo, and aims for best-in-class performance. Job Responsibilities Manage the end-to-end feed onboarding process of new data feeds, including gathering requirements and UAT testing. Ensure the new feeds meet the necessary standards of accuracy and completeness, and monitor the performance of data feeds post-integration to ensure they continue to function optimally. Perform data analysis and reconciliations to identify data quality issues and their impact on CAM. Investigate the root causes of data quality issues and work with teams to implement corrective actions. Manage data issues across CAM by effectively collaborating with CAM service leads, various functional leads from LOBs, Tech, and Ops to document data issues, root causes, and communicate remediation plans. Participate in UAT testing, review test scripts, and create business requirement documentation (BRD). Generate and present data quality reports, tracking key metrics and providing insights to business stakeholders. Update and maintain procedure documentation and process flows. Required Qualifications, Skills And Capabilities Excellent written and verbal communication Experience of building relationships with technology teams to clearly explain requirements, user stories and functionality Understanding of financial products like equities, fixed income, payments is required to work closely with external feed providers to onboard data. Ability to gather, analyze and interpret large datasets t extract valuable insights that help drive business strategies. Exemplifies the highest standards of integrity, respects individuals at every level and can flex style Intermediate Excel skills required for data analysis (e.g. Use of pivot tables and v-lookups Works independently and manage requests from multiple groups, define business requirement specifications working with users. Take ownership of ensuring the requirement is supported and built end to end solution. Ability to think strategically but have strong attention to detail. Team player, with strong interpersonal and networking skills Strong organizational skills - ability to take strategic direction and independently develop/manage project plans/Multi task and deliver against deadlines Preferred Qualifications, Skills And Capabilities Experience in Cash, Payments or Finance. Proficiency in using data quality tools and techniques like SQL, OWL, Collibra and others. Track record of defining and successful delivery of new solutions from concept to launch and rollout. Problem solving skills - superior ability to structure and scope complex problems, apply a range of technology/analytical tools, gain and synthesize insights and develop recommendations Helps promote a client/customer centred organization Desire to receive feedback and continuously improve, demonstrating a growth mindset About Us JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. Show more Show less

Department : SE DC DG A Snapshot of Your Day We are looking for a highly skilled and experienced manager to oversee our Enterprise data quality, Master Data Management & Reference Data Management workstreams. This role will ensure the development and implementation of comprehensive strategies for Siemens Energy´s data to be well maintained, accurate, and reliable through effective data quality and data management. The ideal candidate will possess strong leadership skills, a deep understanding of data governance principles, and the ability to drive data quality initiatives across the organization. This position will require close collaboration with various groups to identify, address, and resolve data-related issues while establishing robust data quality and data management frameworks. How You’ll Make An Impact Lead and mentor a team of data management professionals, providing guidance and fostering a collaborative environment. Develop and implement strategic goals for the team, aligned with organizational objectives. Ensure continuous professional development and performance management of team members. Offer strategic guidance and assistance to different data domains in Siemens Energy and collaborate effectively to enhance the implementation of the data governance framework. Oversee the establishment and enforcement of data quality standards and procedures. Support implementation of data quality metrics and reporting mechanisms to monitor and improve data accuracy and consistency across domains. Collaborate with multi-functional teams to identify data quality issues and their impact on business processes. Drive and support the design and delivery of the projects to address data quality issues. Provide thought leadership and industry standard methodologies on the right architecture, tool and governance model. Work on new ideas like using Data Quality for Artificial Intelligence, designing value Quantification approaches, data monetization opportunities etc. Develop and manage the organization's master data & reference data strategy, standards and processes to ensure consistency, accuracy, and reliability of master data across all business systems and support the integration and synchronization of reference data across various platforms. Work with business to standardize and harmonize master data definitions and processes and identify and document master data and reference data entities. Provide thought leadership on the right tools and approaches needed for data management in SE to make us future proof. What You Bring Bachelor’s degree in information technology, Data Science, Business Administration, or a related field (Master’s degree preferred). Minimum of 8 years of experience in data management and data quality roles, in large scale enterprise set up with at least 3 years in a leadership capacity. Proven track record of developing and implementing enterprise data quality, data management strategies and initiatives. Excellent leadership, communication, and interpersonal skills. Strong analytical, problem-solving, and decision-making abilities. Ability to work effectively in a fast-paced, dynamic environment and manage multiple priorities. Solid understanding of data quality, master data, and reference data management principles and practices. Proficiency with data management tools and technologies, such as SQL, ETL tools, data governance platforms, and MDM solutions like Collibra, Informatica, or Ataccama, or Talend. Experience with data modeling, data architecture, and database management systems is preferred. About The Team Our Corporate and Global Functions are essential in driving the company's pivotal initiatives and ensuring operational excellence across various groups, business areas, and regions. These roles support our vision to become the most valued energy technology company in the world. As part of our team, you contribute to our vision by shaping the global energy transition, partnering with our internal and external collaborators, and conducting business responsibly and in compliance with legal requirements and regulations. Who is Siemens Energy? At Siemens Energy, we are more than just an energy technology company. With ~100,000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation. Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation. Find out how you can make a difference at Siemens Energy: https://www.siemens-energy.com/employeevideo Our Commitment to Diversity Lucky for us, we are not all the same. Through diversity we generate power. We run on inclusion and our combined creative energy is fueled by over 130 nationalities. Siemens Energy celebrates character – no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences. Rewards/Benefits Opportunities to work with a distributed team Opportunities to work on and lead a variety of innovative projects Medical benefits Time off/Paid holidays and parental leave Continual learning through the Learn@Siemens-Energy platform https://jobs.siemens-energy.com/jobs Show more Show less

Job title: R&D Data Steward Manager Location: Hyderabad About The Job Sanofi is a global life sciences company committed to improving access to healthcare and supporting the people we serve throughout the continuum of care. From prevention to treatment, Sanofi transforms scientific innovation into healthcare solutions, in human vaccines, rare diseases, multiple sclerosis, oncology, immunology, infectious diseases, diabetes and cardiovascular solutions and consumer healthcare. More than 110,000 people in over 100 countries at Sanofi are dedicated to making a difference on patients’ daily life, wherever they live and enabling them to enjoy a healthier life. As a company with a global vision of drug development and a highly regarded corporate culture, Sanofi is recognized as one of the best pharmaceutical companies in the world and is pioneering the application of Artificial Intelligence (AI) with strong commitment to develop advanced data standards to increase reusability & interoperability and thus accelerate impact on global health. The R&D Data Office serves as a cornerstone to this effort. Our team is responsible for cross-R&D data strategy, governance, and management. We sit in partnership with Business and Digital, and drive data needs across priority and transformative initiatives across R&D. Team members serve as advisors, leaders, and educators to colleagues and data professionals across the R&D value chain. As an integral team member, you will be responsible for defining how R&D's structured, semi-structured and unstructured data will be stored, consumed, integrated / shared and reported by different end users such as scientists, clinicians, and more. You will also be pivotal in the development of sustainable mechanisms for ensuring data are FAIR (findable, accessible, interoperable, and reusable). Position Summary The R&D Data Steward plays a critical role in the intersection between business and data, where stewards will guide business teams on how to unlock value from data. This role will drive definition and documentation of R&D data standards in line with enterprise. Data stewards will place heavily cross-functional roles and must be comfortable with R&D data domains, data policies, and data cataloguing. Main Responsibilities Understand the data-related needs for various cross-R&D capabilities (E.g., data catalog, master data management etc) and associated initiatives; understand how to influence direction and progression of key initiatives Directly or in-directly lead junior data roles (e.g., business analysts, data modelers, data stewards etc) across end-to-end data activities (ingest through access) Work in collaboration with R&D Data Office leadership (including the Data Capability and Strategy Leads), business, R&D Digital subject matter experts and other partners to: Understand the data-related needs for various cross-R&D capabilities (E.g., data catalog, master data management etc) and associated initiatives Influence, design, and document data governance policies, standards and procedures for R&D data Drive data standard adoption across capabilities and initiatives; manage and maintain quality and integrity of data via data enrichment activities (E.g., cleansing, validating, enhancing etc) Understand and adopt data management tools such as R&D data catalogue, etc Develop effective data sharing artifacts for appropriate usage of data across R&D data domains Ensure the seamless running of the data-related activities and verify data standard application from ingest through access Maintain documentation and act as an expert on data definitions, data flows, legacy data structures, access rights models, etc. for assigned domain Oversee data pipeline and availability and escalate issues where they surface; ensure on-schedule/on-time delivery and proactive management of risks/issues Educate and guide R&D teams on standards and information management principles, methodologies, best practices, etc. Oversee junior data stewards and/or business analysts based on complexity or size of initiatives/functions supported Familiar with key industry or pharma R&D trends and data policies, and applies/educates team on implications in day-to-day activities Deliverables Brings Industry standards to the organization and serves as organizational Leads continuous improvement opportunities such as functional training Champions data issue identification and resolution Facilitates data strategy planning for their data domain(s) Advises Data Governance working groups Leads data stewardship for their data domain(s) and serves as the main point of contact for establishing and maintaining data strategies, standards, definitions, rules, policies and processes Accountable for cross functional domains, alignment on data management and practices across functions. About You Experience in Data Management, Data Analysis/Modeling in Life Sciences, Information Architecture, Technology, or related field Demonstrated ability to understand end-to-end data use and needs in Pharma R&D or broadly in Life Sciences Knowledge of R&D data domains and data standards (e.g., across research, clinical, regulatory etc) Solid grasp of data governance practices and track record of implementation Ability to understand data processes and requirements, particularly in R&D at an enterprise level Demonstrated strong attention to detail, quality, time management and customer focus Excellent written and oral communications skills Strong networking, influencing and negotiating skills and superior problem-solving skills Demonstrated willingness to make decisions and to take responsibility for such Excellent interpersonal skills (team player) People management skills either in matrix or direct line function Familiar with data management practices and technologies (e.g., Collibra, Informatica etc); experience in practices not required Knowledge of pharma R&D industry regulations and compliance requirements related to data governance Bachelors in science, Business, Engineering, or related. Post Graduate degrees in Life Sciences preferred. null Show more Show less

Job Title: Data Governance (DG) Specialist – Suncorp (Critical Role) Location: Flexible Experience: Minimum 4 years Urgency: Immediate joiners preferred Job Description We are seeking a Data Governance (DG) Specialist to join the Suncorp account in a critical capacity, replacing an attrition case. The ideal candidate will be responsible for implementing and overseeing robust data governance frameworks to ensure regulatory compliance, data quality, and strategic data management. Key Responsibilities Develop and implement enterprise-wide data governance frameworks, policies, and standards. Define data requirements, classifications, and ownership models. Manage data access controls and security protocols in line with internal and external compliance requirements. Ensure ongoing compliance with regulatory standards and internal governance policies. Collaborate across business units to embed data governance best practices. Provide training and documentation for data governance policies and tools. Monitor, assess, and report on the effectiveness of data governance initiatives. Required Skills: Data governance frameworks, Data stewardship, Metadata management, Data lineage, Data privacy, Regulatory compliance, Data classification, Data access controls, SQL, Snowflake, Stakeholder management, Policy development, Communication & training, Analytical thinking, Collibra, Informatica Axon, Alation, Financial services/Insurance. Show more Show less

Job title: R&D Data Steward Manager Associate Location: Hyderabad About The Job Sanofi is a global life sciences company committed to improving access to healthcare and supporting the people we serve throughout the continuum of care. From prevention to treatment, Sanofi transforms scientific innovation into healthcare solutions, in human vaccines, rare diseases, multiple sclerosis, oncology, immunology, infectious diseases, diabetes and cardiovascular solutions and consumer healthcare. More than 110,000 people in over 100 countries at Sanofi are dedicated to making a difference on patients’ daily life, wherever they live and enabling them to enjoy a healthier life. As a company with a global vision of drug development and a highly regarded corporate culture, Sanofi is recognized as one of the best pharmaceutical companies in the world and is pioneering the application of Artificial Intelligence (AI) with strong commitment to develop advanced data standards to increase reusability & interoperability and thus accelerate impact on global health. The R&D Data Office serves as a cornerstone to this effort. Our team is responsible for cross-R&D data strategy, governance, and management. We sit in partnership with Business and Digital, and drive data needs across priority and transformative initiatives across R&D. Team members serve as advisors, leaders, and educators to colleagues and data professionals across the R&D value chain. As an integral team member, you will be responsible for defining how R&D's structured, semi-structured and unstructured data will be stored, consumed, integrated / shared and reported by different end users such as scientists, clinicians, and more. You will also be pivotal in the development of sustainable mechanisms for ensuring data are FAIR (findable, accessible, interoperable, and reusable). Position Summary The R&D Data Steward plays a critical role in the intersection between business and data, where stewards will guide business teams on how to unlock value from data. This role will drive definition and documentation of R&D data standards in line with enterprise. Data stewards will place heavily cross-functional roles and must be comfortable with R&D data domains, data policies, and data cataloguing. Main Responsibilities Work in collaboration with R&D Data Office leadership (including the Data Capability and Strategy Leads), business, R&D Digital subject matter experts and other partners to: Understand the data-related needs for various cross-R&D capabilities (E.g., data catalog, master data management etc) and associated initiatives Influence, design, and document data governance policies, standards and procedures for R&D data Drive data standard adoption across capabilities and initiatives; manage and maintain quality and integrity of data via data enrichment activities (E.g., cleansing, validating, enhancing etc) Understand and adopt data management tools such as R&D data catalogue, etc Develop effective data sharing artifacts for appropriate usage of data across R&D data domains Ensure the seamless running of the data-related activities and verify data standard application from ingest through access Maintain documentation and act as an expert on data definitions, data flows, legacy data structures, access rights models, etc. for assigned domain Oversee data pipeline and availability and escalate issues where they surface; ensure on-schedule/on-time delivery and proactive management of risks/issues Educate and guide R&D teams on standards and information management principles, methodologies, best practices, etc. Oversee junior data stewards and/or business analysts based on complexity or size of initiatives/functions supported Deliverables Defines Data quality and communication metrics for assigned domains and 1-2 business functions Implements continuous improvement opportunities such as functional training Accountable for data quality and data management activities for the assigned domains. Facilitates data issue resolution Defines business terms and data elements (metadata) according to data standards, and ensures standardization/normalization of metadata Leads working groups to identify data elements, perform root cause and impact analysis, and identify improvements for metadata and data quality Regularly communicates with other data leads, expert Data Steward and escalates issues as appropriate About You Experience in Business Data Management, Information Architecture, Technology, or related fields Experience in bioinformatics is preferred, life sciences industry or academia is mandatory. Demonstrated ability to understand end-to-end data use and needs ,Knowledge of R&D data domains (e.g., across research, clinical, regulatory etc) Solid grasp of data governance practices and track record of implementation ,Ability to understand data processes and requirements, particularly in R&D at an enterprise level Demonstrated strong attention to detail, quality, time management and customer focus ,Excellent written and oral communications skills Strong networking, influencing and negotiating skills and superior problem-solving skills ,Demonstrated willingness to make decisions and to take responsibility for such Excellent interpersonal skills (team player) ,People management skills either in matrix or direct line function Familiar with data management practices and technologies (e.g., Collibra, Informatica etc); experience in practices not required ,Knowledge of pharma R&D industry regulations and compliance requirements related to data governance Education: Candidates should have an educational background in biological sciences (biology or chemistry) null Show more Show less

Job title: R&D Data Steward Manager Associate Location: Hyderabad About The Job Sanofi is a global life sciences company committed to improving access to healthcare and supporting the people we serve throughout the continuum of care. From prevention to treatment, Sanofi transforms scientific innovation into healthcare solutions, in human vaccines, rare diseases, multiple sclerosis, oncology, immunology, infectious diseases, diabetes and cardiovascular solutions and consumer healthcare. More than 110,000 people in over 100 countries at Sanofi are dedicated to making a difference on patients’ daily life, wherever they live and enabling them to enjoy a healthier life. As a company with a global vision of drug development and a highly regarded corporate culture, Sanofi is recognized as one of the best pharmaceutical companies in the world and is pioneering the application of Artificial Intelligence (AI) with strong commitment to develop advanced data standards to increase reusability & interoperability and thus accelerate impact on global health. The R&D Data Office serves as a cornerstone to this effort. Our team is responsible for cross-R&D data strategy, governance, and management. We sit in partnership with Business and Digital, and drive data needs across priority and transformative initiatives across R&D. Team members serve as advisors, leaders, and educators to colleagues and data professionals across the R&D value chain. As an integral team member, you will be responsible for defining how R&D's structured, semi-structured and unstructured data will be stored, consumed, integrated / shared and reported by different end users such as scientists, clinicians, and more. You will also be pivotal in the development of sustainable mechanisms for ensuring data are FAIR (findable, accessible, interoperable, and reusable). Position Summary The R&D Data Steward plays a critical role in the intersection between business and data, where stewards will guide business teams on how to unlock value from data. This role will drive definition and documentation of R&D data standards in line with enterprise. Data stewards will place heavily cross-functional roles and must be comfortable with R&D data domains, data policies, and data cataloguing. Main Responsibilities Work in collaboration with R&D Data Office leadership (including the Data Capability and Strategy Leads), business, R&D Digital subject matter experts and other partners to: Understand the data-related needs for various cross-R&D capabilities (E.g., data catalog, master data management etc) and associated initiatives Influence, design, and document data governance policies, standards and procedures for R&D data Drive data standard adoption across capabilities and initiatives; manage and maintain quality and integrity of data via data enrichment activities (E.g., cleansing, validating, enhancing etc) Understand and adopt data management tools such as R&D data catalogue, etc Develop effective data sharing artifacts for appropriate usage of data across R&D data domains Ensure the seamless running of the data-related activities and verify data standard application from ingest through access Maintain documentation and act as an expert on data definitions, data flows, legacy data structures, access rights models, etc. for assigned domain Oversee data pipeline and availability and escalate issues where they surface; ensure on-schedule/on-time delivery and proactive management of risks/issues Educate and guide R&D teams on standards and information management principles, methodologies, best practices, etc. Oversee junior data stewards and/or business analysts based on complexity or size of initiatives/functions supported Deliverables Defines Data quality and communication metrics for assigned domains and 1-2 business functions Implements continuous improvement opportunities such as functional training Accountable for data quality and data management activities for the assigned domains. Facilitates data issue resolution Defines business terms and data elements (metadata) according to data standards, and ensures standardization/normalization of metadata Leads working groups to identify data elements, perform root cause and impact analysis, and identify improvements for metadata and data quality Regularly communicates with other data leads, expert Data Steward and escalates issues as appropriate About You Experience in Data wrangling, Data programming, Business Data Management, Information Architecture, Technology, or related fields ,Demonstrated ability to understand end-to-end data use and needs Experience in CMC (Chemistry manufacturing & control) experience in R&D /CRO/Pharma data domains (e.g., across research, clinical, regulatory etc) Solid grasp of data governance practices and track record of implementation, Ability to understand data processes and requirements, particularly in R&D at an enterprise level Demonstrated strong attention to detail, quality, time management and customer focus, Excellent written and oral communications skills Strong networking, influencing and negotiating skills and superior problem-solving skills, demonstrated willingness to make decisions and to take responsibility for such Excellent interpersonal skills (team player), People management skills either in matrix or direct line function Familiar with data management practices and technologies (e.g., Collibra, Informatica etc); experience in practices not required, Knowledge of pharma R&D industry regulations and compliance requirements related to data governance Education: Scientific or life sciences background null Show more Show less

Job title: Data Steward Manager Associate Location: Hyderabad About The Job Sanofi is a global life sciences company committed to improving access to healthcare and supporting the people we serve throughout the continuum of care. From prevention to treatment, Sanofi transforms scientific innovation into healthcare solutions, in human vaccines, rare diseases, multiple sclerosis, oncology, immunology, infectious diseases, diabetes and cardiovascular solutions and consumer healthcare. More than 110,000 people in over 100 countries at Sanofi are dedicated to making a difference on patients’ daily life, wherever they live and enabling them to enjoy a healthier life. As a company with a global vision of drug development and a highly regarded corporate culture, Sanofi is recognized as one of the best pharmaceutical companies in the world and is pioneering the application of Artificial Intelligence (AI) with strong commitment to develop advanced data standards to increase reusability & interoperability and thus accelerate impact on global health. The R&D Data Office serves as a cornerstone to this effort. Our team is responsible for cross-R&D data strategy, governance, and management. We sit in partnership with Business and Digital, and drive data needs across priority and transformative initiatives across R&D. Team members serve as advisors, leaders, and educators to colleagues and data professionals across the R&D value chain. As an integral team member, you will be responsible for defining how R&D's structured, semi-structured and unstructured data will be stored, consumed, integrated / shared and reported by different end users such as scientists, clinicians, and more. You will also be pivotal in the development of sustainable mechanisms for ensuring data are FAIR (findable, accessible, interoperable, and reusable). Position Summary The R&D Data Steward plays a critical role in the intersection between business and data, where stewards will guide business teams on how to unlock value from data. This role will drive definition and documentation of R&D data standards in line with enterprise. Data stewards will place heavily cross-functional roles and must be comfortable with R&D data domains, data policies, and data cataloguing. Main Responsibilities Work in collaboration with R&D Data Office leadership (including the Data Capability and Strategy Leads), business, R&D Digital subject matter experts and other partners to: Understand the data-related needs for various cross-R&D capabilities (E.g., data catalog, master data management etc) and associated initiatives Influence, design, and document data governance policies, standards and procedures for R&D data Drive data standard adoption across capabilities and initiatives; manage and maintain quality and integrity of data via data enrichment activities (E.g., cleansing, validating, enhancing etc) Understand and adopt data management tools such as R&D data catalogue, etc Develop effective data sharing artifacts for appropriate usage of data across R&D data domains Ensure the seamless running of the data-related activities and verify data standard application from ingest through access Maintain documentation and act as an expert on data definitions, data flows, legacy data structures, access rights models, etc. for assigned domain Oversee data pipeline and availability and escalate issues where they surface; ensure on-schedule/on-time delivery and proactive management of risks/issues Educate and guide R&D teams on standards and information management principles, methodologies, best practices, etc. Oversee junior data stewards and/or business analysts based on complexity or size of initiatives/functions supported Deliverables Defines Data quality and communication metrics for assigned domains and 1-2 business functions Implements continuous improvement opportunities such as functional training Accountable for data quality and data management activities for the assigned domains. Facilitates data issue resolution Defines business terms and data elements (metadata) according to data standards, and ensures standardization/normalization of metadata Leads working groups to identify data elements, perform root cause and impact analysis, and identify improvements for metadata and data quality Regularly communicates with other data leads, expert Data Steward and escalates issues as appropriate About You Experience in Data cataloging, Data Governance, Data Analysis, Data Quality, Metadata, Business Data Management, Information Architecture, Technology, or related fields Demonstrated ability to understand end-to-end data use and needs Knowledge of R&D data domains (e.g., across research, clinical, regulatory etc) Solid grasp of data governance practices and track record of implementation Ability to understand data processes and requirements, particularly in R&D at an enterprise level Demonstrated strong attention to detail, quality, time management and customer focus Excellent written and oral communications skills, Strong networking, influencing and negotiating skills and superior problem-solving skills, demonstrated willingness to make decisions and to take responsibility for such Excellent interpersonal skills (team player), People management skills either in matrix or direct line function Familiar with data management practices and technologies (e.g., Collibra, Informatica etc); experience in practices not required, Knowledge of pharma R&D industry regulations and compliance requirements related to data governance Bachelor's in computer science, Business, Engineering, Information Technology null Show more Show less

Job title: Data Modelling Manager Location: Hyderabad About The Job Sanofi is a global life sciences company committed to improving access to healthcare and supporting the people we serve throughout the continuum of care. From prevention to treatment, Sanofi transforms scientific innovation into healthcare solutions, in human vaccines, rare diseases, multiple sclerosis, oncology, immunology, infectious diseases, diabetes and cardiovascular solutions and consumer healthcare. More than 110,000 people in over 100 countries at Sanofi are dedicated to making a difference on patients’ daily life, wherever they live and enabling them to enjoy a healthier life. As a company with a global vision of drug development and a highly regarded corporate culture, Sanofi is recognized as one of the best pharmaceutical companies in the world and is pioneering the application of Artificial Intelligence (AI) with strong commitment to develop advanced data standards to increase reusability & interoperability and thus accelerate impact on global health. The R&D Data Office serves as a cornerstone to this effort. Our team is responsible for cross-R&D data strategy, governance, and management. We sit in partnership with Business and Digital, and drive data needs across priority and transformative initiatives across R&D. Team members serve as advisors, leaders, and educators to colleagues and data professionals across the R&D value chain. As an integral team member, you will be responsible for defining how R&D's structured, semi-structured and unstructured data will be stored, consumed, integrated / shared and reported by different end users such as scientists, clinicians, and more. You will also be pivotal in the development of sustainable mechanisms for ensuring data are FAIR (findable, accessible, interoperable, and reusable). Position Summary The R&D Data Modeler develops conceptual and logical data models for initiatives, programs, and cross-R&D capabilities. This role is critical for creation of data models and ontologies, and upkeep of models even beyond the conclusion of a project. Data modelers will apply and assist in the definition and governance of data modelling and design standards, tools, best practices, and related development of any R&D data capability. Main Responsibilities Engage in data management and analytics projects; understand, advise, and execute on data flow optimization (e.g., data capture, integration and use across R&D) Understand the data-related needs for various cross-R&D capabilities (E.g., data catalog, master data management etc) and associated initiatives Design conceptual and logical data models and data dictionaries/ontologies to cater to R&D business needs and functional requirements; lead validation of physical data models Interact with business, R&D Digital, and other data collaborators to translate needs into data solutions Understand market trends for data modelling tools and metadata management capabilities; provides input into selection of tools and any necessary migration into company’s environment Understand data governance policies, standards and procedures for R&D data Serve as point of contact for data integration topics within solutions (e.g., technology), from source systems to data consumers; define process, tools, and testing requirements Maintain modelling and naming standards, and data harmonization, metadata management, and source-to-target data mapping documentation Evaluate and influence projects while serving as “voice-of-business”; map systems/interfaces for data management, set standards for future state, and close gap from current-to-future state Serve as technical and data consultant for R&D initiatives with major platforms/technology implementations Maintain documentation and act as an expert on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. for R&D functions Educate and guide R&D teams on standards and information management principles, methodologies, best practices, etc. Deliverables Conduct requirements gathering from business analysts, data scientists, and other stakeholders Formulate strategies, and query optimizations to enhance data retrieval speed Develop complex and scalable data models aligned to organization’s long term strategic goals Formulate data governance frameworks, policies, and standards Establish best practices for data modeling ensuring interoperability among systems, applications & data sources About You Experience in Data Modelling, business data management, information architecture, technology or other related field Demonstrated ability to understand end-to-end data use and business needs Knowledge of R&D data and data domains (e.g., across research, clinical, regulatory etc) Experience with creating and applying data modelling best practices and naming conventions Strong analytical problem-solving skills Demonstrated strong attention to detail, quality, time management and customer focus Excellent written and oral communications skills Strong networking, influencing and negotiating skills and superior problem-solving skills Demonstrated willingness to make decisions and to take responsibility for such Excellent interpersonal skills (team player) Experience with data management practices and technologies (e.g., Collibra, Informatica etc) Familiar with databases (relational, dimensional, NoSQL, etc) and concepts of data integrity Strong knowledge of data architecture (e.g., data lake, data virtualization, hubs etc) and modelling (e.g., 3nf etc) is required, Experience in big data infrastructures (E.g., Hadoop, NOSQL etc) Experience with SDLC and pharma R&D platforms; experience with requirements gathering, system design, and validation/quality/compliance requirements, Experience managing technology and/or data warehouse projects Familiarity with relationship databases and entity-relationship data modelling, Experience with hierarchical data models from conceptualization to database optimization Education: Bachelor’s in computer science, Engineering, Mathematics, Statistics, or related; Masters preferred null Show more Show less

Job title: Data Modelling Manager Associate Location: Hyderabad About The Job Sanofi is a global life sciences company committed to improving access to healthcare and supporting the people we serve throughout the continuum of care. From prevention to treatment, Sanofi transforms scientific innovation into healthcare solutions, in human vaccines, rare diseases, multiple sclerosis, oncology, immunology, infectious diseases, diabetes and cardiovascular solutions and consumer healthcare. More than 110,000 people in over 100 countries at Sanofi are dedicated to making a difference on patients’ daily life, wherever they live and enabling them to enjoy a healthier life. As a company with a global vision of drug development and a highly regarded corporate culture, Sanofi is recognized as one of the best pharmaceutical companies in the world and is pioneering the application of Artificial Intelligence (AI) with strong commitment to develop advanced data standards to increase reusability & interoperability and thus accelerate impact on global health. The R&D Data Office serves as a cornerstone to this effort. Our team is responsible for cross-R&D data strategy, governance, and management. We sit in partnership with Business and Digital, and drive data needs across priority and transformative initiatives across R&D. Team members serve as advisors, leaders, and educators to colleagues and data professionals across the R&D value chain. As an integral team member, you will be responsible for defining how R&D's structured, semi-structured and unstructured data will be stored, consumed, integrated / shared and reported by different end users such as scientists, clinicians, and more. You will also be pivotal in the development of sustainable mechanisms for ensuring data are FAIR (findable, accessible, interoperable, and reusable). Position Summary The R&D Data Modeler develops conceptual and logical data models for initiatives, programs, and cross-R&D capabilities. This role is critical for creation of data models and ontologies, and upkeep of models even beyond the conclusion of a project. Data modelers will apply and assist in the definition and governance of data modelling and design standards, tools, best practices, and related development of any R&D data capability. Main Responsibilities Understand the data-related needs for various cross-R&D capabilities (E.g., data catalog, master data management etc) and associated initiatives Design conceptual and logical data models and data dictionaries/ontologies to cater to R&D business needs and functional requirements; lead validation of physical data models Interact with business, R&D Digital, and other data collaborators to translate needs into data solutions Understand data governance policies, standards and procedures for R&D data Maintain modelling and naming standards, and data harmonization, metadata management, and source-to-target data mapping documentation Evaluate and influence projects while serving as “voice-of-business”; map systems/interfaces for data management, set standards for future state, and close gap from current-to-future state Serve as technical and data consultant for R&D initiatives with major platforms/technology implementations Maintain documentation and act as an expert on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. for R&D functions Educate and guide R&D teams on standards and information management principles, methodologies, best practices, etc. Deliverables Conduct requirements gathering from business analysts, data scientists, and other stakeholders Formulate strategies, and query optimizations to enhance data retrieval speed Develop complex and scalable data models aligned to organization’s long term strategic goals Formulate data governance frameworks, policies, and standards Establish best practices for data modeling ensuring interoperability among systems, applications & data sources About You Experience in Pharm domain, Data Governance, Data flows, business data management, information & data architecture, technology or another related field Demonstrated ability to understand end-to-end data use and business needs Experience in Conceptual and Logical modeling Identify and define data domain hierarchies, expertise to data security and privacy standards, Knowledge of R&D data and data domains (e.g., across research, clinical, regulatory etc) Experience with creating and applying data modelling (conceptual, logical and physical) best practices and naming conventions, Strong analytical problem-solving skills Demonstrated strong attention to detail, quality, time management and customer focus, Excellent written and oral communications skills Strong networking and negotiating skills to collaborate and influence stakeholders in building and managing R&D level data domain structures using best practices, demonstrated willingness to make decisions and to take responsibility for such, Excellent interpersonal skills (team player) Experience with data management practices and technologies (e.g., Collibra, Informatica etc), Familiar with databases (relational, dimensional, NoSQL, etc) and concepts of data integrity, Strong knowledge of data architecture (e.g., data lake, data virtualization, hubs etc) and modelling (e.g., 3nf etc) is required Experience with SDLC and pharma R&D platforms; experience with requirements gathering, system design, and validation/quality/compliance requirements Experience managing technology and/or data warehouse projects Familiarity with relationship databases and entity-relationship data modelling Experience with hierarchical data models from conceptualization to database optimization Education: Bachelor’s in computer science, Engineering, Mathematics, Statistics, or related; Masters preferred null Show more Show less

Data Governance, Data Quality, Data Management Collibra, Alation MDM, and BI/reporting processes data privacy regulations (GDPR, CCPA, etc.) Agile project environments

Job Description Promote & ensure high-quality, fit-for-purpose data as part of Chief Data Office, shaping industry-leading data management strategies The successful candidate will join a team focused on delivering business impact through transformation of Data Quality management. The role will require working with stakeholders across the Corporate & Investment Bank, other Lines of Business and Corporate Functions to ensure fit-for-purpose data, looking to leverage best practice across the industry and other J.P. Morgan business units. This role provides an outstanding opportunity for the selected candidate to join a high-profile team at JPMorgan Chase and take a partnership role, supporting one of the Bank’s most significant change programs. As a Data Management Associate within the Chief Data Office, you will play a crucial role in advocating and ensuring top-notch, purpose-specific data. You will have the chance to shape top-tier data management strategies and collaborate with stakeholders across the Corporate and Investment Bank, other Lines of Business, and Corporate Functions. Your role will require demonstrating a robust understanding of data governance, data quality, data lineage, and metadata management concepts. You will offer data quality advisory services on specific high-profile data issues/initiatives through concentrated project management and in-depth business analysis. This role offers an exceptional opportunity to join a high-profile team at JPMorgan Chase and assume a partnership role, supporting one of the Bank's most significant change programs. Job Responsibilities Demonstrate strong understanding of data governance, data quality, data lineage and metadata management concepts Provide data quality advisory services on specific high-profile data issues/initiatives through focused project management and deep business analysis Implement and support Data Quality (DQ) practices across the CIB: Leverage data lineage documentation to trace data flows associated with issues Build strong partnerships across CIB sub-LOBs and corporate functions to support data quality efforts Accelerate data quality issue level root cause analysis and resolution through effective program governance, process mapping and data deep-dives Query data-marts/data-stores to extract knowledge and actionable insights to identify root cause of issues Discuss and agree technical resolutions with technology teams to remediate DQ issues Discover and document data-lineage to trace the end-to-end data journey from point of creation to consumption. Set up data profiling and DQ rules leveraging DQ tools like Collibra, Informatica and other emerging tools Leverage productivity tools such as Alteryx and visualization tools such as Tableau/Qlikview to analyze large dataset to draw inferences Required Qualifications, Capabilities And Skills 7+ years’ experience in Financial Services with Data analytics/Project Management/ Business Analysis background Experience in Data quality, Data lineage and Metadata management Excellent analytical and problem-solving skills. Capacity to think laterally and convey an understanding of the big picture Proficiency in manipulating and analyzing large data sets in Excel (pivots, formulas, charts, etc.) Excellent communication, presentation (both oral and written) & influencing skills - candidate will be dealing with stakeholders of varying degrees of seniority across Corporate/Firmwide, Finance, Risk, Compliance, Operations and Technology teams Self-starter, able to work autonomously, with strong time management skills; efficient at multi-tasking and able to work under pressure to deliver multiple business demands on-time, to a high standard Basic understanding of the company's business practices and familiarity with the company's products and services Preferred Qualifications, Capabilities And Skills Experience in CIB and CDO/Data Quality organization Experience in querying database/data stores for data analysis. Experience in producing PowerPoint presentations for senior audiences Exposure to tools/technologies such as Alteryx/Tableau/SQL/Informatica/Collibra JPMorgan Chase is an Equal Opportunity and Affirmative Action Employer, M/F/D/V About Us JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team The Corporate & Investment Bank is a global leader across investment banking, wholesale payments, markets and securities services. The world’s most important corporations, governments and institutions entrust us with their business in more than 100 countries. We provide strategic advice, raise capital, manage risk and extend liquidity in markets around the world. Show more Show less

About McDonald’s: One of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe. Position Summary: Data Quality Engineering Support:(Manager, Data Operations & Management_G4_EDAA0605_EDAA0606_EDAA0607_EDAA0608_EDAA0609) As the Data Quality Engineering Support Manager, you will be responsible for implementing, scaling, and supporting enterprise-wide data quality frameworks across cloud-native data platforms. You will drive hands-on initiatives to monitor, validate, and reconcile data across ingestion, processing, and consumption layers—enabling trusted data for analytics, AI/ML, and operational workflows. This role requires a blend of technical depth, platform expertise (e.g., BigQuery, Redshift, GCP, AWS), and collaboration across engineering, governance, and product teams. Who we’re looking for: Primary Responsibilities: Data Quality Engineering & Monitoring Implement and support automated data quality checks for accuracy, completeness, timeliness, and consistency across datasets. Develop validation frameworks for ingestion pipelines, curated layers, and reporting models in platforms like BigQuery and Redshift. Integrate data quality controls into CI/CD pipelines and orchestration tools (e.g., Airflow, Cloud Composer). Data Quality Operations Respond to and resolve data quality incidents and discrepancies across data domains and systems. Collaborate with engineering and product teams to implement root cause analysis and build long-term remediation strategies. Establish SLAs and alerting thresholds for data quality KPIs. Cloud Platform Integration Deploy scalable data quality monitoring solutions across GCP (BigQuery, Cloud Storage) and AWS (Redshift, S3, Glue). Leverage platform-native services and third-party tools for automated profiling, rule enforcement, and anomaly detection. Governance Alignment Partner with data governance teams to align quality rules with business glossary terms, reference data, and stewardship models. Integrate quality metadata into governance tools such as Collibra, enabling lineage and audit tracking. Documentation, Enablement & Collaboration Maintain playbooks, documentation, and automated reporting for quality audits and exception handling. Collaborate with data owners, analysts, and data product teams to promote a culture of data trust and shared ownership. Provide training and knowledge-sharing to enable self-service quality monitoring and issue triaging. Skill: 5+ years of experience in data quality engineering, data operations, or data pipeline support, ideally in a cloud-first environment. Hands-on expertise in: Building and managing data quality checks (e.g., null checks, duplicates, data drift, schema mismatches) SQL and Python for quality validation and automation Working with cloud-native data stacks: BigQuery, Redshift, GCS, S3 Data quality monitoring tools or frameworks (e.g., Dataplex, Lightup, Collibra) Strong troubleshooting skills across distributed data systems and pipelines. Bachelor’s degree in Computer Science, Information Systems, or related field. Preferred Experience: Experience in Retail or Quick Service Restaurant (QSR) environments with high-volume data ingestion and reporting requirements. Familiarity with data governance platforms (e.g., Collibra) and integration of quality rules into metadata models. Exposure to AI/ML data pipelines and the impact of data quality on model performance. Current GCP Associates (or Professional) Certification. Work location: Hyderabad, India Work hours: Work pattern: Full time role. Work mode: Hybrid. Additional Information: McDonald’s is committed to providing qualified individuals with disabilities with reasonable[LG1] accommodations to perform the essential functions of their jobs. McDonald’s provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. McDonald’s Capability Center India Private Limited (“McDonald’s in India”) is a proud equal opportunity employer and is committed to hiring a diverse workforce and sustaining an inclusive culture. At McDonald’s in India, employment decisions are based on merit, job requirements, and business needs, and all qualified candidates are considered for employment. McDonald’s in India does not discriminate based on race, religion, colour, age, gender, marital status, nationality, ethnic origin, sexual orientation, political affiliation, veteran status, disability status, medical history, parental status, genetic information, or any other basis protected under state or local laws. Nothing in this job posting or description should be construed as an offer or guarantee of employment. Show more Show less

dunnhumby is the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. We always put the Customer First. Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail – one of the world’s most competitive markets, with a deluge of multi-dimensional data – dunnhumby today enables businesses all over the world, across industries, to be Customer First. dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Meijer, Procter & Gamble and Metro. dunnhumby is the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. We always put the Customer First. Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail – one of the world’s most competitive markets, with a deluge of multi-dimensional data – dunnhumby today enables businesses all over the world, across industries, to be Customer First. dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Meijer, Procter & Gamble and Metro. We’re looking for a Sr Big Data Engineer who expects more from their career. It’s chance to extend and improve dunnhumby’s Data Engineering Team.It’s an opportunity to work with a market-leading business to explore new opportunities for us and influence global retailers. Key Responsibilities Design end-to-end data solutions, including data lakes, data warehouses, ETL/ELT pipelines, APIs, and analytics platforms. Architect scalable and low-latency data pipelines using tools like Apache Kafka, Flink, or Spark Streaming to handle high-velocity data streams. Design /Orchestrate end-to-end automation using orchestration frameworks such as Apache Airflow to manage complex workflows and dependencies. Design intelligent systems that can detect anomalies, trigger alerts, and automatically reroute or restart processes to maintain data integrity and availability. Develop scalable data architecture strategies that support advanced analytics, machine learning, and real-time data processing. Define and implement data governance, metadata management, and data quality standards. Lead architectural reviews and technical design sessions to guide solution development. Partner with business and IT teams to translate business needs into data architecture requirements. Explore appropriate tools, platforms, and technologies aligned with organizational standards. Ensure security, compliance, and regulatory requirements are addressed in all data solutions. Evaluate and recommend improvements to existing data architecture and processes. Provide mentorship and guidance to data engineers and technical teams. Technical Expertise Bachelor's or master's degree in computer science, Information Systems, Data Science, or related field. 7+ years of experience in data architecture, data engineering, or a related field. Proficient in data pipeline tools such as Apache Spark, Kafka, Airflow, or similar. Experience with data governance frameworks and tools (e.g., Collibra, Alation, OpenMetadata). Strong knowledge of cloud platforms (Azure or Google Cloud), especially with cloud-native data services. Strong understanding of API design and data security best practices. Familiarity with data mesh, data fabric, or other emerging architectural patterns. Experience working in Agile or DevOps environments. Experience with modern data stack tools (e.g., dbt, Snowflake, Databricks). Extensive experience with high level programming languages - Python, Java & Scala Experience with Hive, Oozie, Airflow, HBase, MapReduce, Spark along with working knowledge of Hadoop/Spark Toolsets. Extensive Experience working with Git and Process Automation In depth understanding of relational database management systems (RDBMS) and Data Flow Development. Soft Skills Problem-Solving: Strong analytical skills to troubleshoot and resolve complex data pipeline issues. Communication: Ability to articulate technical concepts to non-technical stakeholders and document processes clearly. Collaboration: Experience working in cross-functional teams and managing stakeholder expectations. Adaptability: Willingness to learn new tools and technologies to stay ahead in the rapidly evolving data landscape. What You Can Expect From Us We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn. And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One and dh Thrive as the living proof. Everyone’s invited. Our approach to Flexible Working At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process. What You Can Expect From Us We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn. And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you. For an informal and confidential chat please contact stephanie.winson@dunnhumby.com to discuss how we can meet your needs. Our approach to Flexible Working At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process. For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here) Show more Show less

dunnhumby is the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. We always put the Customer First. Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail – one of the world’s most competitive markets, with a deluge of multi-dimensional data – dunnhumby today enables businesses all over the world, across industries, to be Customer First. dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Meijer, Procter & Gamble and Metro. Most companies try to meet expectations, dunnhumby exists to defy them. Using big data, deep expertise and AI-driven platforms to decode the 21st century human experience – then redefine it in meaningful and surprising ways that put customers first. Across digital, mobile and retail. For brands like Tesco, Coca-Cola, Procter & Gamble and PepsiCo. We’re looking for a Big Data Engineer who expects more from their career. It’s a chance to extend and improve dunnhumby’s Data Engineering Team It’s an opportunity to work with a market-leading business to explore new opportunities for us and influence global retailers. Joining our team, you’ll work with world class and passionate people which is part of Innovation Technology. You will be responsible for working with stakeholders in the development of data technology that meet the goals of the dunnhumby technology strategy and data principles. Additionally, this individual will be called upon to contribute to a growing list of dunnhumby data best practices. Key Responsibilities Build end-to-end data solutions, including data lakes, data warehouses, ETL/ELT pipelines, APIs, and analytics platforms. Build scalable and low-latency data pipelines using tools like Apache Kafka, Flink, or Spark Streaming to handle high-velocity data streams. Automate data pipelines and processes end-to-end using orchestration frameworks such as Apache Airflow to manage complex workflows and dependencies. Develop intelligent systems that can detect anomalies, trigger alerts, and automatically reroute or restart processes to maintain data integrity and availability. Develop pipeline for real-time data processing. Implement data governance, metadata management, and data quality standards. Explore appropriate tools, platforms, and technologies aligned with organizational standards. Ensure security, compliance, and regulatory requirements are addressed in all data solutions. Evaluate and recommend improvements to existing data architecture and processes. Technical Expertise Bachelor's or master's degree in computer science, Information Systems, Data Science, or related field. 3+ years of experience in data architecture, data engineering, or a related field. Proficient in data pipeline tools such as Apache Spark, Kafka, Airflow, or similar. Familiarity with data governance frameworks and tools (e.g., Collibra, Alation, OpenMetadata). Good experience of cloud platforms (Azure or Google Cloud), especially with cloud-native data services. Familiarity of API design and data security best practices. Familiarity with data mesh, data fabric, or other emerging architectural patterns. Experience working in Agile or DevOps environments. Extensive experience with high level programming languages - Python, Java & Scala Experience with Hive, Oozie, Airflow, HBase, MapReduce, Spark along with working knowledge of Hadoop/Spark Toolsets. Experience working with Git and Process Automation In depth understanding of relational database management systems (RDBMS) and Data Flow Development Soft Skills Problem-Solving: Strong analytical skills to troubleshoot and resolve complex data pipeline issues. Communication: Ability to articulate technical concepts to non-technical stakeholders and document processes clearly. Collaboration: Experience working in cross-functional teams Adaptability: Willingness to learn new tools and technologies to stay ahead in the rapidly evolving data landscape. What You Can Expect From Us We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn. And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One and dh Thrive as the living proof. Everyone’s invited. Our approach to Flexible Working At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process. For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here) What You Can Expect From Us We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn. And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you. For an informal and confidential chat please contact stephanie.winson@dunnhumby.com to discuss how we can meet your needs. Our approach to Flexible Working At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process. For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here) Show more Show less

dunnhumby is the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. We always put the Customer First. Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail – one of the world’s most competitive markets, with a deluge of multi-dimensional data – dunnhumby today enables businesses all over the world, across industries, to be Customer First. dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Meijer, Procter & Gamble and Metro. Most companies try to meet expectations, dunnhumby exists to defy them. Using big data, deep expertise and AI-driven platforms to decode the 21st century human experience – then redefine it in meaningful and surprising ways that put customers first. Across digital, mobile and retail. For brands like Tesco, Coca-Cola, Procter & Gamble and PepsiCo. We’re looking for a Big Data Engineer who expects more from their career. It’s a chance to extend and improve dunnhumby’s Data Engineering Team It’s an opportunity to work with a market-leading business to explore new opportunities for us and influence global retailers. Joining our team, you’ll work with world class and passionate people which is part of Innovation Technology. You will be responsible for working with stakeholders in the development of data technology that meet the goals of the dunnhumby technology strategy and data principles. Additionally, this individual will be called upon to contribute to a growing list of dunnhumby data best practices. Key Responsibilities Build end-to-end data solutions, including data lakes, data warehouses, ETL/ELT pipelines, APIs, and analytics platforms. Build scalable and low-latency data pipelines using tools like Apache Kafka, Flink, or Spark Streaming to handle high-velocity data streams. Automate data pipelines and processes end-to-end using orchestration frameworks such as Apache Airflow to manage complex workflows and dependencies. Develop intelligent systems that can detect anomalies, trigger alerts, and automatically reroute or restart processes to maintain data integrity and availability. Develop pipeline for real-time data processing. Implement data governance, metadata management, and data quality standards. Explore appropriate tools, platforms, and technologies aligned with organizational standards. Ensure security, compliance, and regulatory requirements are addressed in all data solutions. Evaluate and recommend improvements to existing data architecture and processes. Technical Expertise Bachelor's or master's degree in computer science, Information Systems, Data Science, or related field. 3+ years of experience in data architecture, data engineering, or a related field. Proficient in data pipeline tools such as Apache Spark, Kafka, Airflow, or similar. Familiarity with data governance frameworks and tools (e.g., Collibra, Alation, OpenMetadata). Good experience of cloud platforms (Azure or Google Cloud), especially with cloud-native data services. Familiarity of API design and data security best practices. Familiarity with data mesh, data fabric, or other emerging architectural patterns. Experience working in Agile or DevOps environments. Extensive experience with high level programming languages - Python, Java & Scala Experience with Hive, Oozie, Airflow, HBase, MapReduce, Spark along with working knowledge of Hadoop/Spark Toolsets. Experience working with Git and Process Automation In depth understanding of relational database management systems (RDBMS) and Data Flow Development Soft Skills Problem-Solving: Strong analytical skills to troubleshoot and resolve complex data pipeline issues. Communication: Ability to articulate technical concepts to non-technical stakeholders and document processes clearly. Collaboration: Experience working in cross-functional teams Adaptability: Willingness to learn new tools and technologies to stay ahead in the rapidly evolving data landscape. What You Can Expect From Us We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn. And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One and dh Thrive as the living proof. Everyone’s invited. Our approach to Flexible Working At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process. For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here What You Can Expect From Us We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn. And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you. For an informal and confidential chat please contact stephanie.winson@dunnhumby.com to discuss how we can meet your needs. Our approach to Flexible Working At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process. For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here) Show more Show less

Role & responsibilities Develop and design custom Collibra workflows that meet business and governance requirements for data product management, access management, data catalog management using Workflow Designer module. Integrate Collibra seamlessly with Azure using out of the box and custom connectors, ensuring optimal performance and scalability. Provide technical expertise and guidance on best practices for designing and implementing workflows using Collibra in an Azure services and environment. Conduct thorough testing and validation of workflows to ensure robustness and reliability. Support and enhance data management and governance initiatives

About McDonald’s: One of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe. Position Summary: Data Quality Lead:(Sr Manager, Data Operations & Management_G5_EDAA0610) As the Data Quality Lead, you will define and drive the enterprise-wide strategy for data quality management—ensuring that data is accurate, consistent, and trustworthy across the analytics and AI/ML ecosystem. This role combines strategic leadership with technical execution, overseeing quality frameworks, tooling, and cross-functional processes that ensure data integrity across cloud-native platforms such as GCP, AWS, BigQuery, and Redshift. You will collaborate closely with data governance, engineering, and business teams to embed data quality into the core of operational and analytical systems. Who we’re looking for: Primary Responsibilities: Data Quality Strategy & Leadership Define and lead the implementation of enterprise data quality frameworks, standards, and operating models. Establish and track data quality KPIs, thresholds, and remediation SLAs across domains and business functions. Champion a data quality mindset across the organization by partnering with data owners, stewards, and executives. Cloud Platform & Data Ecosystem Integration Design and oversee quality frameworks across GCP (BigQuery, GCS) , AWS (Redshift, S3) , and hybrid environments. Integrate data quality validation and monitoring into data ingestion, transformation, and AI/ML pipelines. Oversee automation and observability for data quality using tools like Airflow , Cloud Composer , and CI/CD pipelines . Tooling & Automation Lead the evaluation, implementation, and expansion of data quality tools (e.g., Dataplex, Lightup, Collibra, or custom frameworks). Integrate data quality metrics and rules with Collibra or similar governance platforms for lineage, stewardship, and policy enforcement. Ensure quality rules are version-controlled, modular, and adaptable for new data domains. Operations & Incident Management Oversee enterprise processes for data anomaly detection, triage, root cause analysis, and resolution. Coordinate quality audits, incident reviews, and continuous improvement programs with data engineering and analytics teams. Ensure compliance with internal standards and external regulations (e.g., GDPR, CCPA, HIPAA). Team Leadership & Collaboration Lead a team of data quality engineers and analysts to implement and scale quality controls. Collaborate with data governance, data engineering, AI/ML, and domain owners to embed quality into product and platform development. Present strategic insights, trends, and risks to senior leadership and data councils. Skill: 8+ years of experience in data quality , data governance , or data operations , with at least 3 years in a leadership role. Proven experience with: Data quality tooling and validation frameworks Cloud-native environments: GCP (BigQuery, GCS) and AWS (Redshift, S3) Scripting in SQL and Python for custom checks, validation jobs, and automation Data quality integration with governance platforms such as Collibra Strong analytical and problem-solving skills, particularly in diagnosing and preventing data integrity issues. Bachelor's or Master’s degree in Computer Science, Data Science, Information Systems, or a related field. Preferred Experience: Experience in Retail or Quick Service Restaurant (QSR) environments where trusted data is critical for real-time decisions. Familiarity with AI/ML pipelines and how upstream data quality affects model performance. Understanding of data mesh , domain-based ownership , and federated data quality models . Current GCP Associates (or Professional) Certification. Work location: Hyderabad, India Work hours: Work pattern: Full time role. Work mode: Hybrid. Additional Information: McDonald’s is committed to providing qualified individuals with disabilities with reasonable[LG1] accommodations to perform the essential functions of their jobs. McDonald’s provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. McDonald’s Capability Center India Private Limited (“McDonald’s in India”) is a proud equal opportunity employer and is committed to hiring a diverse workforce and sustaining an inclusive culture. At McDonald’s in India, employment decisions are based on merit, job requirements, and business needs, and all qualified candidates are considered for employment. McDonald’s in India does not discriminate based on race, religion, colour, age, gender, marital status, nationality, ethnic origin, sexual orientation, political affiliation, veteran status, disability status, medical history, parental status, genetic information, or any other basis protected under state or local laws. Nothing in this job posting or description should be construed as an offer or guarantee of employment. Show more Show less

About McDonald’s: One of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe. Position Summary: Data Accessibility Lead:(Sr Manager, Data Operations & Management_G5_EDAA0488_EDAA0489) As the Data Accessibility Lead, you will drive the enterprise-wide strategy for enabling secure, governed, and scalable access to data for AI/ML, analytics, and business operations. You will lead cross-functional teams responsible for managing data lifecycle, enforcing data quality standards, and implementing modern governance tooling such as Collibra. This role is pivotal to operationalizing data accessibility across cloud platforms like GCP and AWS, including BigQuery, Redshift, and other core data infrastructure. Who we’re looking for: Primary Responsibilities: Strategic Data Accessibility Leadership Set the strategic direction for enterprise data accessibility, ensuring consistent and secure access across teams and platforms. Lead the implementation and adoption of data governance tools (e.g., Collibra ) to manage metadata, lineage, and data policies. Champion enterprise adoption of semantic and technical metadata practices for improved discoverability and data use. AI/ML Enablement Oversee the availability, quality, and governance of data used for AI/ML model development and lifecycle management . Ensure that model training, validation, and deployment pipelines have reliable and timely access to governed datasets. Partner with MLOps, engineering, and product teams to embed data accessibility standards in model workflows. Cloud Platform Integration Oversee data accessibility initiatives in GCP and AWS , including integration with BigQuery , Redshift , and cloud-native storage. Develop strategies for managing access controls, encryption, and auditability of data assets across cloud environments. Data Governance & Quality Oversight Define and enforce enterprise data quality standards , including data profiling, validation, and exception handling workflows. Ensure compliance with internal data policies and external regulations (e.g., GDPR, HIPAA, CCPA). Lead enterprise initiatives around data lifecycle management , from ingestion and processing to archival and retention. Cross-Functional Collaboration & Leadership Lead and mentor a team of data operations professionals and collaborate with data engineering, governance, AI/ML, and compliance teams. Provide executive-level insights and recommendations for improving enterprise data accessibility, quality, and governance practices. Drive alignment between business units, technical teams, and compliance functions through effective data stewardship. Skill: 8+ years of experience in data operations , data governance , or data quality management , with at least 3 years in a strategic leadership capacity. Strong hands-on and strategic experience with: Collibra or similar data governance platforms Cloud platforms : Google Cloud Platform (GCP), Amazon Web Services (AWS) Enterprise data warehouses such as Big Query , Redshift , or Snowflake AI/ML model lifecycle support and MLOps integration Data quality frameworks, metadata management, and data access policy enforcement SQL Strong analytical and problem-solving skills; ability to work across highly matrixed, global organizations. Exceptional communication, leadership, and stakeholder management skills. Bachelor’s or Master’s degree in Data Science, Information Systems, or a related field. Preferred Experience: Experience in Retail or Quick Service Restaurant (QSR) environments with operational and real-time analytics needs. Familiarity with data mesh concepts, data product ownership, and domain-based accessibility strategies. Experience navigating privacy, residency, or regulatory compliance in global data environments. Current GCP Associates (or Professional) Certification. Work location: Hyderabad, India Work hours: Work pattern: Full time role. Work mode: Hybrid. Additional Information: McDonald’s is committed to providing qualified individuals with disabilities with reasonable[LG1] accommodations to perform the essential functions of their jobs. McDonald’s provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. McDonald’s Capability Center India Private Limited (“McDonald’s in India”) is a proud equal opportunity employer and is committed to hiring a diverse workforce and sustaining an inclusive culture. At McDonald’s in India, employment decisions are based on merit, job requirements, and business needs, and all qualified candidates are considered for employment. McDonald’s in India does not discriminate based on race, religion, colour, age, gender, marital status, nationality, ethnic origin, sexual orientation, political affiliation, veteran status, disability status, medical history, parental status, genetic information, or any other basis protected under state or local laws. Nothing in this job posting or description should be construed as an offer or guarantee of employment. Show more Show less

About McDonald’s: One of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe. Position Summary: Data Governance Tooling & Lifecycle Mgmt. Lead: (Sr Manager, Data Operations & Management_G5_ EDAA0493_EDAA0494) As the Data Governance Tooling & Lifecycle Management Lead, you will be responsible for the end-to-end strategy, implementation, and operations of data governance tooling and processes across the enterprise. This role leads efforts to enable scalable metadata management, data lineage, data lifecycle governance, and access policy enforcement—using modern platforms such as Collibra and supporting a cloud-native data stack spanning GCP, AWS, BigQuery, and Redshift. You will collaborate across data engineering, architecture, compliance, and analytics teams to ensure data is governed, discoverable, and trusted throughout its lifecycle. Who we’re looking for: Primary Responsibilities: Governance Tooling Ownership Own the architecture, implementation, and administration of enterprise data governance platforms (e.g., Collibra ). Define and evolve governance workflows, including stewardship assignments, metadata curation, approval processes, and policy enforcement. Integrate governance tooling with cloud platforms, data warehouses, and cataloging solutions to enable real-time governance at scale. Lifecycle Management Strategy Develop and implement strategies for data lifecycle governance from ingestion and active use through archival and deletion. Ensure that data retention, archival, and purging practices align with compliance regulations and business needs. Partner with cloud and infrastructure teams to operationalize lifecycle rules across GCP , AWS , and warehouse platforms (e.g., BigQuery , Redshift ). Metadata & Lineage Enablement Drive adoption and quality of technical and business metadata , ensuring traceability and data understanding across systems. Lead initiatives to automate and visualize end-to-end data lineage across source systems, pipelines, warehouses, and BI tools. Policy Management & Compliance Collaborate with legal, compliance, and security teams to define and enforce data access, classification, and privacy policies. Ensure tooling supports regulatory compliance frameworks (e.g., GDPR, CCPA, HIPAA) and internal audit requirements. Collaboration & Enablement Work with data stewards, engineers, and product teams to ensure governance tooling meets user needs and drives adoption. Support enablement efforts through training, documentation, and tooling best practices. Report on governance adoption, data quality KPIs, and policy coverage to senior leadership and data councils. Skill: 8+ years of experience in data governance , metadata management , or data operations , with 3+ years owning enterprise tooling or lifecycle processes. Deep expertise in: Data governance platforms (e.g., Collibra , Alation, Informatica) Metadata and lineage management Cloud platforms : GCP (BigQuery, Cloud Storage), AWS (Redshift, S3) Integration with enterprise data platforms, pipelines, and BI tools Strong understanding of compliance and regulatory data handling practices. Excellent project management and stakeholder communication skills across technical and business domains. Bachelor’s or Master’s degree in Data Management, Information Systems, Computer Science, or related field. Preferred Experience: Experience in Retail or QSR environments managing governance across global data operations. Exposure to data product ownership , data mesh , or federated governance models. Familiarity with APIs and automation scripts to extend and integrate governance workflows with data pipelines and CI/CD processes. Current GCP Associates (or Professional) Certification. Work location: Hyderabad, India Work hours: Work pattern: Full time role. Work mode: Hybrid. Additional Information: McDonald’s is committed to providing qualified individuals with disabilities with reasonable accommodations to perform the essential functions of their jobs. McDonald’s provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. McDonald’s Capability Center India Private Limited (“McDonald’s in India”) is a proud equal opportunity employer and is committed to hiring a diverse workforce and sustaining an inclusive culture. At McDonald’s in India, employment decisions are based on merit, job requirements, and business needs, and all qualified candidates are considered for employment. McDonald’s in India does not discriminate based on race, religion, colour, age, gender, marital status, nationality, ethnic origin, sexual orientation, political affiliation, veteran status, disability status, medical history, parental status, genetic information, or any other basis protected under state or local laws. Nothing in this job posting or description should be construed as an offer or guarantee of employment. Show more Show less