866 Collibra Jobs - Page 20

Job Description Digital Finance Manager – India The ideal candidate will act as the bridge between Finance and IT, bringing hands-on expertise in tools like SAP, Power BI, Alteryx, and RPA platforms, and will play a pivotal role in identifying and delivering finance automation projects aligned with business needs. Purpose of the Role To drive the Digital Finance India Agenda, aligned with Mondelez India SP, by: Bringing in best-in-class business practices, Evaluating digital technologies, Engaging finance and business stakeholders, Driving automation and simplification of financial processes, Enabling future-ready finance operations with minimum manual intervention. Role Overview Acts as a bridge between Finance sub-functions and IT Services. It would also be responsible to identify opportunities, find solutions and its implementations for various processes which are inter-twined between Finance and other functions. You will be responsible for ensuring that Finance IBS projects are successfully delivered on time and on budget. This includes project governance, budget and timeline development, build quality, testing and operational readiness, and the completed project’s readiness to go live; work with project resources to provide design collateral and to configure software components so they are aligned with security policy and governance; and ensure adherence to development and configuration standards and processes. Focuses on identifying automation opportunities across finance processes—especially those that are currently manual (e.g., cash flow statements, reconciliation, reporting). Leads and governs end-to-end project delivery within time and budget (including testing, design, rollout readiness). Drives process redesign and software configuration aligned with security and compliance standards. Important Note : This is not a pure IT role. It requires strong finance acumen and the ability to understand financial reporting, controls, compliance, and analysis needs while embedding digital solutions. Key Accountabilities Develop and implement short, medium, and long-term digital strategies for Finance India. Identify, evaluate, and implement finance automation opportunities (internal + external). Deliver data transformation, automation, visualization, and dashboarding solutions. Manage digital finance projects, ensuring timelines, budgets, and stakeholder expectations are met. Evaluate current finance processes to identify areas for automation, controls improvement, and simplification. Implement new digital tools to improve efficiency and competitiveness. Train finance teams on emerging tools and technologies. Be the go-to digital expert within Finance for process innovation. Collaborate with global and regional stakeholders, including Global Finance Solution Owners and Business Tower leads. Translate business requirements into functional and technical specs. Qualifications & Experience CA or MBA from a reputed university. 8–10 years of progressive experience in finance transformation, with strong focus on analysis, reporting, and forecasting Demonstrated expertise in digital tools relevant to finance, including: SAP (S/4HANA, Hyperion, SAP Analytics Cloud) Power BI, Tableau Robotic Process Automation (RPA) Low-Code/No-Code Platforms Hands-on experience in data engineering and analytics tools, such as: Alteryx, Collibra, Talend, Microsoft platform Exposure to finance transformation or consulting, ideally within the FMCG industry, is a strong plus. Within Country Relocation support available and for candidates voluntarily moving internationally some minimal support is offered through our Volunteer International Transfer Policy Business Unit Summary Mondelez India Foods Private Limited (formerly Cadbury India Ltd.) has been in India for over 70 years, making sure our mouth-watering and well-loved local and global brands such as Cadbury chocolates, Bournvita and Tang powdered beverages, Oreo and Cadbury Bournvita biscuits, and Halls and Cadbury Choclairs Gold candies get safely into our customers hands—and mouths . Headquartered in Mumbai, the company has more than 3,300 employees proudly working across sales offices in New Delhi, Mumbai, Kolkata and Chennai and in manufacturing facilities at Maharashtra, Madhya Pradesh, Himachal Pradesh and Andhra Pradesh, at our global Research & Development Technical Centre and Global Business Hub in Maharashtra and in a vast distribution network across the country. We are also proud to be recognised by Avatar as the Best Companies for Women in India in 2019 – the fourth time we’ve received this award. Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. Job Type Regular Finance Planning & Performance Management Finance

Notice Period : immediate -30 days Role Overview : As a Collibra Expert, you will be responsible for implementing, maintaining, and optimizing the Collibra Data Governance Platform to ensure data quality, governance, and lineage across the organization. You will partner with cross-functional teams to develop data management strategies and integrate Collibra solutions with Google Cloud Platform (GCP) to create a robust, scalable, and efficient data governance framework for the retail domain. Key Responsibilities : - Data Governance Management : Design, implement, and manage the Collibra Data Governance Platform for data cataloging, data quality, and data lineage within the retail domain. - Collibra Expertise : Utilize Collibra for metadata management, data quality monitoring, policy enforcement, and data stewardship across various business units. - Data Cataloging : Lead the implementation and continuous improvement of data cataloging processes to enable a centralized, user-friendly view of the organization's data assets. - Data Quality Management : Collaborate with business and technical teams to ensure that data is high-quality, accessible, and actionable. Define data quality rules and KPIs to monitor data accuracy, completeness, consistency, and timeliness. - Data Lineage Implementation : Build and maintain comprehensive data lineage models to visualize the flow of data from source to consumption, ensuring compliance with data governance standards. - GCP Integration : Architect and implement seamless integrations between Collibra and the Google Cloud Platform (GCP) tools such as BigQuery, Dataflow, and Cloud Storage, ensuring data governance policies are enforced in the cloud environment. - Collaboration & Stakeholder Management : Collaborate with Data Engineers, Analysts, Business Intelligence teams, and leadership to define and implement data governance best practices and standards. - Training & Support : Provide ongoing training and support to business users and technical teams on data governance practices, Collibra platform usage, and GCP-based solutions. - Compliance & Security : Ensure data governance initiatives comply with internal policies, industry standards, and regulations (e.g., GDPR, CCPA). Key Requirements : - Proven Expertise in Collibra : Hands-on experience implementing and managing Collibra Data Governance Platform (cataloging, lineage, data quality). - Google Cloud Platform (GCP) Proficiency : Strong experience with GCP tools (BigQuery, Dataflow, Pub/Sub, Cloud Storage, etc.) and integrating them with Collibra for seamless data governance. - Data Quality and Lineage Expertise : In-depth knowledge of data quality frameworks, metadata management, and data lineage implementation. - Retail Industry Experience : Prior experience in data governance within the retail or eCommerce domain is a plus. - Technical Skills : Strong understanding of cloud data architecture and best practices for managing data at scale in the cloud (preferably in GCP). - Problem-Solving and Analytical Skills : Ability to analyze complex data governance issues and find practical solutions to ensure high-quality data management across the organization. - Excellent Communication Skills : Ability to communicate effectively with both technical and non-technical stakeholders to advocate for data governance best practices. - Certifications : Relevant certifications in Collibra, Google Cloud, or Data Governance are highly desirable. Education & Experience : - Bachelor's degree (B. Tech/BE) mandatory, masters optional - 5+ years of experience in Data Governance, with at least 3 years of specialized experience in Collibra and GCP. - Experience working with data teams in a retail environment is a plus.

Key Responsibilities 1. Governance Strategy & Stakeholder Enablement Define and drive enterprise-level data governance frameworks and policies.Align governance objectives with compliance, analytics, and business priorities.Work with IT, Legal, Compliance, and Business teams to drive adoption.Conduct training, workshops, and change management programs. 2. Microsoft Purview Implementation & Administration Administer Microsoft Purview: accounts, collections, RBAC, and scanning policies.Design scalable governance architecture for large-scale data environments (>50TB).Integrate with Azure Data Lake, Synapse, SQL DB, Power BI, and Snowflake. 3. Metadata & Data Lineage Management Design metadata repositories and workflows.Ingest technical/business metadata via ADF, REST APIs, PowerShell, Logic Apps.Validate end-to-end lineage (ADF Synapse Power BI), impact analysis, and remediation. 4. Data Classification & SecurityImplement and govern sensitivity labels (PII, PCI, PHI) and classification policies.Integrate with Microsoft Information Protection (MIP), DLP, Insider Risk, and Compliance Manager.Enforce lifecycle policies, records management, and information barriers.Working knowledge of GDPR, HIPAA, SOX, CCPA.Strong communication and leadership to bridge technical and business governance Location-Mumbai,Hyderabad,Indore,Ahmedabad

Job Description Manager Senior Data Engineer The Opportunity Based in Hyderabad, join a global healthcare biopharma company and be part of a 130- year legacy of success backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare. Be part of an organisation driven by digital technology and data-backed approaches that support a diversified portfolio of prescription medicines, vaccines, and animal health products. Drive innovation and execution excellence. Be a part of a team with passion for using data, analytics, and insights to drive decision-making, and which creates custom software, allowing us to tackle some of the world's greatest health threats. Our Technology Centers focus on creating a space where teams can come together to deliver business solutions that save and improve lives. An integral part of our company’s IT operating model, Tech Centers are globally distributed locations where each IT division has employees to enable our digital transformation journey and drive business outcomes. These locations, in addition to the other sites, are essential to supporting our business and strategy. A focused group of leaders in each Tech Center helps to ensure we can manage and improve each location, from investing in growth, success, and well-being of our people, to making sure colleagues from each IT division feel a sense of belonging to managing critical emergencies. And together, we must leverage the strength of our team to collaborate globally to optimize connections and share best practices across the Tech Centers. Role Overview Designs, builds, and maintains data pipeline architecture - ingest, process, and publish data for consumption. Batch processes collected data, formats data in an optimized way to bring it analyze-ready Ensures best practices sharing and across the organization Enables delivery of data-analytics projects Develops deep knowledge of the company's supported technology; understands the whole complexity/dependencies between multiple teams, platforms (people, technologies) Communicates intensively with other platform/competencies to comprehend new trends and methodologies being implemented/considered within the company ecosystem Understands the customer and stakeholders business needs/priorities and helps building solutions that support our business goals Establishes and manages the close relationship with customers/stakeholders Has overview of the date engineering market development to be able to come up/explore new ways of delivering pipelines to increase their value/contribution Builds “community of practice” leveraging experience from delivering complex analytics projects Is accountable for ensuring that the team delivers solutions with high quality standards, timeliness, compliance and excellent user experience Contributes to innovative experiments, specifically to idea generation, idea incubation and/or experimentation, identifying tangible and measurable criteria Qualifications Bachelor’s degree in Computer Science, Data Science, Information Technology, Engineering or a related field. 3+ plus years of experience as a Data Engineer or in a similar role, with a strong portfolio of data projects. 3+ plus years experience SQL skills, with the ability to write and optimize queries for large datasets. 1+ plus years experience and proficiency in Python for data manipulation, automation, and pipeline development. Experience with Databricks including creating notebooks and utilizing Spark for big data processing. Strong experience with data warehousing solution (such as Snowflake), including schema design and performance optimization. Experience with data governance and quality management tools, particularly Collibra DQ. Strong analytical and problem-solving skills, with an attention to detail. Our technology teams operate as business partners, proposing ideas and innovative solutions that enable new organizational capabilities. We collaborate internationally to deliver services and solutions that help everyone be more productive and enable innovation. Who We Are We are known as Merck & Co., Inc., Rahway, New Jersey, USA in the United States and Canada and MSD everywhere else. For more than a century, we have been inventing for life, bringing forward medicines and vaccines for many of the world's most challenging diseases. Today, our company continues to be at the forefront of research to deliver innovative health solutions and advance the prevention and treatment of diseases that threaten people and animals around the world. What we look for Imagine getting up in the morning for a job as important as helping to save and improve lives around the world. Here, you have that opportunity. You can put your empathy, creativity, digital mastery, or scientific genius to work in collaboration with a diverse group of colleagues who pursue and bring hope to countless people who are battling some of the most challenging diseases of our time. Our team is constantly evolving, so if you are among the intellectually curious, join us—and start making your impact today. #HYDIT2025 Current Employees apply HERE Current Contingent Workers apply HERE Secondary Language(s) Job Description In light of the current state of the AHIT commercial data and analytics function, it is imperative to address the limitations posed by relying on multiple HCL contractors who primarily possess ETL/Informatica skills but lack the essential data engineering expertise. This gap hinders the seamless flow of data through the AHIT digital backbone, which is critical for the successful implementation of the JEDI strategy. The future state envisioned by Merck IT emphasizes a strategic shift towards reducing contractor expenditures by developing in-house capabilities. By leveraging the Hyderabad tech center, we can cultivate a skilled team of data engineers who are not only proficient in ETL processes but also possess the advanced data engineering skills necessary to optimize our data infrastructure. This transition will enable us to enhance data accessibility, improve data quality, and facilitate a frictionless data flow, ultimately supporting the overarching goals of the JEDI strategy. Investing in the hiring of dedicated data engineers will yield significant long-term benefits, including reduced operational costs, increased agility in data management, and the ability to innovate and adapt to evolving business needs. By fostering a robust in-house data engineering team, we can ensure that our data capabilities align with Merck's strategic objectives, driving efficiency and effectiveness across the organization Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Regular Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Hybrid Shift Valid Driving License Hazardous Material(s) Required Skills Business, Business, Business Intelligence (BI), Business Management, Contractor Management, Cost Reduction, Database Administration, Database Optimization, Data Engineering, Data Flows, Data Infrastructure, Data Management, Data Modeling, Data Optimization, Data Quality, Data Visualization, Design Applications, Information Management, Management Process, Operating Cost Reduction, Productivity Improvements, Project Engineering, Social Collaboration, Software Development, Software Development Life Cycle (SDLC) {+ 1 more} Preferred Skills Job Posting End Date 08/20/2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID R350683

Job Description Digital Finance Manager – India The ideal candidate will act as the bridge between Finance and IT, bringing hands-on expertise in tools like SAP, Power BI, Alteryx, and RPA platforms, and will play a pivotal role in identifying and delivering finance automation projects aligned with business needs. Purpose of the Role To drive the Digital Finance India Agenda, aligned with Mondelez India SP, by: Bringing in best-in-class business practices, Evaluating digital technologies, Engaging finance and business stakeholders, Driving automation and simplification of financial processes, Enabling future-ready finance operations with minimum manual intervention. Role Overview Acts as a bridge between Finance sub-functions and IT Services. It would also be responsible to identify opportunities, find solutions and its implementations for various processes which are inter-twined between Finance and other functions. You will be responsible for ensuring that Finance IBS projects are successfully delivered on time and on budget. This includes project governance, budget and timeline development, build quality, testing and operational readiness, and the completed project’s readiness to go live; work with project resources to provide design collateral and to configure software components so they are aligned with security policy and governance; and ensure adherence to development and configuration standards and processes. Focuses on identifying automation opportunities across finance processes—especially those that are currently manual (e.g., cash flow statements, reconciliation, reporting). Leads and governs end-to-end project delivery within time and budget (including testing, design, rollout readiness). Drives process redesign and software configuration aligned with security and compliance standards. Important Note : This is not a pure IT role. It requires strong finance acumen and the ability to understand financial reporting, controls, compliance, and analysis needs while embedding digital solutions. Key Accountabilities Develop and implement short, medium, and long-term digital strategies for Finance India. Identify, evaluate, and implement finance automation opportunities (internal + external). Deliver data transformation, automation, visualization, and dashboarding solutions. Manage digital finance projects , ensuring timelines, budgets, and stakeholder expectations are met. Evaluate current finance processes to identify areas for automation, controls improvement, and simplification. Implement new digital tools to improve efficiency and competitiveness. Train finance teams on emerging tools and technologies. Be the go-to digital expert within Finance for process innovation. Collaborate with global and regional stakeholders, including Global Finance Solution Owners and Business Tower leads. Translate business requirements into functional and technical specs. Qualifications & Experience CA or MBA from a reputed university. 8–10 years of progressive experience in finance transformation, with strong focus on analysis, reporting, and forecasting Demonstrated expertise in digital tools relevant to finance, including: SAP (S/4HANA, Hyperion, SAP Analytics Cloud) Power BI, Tableau Robotic Process Automation (RPA) Low-Code/No-Code Platforms Hands-on experience in data engineering and analytics tools, such as: Alteryx, Collibra, Talend, Microsoft platform Exposure to finance transformation or consulting, ideally within the FMCG industry, is a strong plus. Within Country Relocation support available and for candidates voluntarily moving internationally some minimal support is offered through our Volunteer International Transfer Policy Business Unit Summary Mondelez India Foods Private Limited (formerly Cadbury India Ltd.) has been in India for over 70 years, making sure our mouth-watering and well-loved local and global brands such as Cadbury chocolates, Bournvita and Tang powdered beverages, Oreo and Cadbury Bournvita biscuits, and Halls and Cadbury Choclairs Gold candies get safely into our customers hands—and mouths . Headquartered in Mumbai, the company has more than 3,300 employees proudly working across sales offices in New Delhi, Mumbai, Kolkata and Chennai and in manufacturing facilities at Maharashtra, Madhya Pradesh, Himachal Pradesh and Andhra Pradesh, at our global Research & Development Technical Centre and Global Business Hub in Maharashtra and in a vast distribution network across the country. We are also proud to be recognised by Avatar as the Best Companies for Women in India in 2019 – the fourth time we’ve received this award. Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. Job Type Regular Finance Planning & Performance Management Finance

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. You will leverage domain, technical and business process expertise to provide exceptional support of Amgen’s data governance framework. This role involves working closely with business stakeholders and data analysts to ensure implementation and adoption of the data governance framework. You will collaborate with the Product Owner and other Business Analysts to ensure operational support and excellence from the team. Roles & Responsibilities: Responsible for the data governance and data management framework implementation for the Commercialization domain of the biopharma lifecycle. Responsible for 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. Drives 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. Ensure 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.) define the specifications shaping the development and implementation of data foundations . Build strong relationships with key business leads and partners to ensure their needs are being met Functional Skills: Must-Have Functional Skills: Technical skills with knowledge of Pharma processes with specialization in the Commercialization domain of the biopharma lifecycle. In depth knowledge of data management, common data models, metadata management, data quality, master data management, data stewardship, data protection, etc. In depth 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 In depth experience of working with or supporting systems used to data governance framework. E.g. Collibra, Alation Excellent problem-solving skills and committed attention to detail in finding solutions Good-to-Have Functional Skills: Experience of working with data governance councils or forums Experience with Agile software development methodologies (Scrum) Proficiency in data analysis and quality tools (e.g., SQL, Excel, Python, or SAS) Soft Skills: Highly organized and able to work under minimal supervision Excellent analytical and assessment skills Ability to work effectively with global, virtual teams Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Ambitious to further develop their skills and career Ability to build business relationships and understand end-to-end data use and needs. Excellent interpersonal skills (team player). People management skills either in matrix or direct line function. Strong verbal and written communication skills High degree of initiative and self-motivation. Good presentation and public speaking skills. Strong attention to detail, quality, time management and customer focus. Basic Qualifications: Any Degree and 9-13 years of experience

Job Title: Senior Analyst Data Operations Job Level: P2 FCI(First Citizens India) India is a global delivery center for FCI, the financial partner of the innovation economy and parent of First Citizen India. FCI develops products and provides services in finance, banking operations, and technology, and employs more than 800 employees and will be rapidly expanding. Job location – Bangalore Be Part Of a Bank Like No Other. When you work with the world's most innovative companies, you know you're making a difference. Our clients are the game changers, leaders and investors who fuel the global innovation economy. They're the businesses behind the next medical breakthroughs. And the visionaries whose new technologies could transform the way people live and work. For 35 years, FCI Financial Group and its subsidiaries have helped innovative companies and their investors move ambitious ideas forward, fast. FCI Financial Group’s businesses, including Silicon Valley Bank/ First Citizen India, operate at the intersection of innovation and capital, and provide a comprehensive range of financial services including commercial banking, investment solutions, research and insights, funds management and private banking and wealth advisory. FCI helps high growth companies in the technology, life science and healthcare, private equity and venture capital, and premium wine industries navigate at every stage. In addition, the company focuses on encouraging positive relationships with firms within the private equity and venture capital community worldwide, many of which are also the firm's clients and may invest in the firm's corporate clients. Sr. Data Operations Analyst is responsible to perform SQL developer, Metadata management, Python developer in Data quality or data governance related functions. Should have 3-7 years of overall industry experience which primarily involves and providing analytical and technical skills necessary to innovate, build, and maintain well-managed data solutions and 4-6 years of experience in Banking and financial data domain especially in in data analysis capabilities to solve Data Quality and business problems under the Data Governance Framework. Key Roles & Responsibilities: Key data deliverables at Silicon Valley Bank/ First Citizen India: Duties include Skills and Qualifications: Data Governance background: Exposure to Data Governance, Client data remediation, Data Quality, DQ issue management, DQ control and exceptions remediation in BFSI domain and if any experience in the used cases like CECL, CCAR, FRY14 Schedules, 10K/10Q, Party data, LFI KDEs, FCO KDEs etc. Demonstrating knowledge of data governance, data quality management concepts and data quality tools (i.e. IMB IA, Informatica DQ, Collibra); Understanding of Agile development methodologies, software, data lineage, Data Profiling and data mapping, Experience in Data quality dimension analysis. Up-skilling: Capacity to upskill, constantly learn and independent thinking required. Python Developer: 3-7 years of strong experience in Python, Python developer with a strong foundation in core Python concepts, object-oriented programming, debugging, and version control, along with knowledge of data structures, algorithms, and potentially web frameworks or data science libraries Participate in the entire software development lifecycle, building, testing and delivering high-quality solutions. Collaborate with cross-functional teams to identify and solve complex problems. SQL Developer: Strong proficiency with SQL and its variation among popular databases, exposure to Netezza would be added advantage. Analyze existing SQL queries for performance improvements. Create complex functions and stored procedures Analyze queries, develop security protocols, and resolve problem. Design database architecture and create dashboards Write complex queries for applications and business intelligence reporting Exposure to Database design, structure and development Suggest new queries and increase efficiency of existing queries. Capable of troubleshooting common database issues Skilled at optimizing large, complicated SQL statements. Develop procedures and scripts for data migration. Knowledge of best practices when dealing with relational databases Capable of configuring popular database engines and orchestrating clusters as necessary Data Visualization & Dashboard Development: Preferred to have exposure to data visualization tools. Responsibilities: Python : Understand requirements, write strong, clean and reusable code that can be easily maintained and scaled. SQL: Help write and optimize in-application SQL statements Collaborate with cross-functional teams (e.g., developers, Business owners, project managers, business analysts) to gather requirements and implement solutions. Excellent communication skills with exceptional writing and verbal communication skills to interact with stakeholders Communicate technical information clearly and effectively. Prepare documentations and specifications Handle common database procedures such as upgrade, backup, recovery, migration, etc. Knowledge of SQL Query writing and database security best practices. Profile server resource usage, and optimize and tweak as necessary Collaborate with other team members and stakeholders Ensure performance, security, and availability of databases Analyze performance issues and implement solutions Required Education and Experience 5+ years of experience as a Python and SQL Developer with a strong portfolio of projects. In-depth understanding of the Python software development stacks, ecosystems, frameworks.

1. Strategy, Framework, and Governance Operating Model - Develop and maintain enterprise-wide data governance strategies, standards, and policies. - Align governance practices with business goals like regulatory compliance and analytics readiness. - Define roles and responsibilities within the governance operating model. - Drive governance maturity assessments and lead change management initiatives. 2. Stakeholder Alignment & Organizational Enablement - Collaborate across IT, legal, business, and compliance teams to align governance priorities. - Define stewardship models and create enablement, training, and communication programs. - Conduct onboarding sessions and workshops to promote governance awareness. 3. Architecture Design for Data Governance Platforms - Design scalable and modular data governance architecture. - Evaluate tools like Microsoft Purview, Collibra, Alation, BigID, Informatica. - Ensure integration with metadata, privacy, quality, and policy systems. 4. Microsoft Purview Solution Architecture - Lead end-to-end implementation and management of Microsoft Purview. - Configure RBAC, collections, metadata scanning, business glossary, and classification rules. - Implement sensitivity labels, insider risk controls, retention, data map, and audit dashboards. 5. Metadata, Lineage & Glossary Management - Architect metadata repositories and ingestion workflows. - Ensure end-to-end lineage (ADF → Synapse → Power BI). - Define governance over business glossary and approval workflows.

Skill Collibra Data Quality (DQ) including rule creation, monitoring, and troubleshooting. Application support, DevOps, or Data engineering. understanding of Kubernetes concepts including pods, services, deployments, config maps, and secrets Experience with Docker , Helm, and CI/CD tools (e.g., Jenkins, GitHub Actions). Proficiency in SQL and basic scripting (e.g., Shell, Python). Knowledge of JDBC/ODBC connectors , REST APIs, and enterprise data integration patterns Exposure to cloud environments ( AWS , Azure , or GCP ) and managing DQ components in cloud-native architectures

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. You will leverage domain, technical and business process expertise to provide exceptional support of Amgen’s data governance framework. This role involves working closely with business stakeholders and data analysts to ensure implementation and adoption of the data governance framework. You will collaborate with the Product Owner and other Business Analysts to ensure operational support and excellence from the team. Roles & Responsibilities: Responsible for the data governance and data management framework implementation for the Development domain of the biopharma lifecycle. Responsible for 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. Drives 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. Ensure 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.) define the specifications shaping the development and implementation of data foundations . Build strong relationships with key business leads and partners to ensure their needs are being met Functional Skills: Must-Have Functional Skills: Technical skills with knowledge of Pharma processes with specialization in the Development domain of the biopharma lifecycle. In depth knowledge of data management, common data models, metadata management, data quality, master data management, data stewardship, data protection, etc. In depth 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 In depth experience of working with or supporting systems used to data governance framework. E.g. Collibra, Alation Excellent problem-solving skills and committed attention to detail in finding solutions Good-to-Have Functional Skills: Experience of working with data governance councils or forums Experience with Agile software development methodologies (Scrum) Proficiency in data analysis and quality tools (e.g., SQL, Excel, Python, or SAS) Soft Skills: Highly organized and able to work under minimal supervision Excellent analytical and assessment skills Ability to work effectively with global, virtual teams Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Ambitious to further develop their skills and career Ability to build business relationships and understand end-to-end data use and needs. Excellent interpersonal skills (team player). People management skills either in matrix or direct line function. Strong verbal and written communication skills High degree of initiative and self-motivation. Good presentation and public speaking skills. Strong attention to detail, quality, time management and customer focus. Basic Qualifications: Any Degree and 9-13 years of experience

India - Hyderabad JOB ID: R-218993 ADDITIONAL LOCATIONS: India - Hyderabad WORK LOCATION TYPE: On Site DATE POSTED: Jun. 28, 2025 CATEGORY: Information Systems Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Sr Associate IS Analyst What you will do Let’s do this. Let’s change the world. In this vital role you will In this role you will play a key role in the implementation and adoption of the data governance framework which will modernize Amgen's Veeva data ecosystem, positioning Amgen as a leader in biopharma innovation. This role demonstrates innovative technologies, including Generative AI, Machine Learning, and integrated data. This role involves working closely with business collaborators and data analysts to ensure implementation and adoption of the data governance framework. You will collaborate with the Product Owner and other Business Analysts to ensure operational support and excellence from the team. Roles & Responsibilities: Responsible for the data governance and data management framework implementation for the Development domain of the biopharma lifecycle. Contribute to the operationalization of the Enterprise data governance framework and aligning broader collaborator 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 organizational change. Works with Enterprise MDM and Reference Data to enforce standards and data reusability. Contribute to the multi-functional alignment in their domain(s) of expertise to ensure consistency 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.) define the specifications shaping the development and implementation of data foundations. Build strong relationships with key business leaders and partners to ensure their needs are met Work closely with multi-functional teams, including product management, design, and QA, to deliver high-quality software on time. Maintain detailed documentation of software designs, code, and development processes. Work on integrating with other systems and platforms to ensure seamless data flow and functionality. Stay up to date on Veeva Vault Features, new releases and standard processes around Veeva Platform Governance. Basic Qualifications and Experience: Master’s degree and 5to 7years of Computer Science, IT or related field experience OR Bachelor’s degree and 7 to 9 years of Computer Science, IT or related field experience Functional Skills: Must-Have Skills: Experience with Veeva Vault Platform and Products, including Veeva configuration settings and custom builds. Technical skills with knowledge of Pharma processes with specialization in the Development domain of the biopharma lifecycle. 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 collaborators and external service partners on business process and technology topics Experience of working with or supporting systems used in data governance framework. E.g. Collibra, Alation Excellent problem-solving skills and committed attention to detail in finding solutions Strong knowledge of information systems and network technologies. 6-8 years of experience working in global pharmaceutical Industry Experience in building configured and custom solutions on Veeva Vault Platform. Experience in managing systems, implementing and validating projects in GxP regulated environments. Extensive expertise in SDLC, including requirements, design, testing, data analysis, creating and managing change controls. Proficiency in programming languages such as Python, JavaScript etc. Good understanding of software development methodologies, including Agile and Scrum. Experience with version control systems such as Git. Good-to-Have Skills: Familiarity with relational databases (such as MySQL, SQL server, PostgreSQL etc.) Proficiency in programming languages such as Python, JavaScript or other programming languages Outstanding written and verbal communication skills, and ability to translate technical concepts for non-technical audiences. Experience with ETL Tools (Informatica, Databricks). Experience with API integrations such as MuleSoft. Solid understanding & Proficiency in writing SQL queries. Hands on experience on reporting tools such as Tableau, Spotfire & Power BI. Professional Certifications: Veeva Vault Platform Administrator or Equivalent Vault Certification (Mandatory) SAFe for Teams (Preferred) Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills. Ability to work effectively with global, virtual teams. Team-oriented, with a focus on achieving team goals. Strong presentation and public speaking skills. Shift Information: This position requires you to work a later shift and may be assigned a second or third shift schedule. Candidates must be willing and able to work during evening or night shifts, as required based on business requirements. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. and make a lasting impact with the Amgen team. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided 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 accommodation.

Role & responsibilities Shape technical strategy (e.g., build vs. buy decisions, technical road-mapping) in collaboration with architects Evaluate and identify appropriate technology stacks, platforms and vendors, including web application frameworks and cloud providers for solution development Attend team ceremonies as required; in particular, feature refinement and cross-team iteration reviews/demos Drive the resolution of technical impediments Own the 'success' of foundational enablers Champion for Research and Innovation Lead in scaled agile ceremonies and activities, like quarterly reviews, quarterly increment planning and OKR writing Collaborate with the Platform Owner in the writing and prioritization of technical capabilities and enablers Present platform delivery metrics, OKR health and platform finance status to Executive audiences Collaborate with other Technical Leads Create and maintain the technical roadmap for in-scope products and services at the platform. Preferred candidate profile Total work experience 14-20 years B.E. / B.Tech or equivalent Engineering professional Masters degree or equivalent experience in Marketing, Business or finance is an added advantage 10+ yrs. of experience in technical architecture, solution design, and platform engineering Strong experience in MDM, Data Quality and Data Governance practices including tool stack such as Informatica MDM SaaS, Informatica Data Quality, and Collibra is a plus Good experience with major cloud platforms and data tools in cloud including but not limited to AWS, Microsoft Azure, Kafka, CDC, Tableau, and Data virtualization tools Good experience in ETL and BI solution development and tool stack Informatica ETL experience is a plus Good experience in Data Architecture, SQL, NoSQL, REST API, data security, and AI concepts Familiarity with agile methodologies and data factory operations processes including usage of tools like confluence, Jira and Miro Strong knowledge of industry standards and regulations: A data platform owner should have knowledge of industry standards and regulations related to data management, such as HIPAA, PCI-DSS, and GDPR.

A Day in the Life Our Global Diabetes Capability Center in Pune is expanding to serve more people living with diabetes globally. Our state-of-the-art facility is dedicated to transforming diabetes management through innovative solutions and technologies that reduce the burden of living with diabetes. Medtronic is hiring a Senior Data Governance Engineer. As a Senior engineer, you will be a key member of our Data Governance team, defining scope, assessing current data governance capabilities, building roadmaps to mature data governance capabilities. This role offers a dynamic opportunity to join Medtronic's Diabetes business. Medtronic has announced its intention to separate the Diabetes division to promote future growth and innovation within the business and reallocate investments and resources across Medtronic, subject to applicable information and consultation requirements. While you will start your employment with Medtronic, upon establishment of SpinCo or the transition of the Diabetes business to another company, your employment may transfer to either SpinCo or the other company, at Medtronic's discretion and subject to any applicable information and consultation requirements in your jurisdiction. Responsibilities may include the following and other duties may be assigned. Data Governance Strategy Development - responsible for the strategic development, architectural definition, and enterprise-wide data governance and data management initiatives supporting the delivery of data as a service Provide Data Governance and Data Management advisory expertise Responsible for the identification and evaluation of metadata platform alternatives, the development of the logical metadata framework architecture, and the definition and implementation of metadata maintenance processes Defining Data Governance operating models, roles, and responsibilities in collaboration with Medtronic requirements Responsible for the assessment and selection of Data Management tools landscape including: data profiling, data quality, metadata, MDM, rules engines, and pattern matching Refine and develop the data-centric approach and methodologies which may include areas such as: data strategy, data governance, data lineage, analytics, business intelligence, data architecture, data quality, master data management and data integration and delivery Assess current state capabilities, identify gaps versus leading practices, and recommend future state data requirements Identify opportunities for new workflows, third party glossary/metadata tools, database architectures, and third-party pre-existing data models. Work closely with business and technology stakeholders to assist in understanding and documenting data requirements, lineage, and partnering with IT data integration and data warehouse teams to ensure requirements are effectively executed Help define data modeling naming standards, abbreviations, guidelines, and best practices Enhance or design data model review processes based on business requirements Minimum Qualification: At least 5 years of experience developing / structuring an enterprise wide data governance organization and business process (operating models, roles, partner organizations, responsibilities) Hands-on experience with both the business side and IT side implementing or supporting an MDM and/or Data Warehouse and Reporting IT solutions Utilize strong business knowledge of the investment management industry and common data management operations Broad understanding of the role of data management within global markets organizations, information flow, and data governance issues Domain expertise in specific areas of Data Management such as: data strategy, data governance, data lineage, analytics, business intelligence, data architecture, data quality, master data management and data integration and delivery Note : Immedite or Notice period serving candidates preferred. If interested please share your updated CV on ashwini.ukekar@medtronic.com

Job Description Associate Manager, Scientific Data Engineering The Opportunity Based in Hyderabad, join a global healthcare biopharma company and be part of a 130-year legacy of success backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare. Be part of an organisation driven by digital technology and data-backed approaches that support a diversified portfolio of prescription medicines, vaccines, and animal health products. Drive innovation and execution excellence. Join a team that is passionate about using data, analytics, and insights to drive decision-making and create custom software, allowing us to tackle some of the world's greatest health threats. Our Technology Centers focus on creating a space where teams can come together to deliver business solutions that save and improve lives. An integral part of our company's IT operating model, Tech Centers are globally distributed locations where each IT division has employees to enable our digital transformation journey and drive business outcomes. These locations, in addition to the other sites, are essential to supporting our business and strategy. A focused group of leaders in each Tech Center helps ensure we can manage and improve each location, from investing in the growth, success, and well-being of our people to making sure colleagues from each IT division feel a sense of belonging, to managing critical emergencies. Together, we must leverage the strength of our team to collaborate globally to optimize connections and share best practices across the Tech Centers. Role Overview Design, develop, and maintain data pipelines to extract data from various sources and populate a data lake and data warehouse. Work closely with data scientists, analysts, and business teams to understand data requirements and deliver solutions aligned with business goals. Build and maintain platforms that support data ingestion, transformation, and orchestration across various data sources, both internal and external. Use data orchestration, logging, and monitoring tools to build resilient pipelines. Automate data flows and pipeline monitoring to ensure scalability, performance, and resilience of the platform. Monitor, troubleshoot, and resolve issues related to the data integration platform, ensuring uptime and reliability. Maintain thorough documentation for integration processes, configurations, and code to ensure easy onboarding for new team members and future scalability. Develop pipelines to ingest data into cloud data warehouses. Establish, modify and maintain data structures and associated components. Create and deliver standard reports in accordance with stakeholder needs and conforming to agreed standards. Work within a matrix organizational structure, reporting to both the functional manager and the project manager. Participate in project planning, execution, and delivery, ensuring alignment with both functional and project goals. What should you have Bachelors’ degree in Information Technology, Computer Science or any Technology stream. 1 to 3 years of developing data pipelines & data infrastructure, ideally within a drug development or life sciences context. Demonstrated expertise in delivering large-scale information management technology solutions encompassing data integration and self-service analytics enablement. Experienced in software/data engineering practices (including versioning, release management, deployment of datasets, agile & related software tools). Ability to design, build and unit test applications on Spark framework on Python . Build PySpark based applications for both batch and streaming requirements, which will require in-depth knowledge on Databricks/ Hadoop. Experience working with storage frameworks like Delta Lake/ Iceberg Experience working with MPP Datawarehouse’s like Redshift Cloud-native, ideally AWS certified. Strong working knowledge of at least one Reporting/Insight generation technology Good interpersonal and communication skills (verbal and written). Proven record of delivering high-quality results. Product and customer-centric approach. Innovative thinking, experimental mindset. Mandatory Skills Skill Category Skills Foundational Data Concepts SQL (Intermediate / Advanced) Python (Intermediate) Cloud Fundamentals (AWS Focus) AWS Console, IAM roles, regions, concept of cloud computing AWS S3 Data Processing & Transformation Apache Spark (Concepts & Usage) Databricks (Platform Usage), Unity Catalog, Delta Lake ETL & Orchestration AWS Glue (ETL, Catalog), Lambda Apache Airflow (DAGs and Orchestration) or other orchestration tool dbt (Data Build Tool) Matillion (or similar ETL tool) Data Storage & Querying Amazon Redshift / Azure Synapse Trino / Equivalent AWS Athena / Query Federation Data Quality & Governance Data Quality Concepts / Implementation Data Observability Concepts Collibra / equivalent tool Real-time / Streaming Apache Kafka (Concepts & Usage) DevOps & Automation CI / CD concepts, Pipelines (GitHub Actions / Jenkins / Azure DevOps) Our technology teams operate as business partners, proposing ideas and innovative solutions that enable new organizational capabilities. We collaborate internationally to deliver services and solutions that help everyone be more productive and enable innovation. Who we are: We are known as Merck & Co., Inc., Rahway, New Jersey, USA in the United States and Canada and MSD everywhere else. For more than a century, we have been inventing for life, bringing forward medicines and vaccines for many of the world's most challenging diseases. Today, our company continues to be at the forefront of research to deliver innovative health solutions and advance the prevention and treatment of diseases that threaten people and animals around the world. What we look for: Imagine getting up in the morning for a job as important as helping to save and improve lives around the world. Here, you have that opportunity. You can put your empathy, creativity, digital mastery, or scientific genius to work in collaboration with a diverse group of colleagues who pursue and bring hope to countless people who are battling some of the most challenging diseases of our time. Our team is constantly evolving, so if you are among the intellectually curious, join us—and start making your impact today. #HYDIT2025 Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status: Regular Relocation: VISA Sponsorship: Travel Requirements: Flexible Work Arrangements: Hybrid Shift: Valid Driving License: Hazardous Material(s): Required Skills: Business Intelligence (BI), Database Administration, Data Engineering, Data Management, Data Modeling, Data Visualization, Design Applications, Information Management, Software Development, Software Development Life Cycle (SDLC), System Designs Preferred Skills: Job Posting End Date: 08/26/2025 A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID: R353468

Country India Working Schedule Full-Time Work Arrangement Hybrid Relocation Assistance Available No Posted Date 27-Jun-2025 Job ID 9084 Description and Requirements Position Summary Resource is responsible for managing (BMC Defender & Mainview, Cubus, Product Builder and HP PX Calculator) which includes implementation, configuration, maintenance, upgrades, patches and administration, performance tuning, identify repetitive tasks and automate. Job Responsibilities Good experience in applications builds in both windows and Linux infrastructure and able to lead project. Troubleshooting the application issues and identifying bugs and fixing the issue. Good knowledge in performance tunings Good experience in automation Strong collaboration with team members Capable of coaching up new team members Learn new technologies based on demand. Participate in cross-departmental efforts Leads initiatives within the community of practice Good decision-making skills. Take ownership of the deliverables from the entire team. Should be able to generate and present reports to leadership Coach other team members and bring them up to speed. Willing to work in rotational shifts Good Communication skill with the ability to communicate clearly and effectively Knowledge, Skills and Abilities Education Bachelor's degree in computer science, Information Systems, or related field Experience 10+ years of total experience and at least 7+ years of experience in applications build in both windows and Linux infrastructure and able to lead project BMC Mainview BMC Defender Trillium Collibra Linux Administration Network DNS and Domain Setup Web Server Scripting Ansible Azure Pipelines Ansible Python Windows Debugging Collibra Data Governance -Edge (K3s application) BMC CorreLog SIEM Agent/Server for IBM zOS Application Debugging Elastic Azure DevOps Experience in creating change tickets and working on tasks in Service Now Experience of AI and ability to utilize AI and related tools (GitHub copilot) to solve complex problems About MetLife Recognized on Fortune magazine's list of the 2025 "World's Most Admired Companies" and Fortune World’s 25 Best Workplaces™ for 2024, MetLife , through its subsidiaries and affiliates, is one of the world’s leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East. Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by empathy, we’re inspired to transform the next century in financial services. At MetLife, it’s #AllTogetherPossible. Join us!

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager Job Description & Summary At PwC, our people in data management focus on organising and maintaining data to enable accuracy and accessibility for effective decision-making. These individuals handle data governance, quality control, and data integration to support business operations. In data governance at PwC, you will focus on establishing and maintaining policies and procedures to optimise the quality, integrity, and security of data. You will be responsible for optimising data management processes and mitigate risks associated with data usage. *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. " Job Description & Summary: A career within…. A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities: · Develop and implement data governance solutions using Informatica CDGC. · Configure and manage metadata ingestion, lineage, and data cataloging functionalities. · Collaborate with data stewards to define and enforce data governance policies and standards. · Design and implement data quality rules and metrics to monitor and improve data accuracy. · Integrate CDGC with other enterprise systems and data sources for seamless metadata management. · Work with business users to capture and maintain business glossaries and data dictionaries. · Conduct data profiling and analysis to support data governance initiatives. · Provide training and support to users on leveraging CDGC for data governance and cataloging. · Participate in solution design reviews, troubleshooting, and performance tuning. · Stay updated with the latest trends and best practices in data governance and cataloging. Mandatory skill sets: 6+ years of experience in data governance and cataloging, with at least 1 year on the Informatica CDGC platform. · Proficiency in configuring and managing Informatica CDGC components. · Ability to integrate CDGC with various data sources and enterprise system · Experience in debugging issues & applying fixes in Informatica CDGC · In depth understanding of Data Management landscape including technology landscape, standards, and best practices prevalent in data governance, metadata management, cataloging, data lineage, data quality, and data privacy. · Familiarity with data management principles and practices in DMBOK. · Experience in creating frameworks, policies and processes. · Strong experimental mindset to drive innovation amidst uncertainty and solving problems. · Strong experience in process improvements, hands-on operational management, and change management. Preferred skill sets: · Certifications in Data Governance or related fields (e.g., DAMA-CDMP, DCAM, CDMC) or any Data Governance tool certification · Experience in other Data Governance Tool like Collibra, Talend, Microsoft Purview, Atlan, Solidatus etc. · Experience in working on RFPs, internal/external POVs, Accelerators and other Years of experience required: 7-10 Education qualification: B.Tech / M.Tech / MBA / MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Technology, Master of Business Administration Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Informatica Cloud Data Governance & Catalog (CDGC) Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Process Management (BPM), Coaching and Feedback, Communication, Corporate Governance, Creativity, Data Access Control, Database Administration, Data Governance Training, Data Processing, Data Processor, Data Quality, Data Quality Assessment, Data Quality Improvement Plans (DQIP), Data Stewardship, Data Stewardship Best Practices, Data Stewardship Frameworks, Data Warehouse Governance, Data Warehousing Optimization, Embracing Change, Emotional Regulation, Empathy {+ 22 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

We are seeking a Data Quality Analyst with Business Analyst expertise to support data engineering and governance initiatives. This hybrid role involves ensuring data accuracy and integrity through systematic QA processes, while also analyzing and documenting business workflows, data lineage, and functional requirements. The ideal candidate will act as a bridge between technical and business teams, playing a crucial role in validating data pipelines and ensuring process transparency. Key Responsibilities: Quality Assurance for Data Engineering: Validate data pipelines, ETL processes, and data transformations to ensure accuracy and completeness. Design and execute test cases to verify source-to-target data mapping and transformation logic. Identify data anomalies, inconsistencies, and quality issues, and collaborate with data engineers to resolve them. Work with large datasets using SQL and other data analysis tools for validation and troubleshooting. Business Analysis & Documentation: Collaborate with stakeholders to gather, analyze, and document data requirements, business rules, and workflows. reate clear and concise documentation including data flow diagrams, process maps, and requirement specifications. as-is and to-be states of data processes, ensuring alignment with business objectives and compliance requirements. Maintain traceability between business requirements, technical specifications, and QA validation. Workflow and Process Management: end-to-end understanding of data processes and usage across systems. to data governance efforts by defining data quality KPIs, validation rules, and reporting metrics. Participate in UAT and data reviews, ensuring business needs are met with high data quality. Required Skills and Qualifications: 5 8 years of experience in QA andor Business Analysis, ideally supporting data engineering or analytics teams. understanding of ETL/ELT workflows, data warehousing, and data lifecycle management. Proficiency in SQL for data validation and analysis. Experience working with tools such as JIRA, Confluence, Airflow (preferred), or similar workflow/documentation tools. Excellent skills in writing test plans, test cases, and business/technical documentation. Ability to interpret and document complex business processes and data flows. Strong communication and stakeholder management skills across technical and non-technical teams. Preferred Skills: Familiarity with cloud platforms such as AWS, Snowflake, Redshift, or BigQuery. Exposure to data catalog, lineage, or governance tools (e.g., Collibra, Alation) is a plus. Understanding of data privacy and compliance (e.g., GDPR, HIPAA) is a bonus.Edcation Bachelordegree in Computer Science, Information Systems, Business Analytics, or related field. Additional Information: This is an offshore (India-based) remote role with opportunities to work with global data and analytics teams. Ideal for QA professionals who have transitioned into or supported business analysis, especially in data-focused projects. About Virtusa Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us. Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence. Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

Job Title: Lead Engineer - Data & AI Career Level: E Introduction To Role Are you ready to redefine an industry and change lives? AstraZeneca is seeking a seasoned AI and Data Engineering manager to join our Data Analytics and AI (DA&AI) organization. In this pivotal role, you'll be instrumental in shaping and delivering next-generation data platforms, data mesh, and AI capabilities that drive our digital transformation. Your expertise will be crucial in building data infrastructure that supports enterprise-scale data platforms and AI Analytics deployment, fueling intelligent operations across the business. Accountabilities Technical & AI Leadership Lead and mentor a multi-functional team of data and AI engineers to deliver scalable, AI-ready data products and pipelines. Define and enforce standard processes for Data engineering, data pipeline orchestration, and ELT/ETL development lifecycle management. Guide the development of solutions that integrate data engineering with machine learning, foundational models, and semantic enrichment. AI-Driven Data Engineering Architect and develop data pipelines using tools such as DBT, Apache Airflow, and Snowflake, optimized to support both analytics and AI/ML workloads. Design infrastructures that facilitate automated feature engineering, metadata tracking, and real-time model inference. Enable large-scale data ingestion, preparation, and transformation to support AI use cases such as forecasting, natural language querying/processing (NLQ/P), and intelligent automation. Governance and Metadata Management Have an approach to adhere to data governance and compliance practices that ensure trust, transparency, and explainability in AI outputs. Manage and scale enterprise metadata frameworks using tools like Collibra, aligning with FAIR data principles and AI ethics guidelines. Establish traceability across data lineage, model lineage, and business outcomes. Stakeholder Engagement Act as a trusted technical advisor to business leaders across enabling functions (e.g., Finance, M&A, GBS), helping translate strategic goals into AI-driven data solutions. Lead delivery across multiple workstreams, ensuring measurable KPIs and adoption of both data and AI capabilities. Essential Skills/Experience 12+ years of hands-on experience in data engineering and AI-enabling infrastructure, with expertise in: DBT, Apache Airflow, Snowflake, PostgreSQL, Amazon Redshift 2+ years working with or supporting AI/ML teams in building production-ready pipelines and infrastructure. Strong communication skills with a demonstrated ability to influence both technical and non-technical collaborators. Experience in implementing data products by applying data mesh principles. Experience working across enabling business units such as Finance, HR, and M&A. Academic Qualifications Bachelor’s or Master’s degree in computer science, Information Technology, or related field with relevant industrial experiences. Desirable Skills/Experience Proficiency in Python, especially in libraries like Pandas, NumPy, and Scikit-learn for data and ML workflows. Exposure to ML lifecycle tools such as SageMaker, MLflow, Azure ML, or Databricks. Exposure to foundational AI models (e.g., LLMs), vector databases, and retrieval-augmented generation (RAG) methodologies. Knowledge of data cataloguing tools such as Collibra, semantic data models, ontologies, and business glossary tools. When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. At AstraZeneca, your work has a direct impact on patients by transforming our ability to develop life-changing medicines. We empower the business to perform at its peak by combining innovative science with leading digital technology platforms. With a passion for impacting lives through data, analytics, AI, machine learning, and more, we are at a crucial stage of our journey to become a digital and data-led enterprise. Here you can innovate, take ownership, experiment with groundbreaking technology, and tackle challenges that have never been addressed before. Our dynamic environment offers countless opportunities to learn and grow while contributing to something far bigger. Ready to make a meaningful impact? Apply now to join our team! Date Posted 27-Jun-2025 Closing Date 03-Jul-2025 AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

Job Description Template Job Title - Decision Science Practitioner Analyst S&C GN Management Level : Senior Analyst Location: Bangalore/ Kolkata Must have skills: Collibra Data Quality - data profiling, anomaly detection, reconciliation, data validation, Python, SQL Good to have skills: PySpark, Kubernetes, Docker, Git Job Summary: We are seeking a highly skilled and motivated Data Science cum Data Engineer Senior Analyst to lead innovative projects and drive impactful solutions in domains such as Consumer Tech , Enterprise Tech , and Semiconductors . This role combines hands-on technical expertise , and client delivery management to execute cutting-edge projects in data science & data engineering Key Responsibilities Data Science and Engineering Implement and manage end to end Data Quality frameworks using Collibra Data Quality (CDQ). This includes – requirement gathering from the client, code development on SQL, Unit testing, Client demos, User acceptance testing, documentation etc. Work extensively with business users, data analysts, and other stakeholders to understand data quality requirements and business use cases. Develop data validation, profiling, anomaly detection, and reconciliation processes. Write SQL queries for simple to complex data quality checks. Python, and PySpark scripts to support data transformation and data ingestion. Deploy and manage solutions on Kubernetes workloads for scalable execution. Maintain comprehensive technical documentation of Data Quality processes and implemented solutions. Work in an Agile environment, leveraging Jira for sprint planning and task management. Troubleshoot data quality issues and collaborate with engineering teams for resolution. Provide insights for continuous improvement in data governance and quality processes. Build and manage robust data pipelines using Pyspark and Python to read and write from databases such as Vertica and PostgreSQL. Optimize and maintain existing pipelines for performance and reliability. Build custom solutions using Python, including FastAPI applications and plugins for Collibra Data Quality. Oversee the infrastructure of the Collibra application in Kubernetes environment, perform upgrades when required, and troubleshoot and resolve any Kubernetes issues that may affect the application's operation. Deploy and manage solutions, optimize resources for deployments in Kubernetes, including writing YAML files and managing configurations Build and deploy Docker images for various use cases, ensuring efficient and reusable solutions. Collaboration and Training Communicate effectively with stakeholders to align technical implementations with business objectives. Provide training and guidance to stakeholders on Collibra Data Quality usage and help them build and implement data quality rules. Version Control and Documentation Use Git for version control to manage code and collaborate effectively. Document all implementations, including data quality workflows, data pipelines, and deployment processes, ensuring easy reference and knowledge sharing. Database and Data Model Optimization Design and optimize data models for efficient storage and retrieval. Required Qualifications Experience: 4+ years in data science Education: B tech, M tech in Computer Science, Statistics, Applied Mathematics, or related field Industry Knowledge: Preferred experience in Consumer Tech, Enterprise Tech, or Semiconductors but not mandatory Technical Skills Programming: Proficiency in Python, SQL for data analysis and transformation. Tools : Hands-on experience with Collibra Data Quality (CDQ) or similar Data Quality tools (e.g., Informatica DQ, Talend, Great Expectations, Ataccama, etc.). Experience working with Kubernetes workloads. Experience with Agile methodologies and task tracking using Jira. Preferred Skills Strong analytical and problem-solving skills with a results-oriented mindset. Good communication, stakeholder management & requirement gathering capabilities. Additional Information: The ideal candidate will possess a strong educational background in quantitative discipline and experience in working with Hi-Tech clients This position is based at our Bengaluru (preferred) and Kolkata office. About Our Company | Accenture Experience: 4+ years in data science Educational Qualification: B tech, M tech in Computer Science, Statistics, Applied Mathematics, or related field

About this role: Wells Fargo is seeking a Data Management Manager In this role, you will: Make decisions and resolve issues regarding operational execution for data governance, data quality or metadata Recommend strategies to prioritize and remediate data quality issues that align with business needs or regulatory compliance initiatives Identify and recommend opportunities for the development of audits and controls structured around business processes and data quality target state and metadata standards Manage and develop team of individual contributor roles with low to moderate complexity focused on defining data quality requirements and delivering on data integrity initiatives Manage operational execution of activities related to all stages of the remediation lifecycle Direct team in developing solutions, tools and processes used to maintain a common companywide data quality, control standards and data sourcing Collaborate with and consult with peers, colleagues, and multiple level managers to ensure consistent approach and direction on companywide remediation efforts Serve as single point of contact for escalations on low to moderate complexity issues Manage allocation of people and financial resources Mentor and guide talent development of direct reports and assist in hiring talent Required Qualifications: 4+ years of Data Management, Business Research, Analytics, or Project Management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education 2+ years of Leadership experience Desired Qualifications: Masters degree in finance, statistics, engineering Experience into Data Management, Business Analysis, Analytics, Project Management Experience, or equivalent demonstrated through one or a combination of the following: Work experience, training, military experience, education Experience in SQL, MS Access, Ab Initio Express IT, Informatica, Metadata Hub, Collibra, Power BI and Alteryx Experience in Data related platforms/tools and Data Management, FDLZ, MOSART preferred Experience with Metadata/Data dictionaries management including technical/business content and data lineage Experience with Data Quality principals or monitoring Experience in Data mapping and data profiling Solid experience with MS Excel Job Expectations: The role requires a developed understanding of enterprise finance applications, complex data management and understanding the system architecture, viz. FDLZ, MOSART, Hyperion, OLAP Should have expert level knowledge on Enterprise Metadata Hub, Collibra, Power BI and Alteryx Hands on experience on Data mapping, Lineage, Data Dictionaries and Data management concepts. Manage and supervise day-to-day operations of a team. Recommend operational improvements. Plan, direct, supervise and evaluate workflow, assignments and distribution Lead stakeholder development by maintaining ongoing interaction that increases their awareness, understanding, accountability, and engagement in the reporting process. Lead implementation of complex projects and initiatives impacting one or more lines of Business Ensure compliance and risk management requirements for supported area are met and works with other stakeholders to implement key risk initiatives. Redefine and make technical/strategic changes to enhance existing Business Intelligence systems. Collaborate and influence all levels of professionals including more experienced team members Lead team to achieve objectives and monitor performance of individuals according to established standards, and conduct performance evaluations. Train and coach individuals. Manage allocation of people and financial resources for Data Management Mentor and guide talent development of direct reports and assist in hiring talent.

ABOUT TIDE At Tide, we are building a business management platform designed to save small businesses time and money. We provide our members with business accounts and related banking services, but also a comprehensive set of connected administrative solutions from invoicing to accounting. Launched in 2017, Tide is now used by over 1 million small businesses across the world and is available to UK, Indian and German SMEs. Headquartered in central London, with offices in Sofia, Hyderabad, Delhi, Berlin and Belgrade, Tide employs over 2,000 employees. Tide is rapidly growing, expanding into new products and markets and always looking for passionate and driven people. Join us in our mission to empower small businesses and help them save time and money. ABOUT THE ROLE: Working closely with business (Product, Marketing, Legal/Privacy, Risk & Compliance) and technology (Data Engineering, Analytics Engineering, Software Developers) teams across the whole organisation to understand challenges and opportunities related to data Building awareness and manage communication to help Tide to sparkle as a data driven organisation Leading implementation of Data Governance Policy and Framework Defining data governance implementation roadmap (with a specific focus on critical data management, data quality and security) aligned to Tide’s OKRs and strategic initiatives e.g. expansion to other countries, new products, data mesh Facilitation of working groups, workshops and trainings aimed at delivery of various initiatives and educating Tideans about data governance best practices Capturing and facilitating resolution of data quality issues Defining data quality rules to allow automated measurement and reporting Contributing into creation of policies, standards and procedures Implementing Atlan as a strategic metadata tool (data glossary, data catalogue, lineage, classification). Working with the vendor to define and implement new features and resolve issues. Cooperating with Data Stewards to define data glossary, data classification and integrate data sources in order to enable value streams. This is to help data consumers to be more efficient in identifying and using data for their use cases. Acting as the de facto “product owner” for technical tools and product features that facilitate compliance with data regulations such as GDPR overseeing their implementation and maintenance. WHAT WE ARE LOOKING FOR: You are self starter able to work with minimal supervision and translate high level objectives into actionable tasks You are very good communicator and easily build rapport with senior stakeholders as well as data engineers You have passion to work with other people to define new and improve existing standards and processes You have to understand data governance concepts, know how to apply them to address firm’s challenges and have experience in practical implementation You are familiar with Data Catalogues and Data Quality/Observability tools, for example: Acceldata, Alation, Atlan, Elementary, Collibra, Informatica, Monte Carlo, Sifflet, Solidatus or similar You have previous experience in the financial services industry. You have a collaborative style and agile mindset You have familiarity with the technical implementation of data privacy laws, compliance, and risk management frameworks. You know basics of SQL to query databases (SELECT, JOIN, GROUP BY) and have experience in building visualisations using BI Tools such as Looker, Power BI, Tableau or similar WHAT YOU'LL GET IN RETURN: Self & Family Health Insurance Term & Life Insurance OPD Benefits Mental wellbeing through Plumm Learning & Development Budget WFH Setup allowance 15 days of Privilege leaves 12 days of Casual leaves 12 days of Sick leaves 3 paid days off for volunteering or L&D activities Stock Options TIDEAN WAYS OF WORKING At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community. TIDE IS A PLACE FOR EVERYONE At Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or differently-abled status. We celebrate diversity in our workforce as a cornerstone of our success. Our commitment to a broad spectrum of ideas and backgrounds is what enables us to build products that resonate with our members’ diverse needs and lives. We are One Team and foster a transparent and inclusive environment, where everyone’s voice is heard. At Tide, we thrive on diversity, embracing various backgrounds and experiences. We welcome all individuals regardless of ethnicity, religion, sexual orientation, gender identity, or disability. Our inclusive culture is key to our success, helping us build products that meet our members' diverse needs. We are One Team, committed to transparency and ensuring everyone’s voice is heard.

Entity: Finance Job Family Group: IT&S Group Job Description: As a leading global energy company, we provide heat, light and mobility to customers worldwide. Across the bp landscape, we’re home to a range of brands across many areas of our industry. We’re investing in today’s energy system and helping build out tomorrow’s. So while we’re still in oil and gas, over the next decade we’ll become a different kind of energy company. We’re decarbonizing and diversifying our business, fundamentally transforming what we do so we can reach net zero by 2050 or sooner. We also have a strong mission to help the whole world reach net zero too – working across our industry to improve people’s lives. It's an exciting time to join bp. Meeting the energy challenge requires many different approaches and solutions. And as part of finance business & technology (FBT), you’ll be fully connected into the world of bp. You’ll play an increasingly important part within a network of like-minded colleagues partnering on strategic projects that stretch across the globe. And it starts with you. There’s a world of opportunities to build new skills, challenge yourself and grow a long-term career at FBT India. And no matter where you work, your role will have meaning, purpose and impact. So if you want to be part of a caring, supportive environment where you can realize your full potential, we’re with you. Join our Finance Data Office team and advance your career as a/an Data Governance Manager About the Role: The role of Data Governance Manager is a first level leadership position within the Finance Data Office’s Data Management team. This is a pivotal role for setting up and driving the framework, Data related principles and policies to build a culture of data accountability across all finance data domains. The role is responsible for leading and driving the agenda including data definition, data ownership, standards, remediation and master data governance processes across Finance. The Manager is encouraged to partner with the wider data management team in improvement of data quality by implementing data monitoring solutions. The ideal candidate will have a consistent track record in working with data governance platforms such as Alation or Collibra for SAP master data domains. This position will take accountability for defining and driving data governance aspects, including leading meetings and governance forums with Data Stewards, Data Owners, Data Engineers, and other key partners. Roles & Responsibilities: Coordinating with Data Owners to enable identification of Critical data elements for SAP master Data – Supplier/Finance/Bank master. Develop and maintain a business-facing data glossary and data catalog for SAP master data (Supplier, Customer, Finance (GL, Cost Center, Profit Center etc), collecting data definitions, lineage, and usage. Define Data governance framework: Develop and implement governance policies, standards, and processes to ensure data quality, data management, and compliance for relevant SAP Master Data (Finance, Supplier and Customer Master Data) Conduct data quality assessments and implement corrective actions to address data quality issues. Collaborate with multi-functional teams to ensure data governance practices are coordinated into all SAP relevant business processes. Data Cataloging and Lineage: Provide clarity into data assets, their origins, and transformations in SAP environment Facilitate governance forums, data domain councils, and change advisory boards to review data issues, standards, and continuous improvements. Responsible to prepare data documentation, including data models, process flows, governance policies, and stewardship responsibilities. Collaboration: Work closely with IT, data management teams, and business units to implement data governance standard processes and tools. Monitoring and Reporting: Monitor data governance activities, measure progress, and report on important metrics to senior management. Training and Awareness: Conduct training sessions and build awareness programs to promote data governance within the organization. Data structures and models: Demonstrate deep understanding of SAP (and other ERP system such as JD Edwards etc.) master data structures such as Vendor, Customer, Cost & Profit Center, GL Accounts etc. Data Policies: Collaborate and coordinate with respective pillar lead’s to ensure vital policies related to data privacy, data lifecycle management and data quality management are being developed Experience & Qualifications : 12+ years of experience predominantly in data related disciplines such as Data Governance, SAP master Data and data quality in oil and gas or financial services domain Experience of implementing data governance in SAP environment both transactional and master data Expert knowledge of data governance concepts around data definition and catalog, data ownership, data lineage, data policies and controls, data monitoring and data governance forums Deep knowledge of SAP ERP and associated data structures Experience of driving large, multi-year ground-breaking change across multiple geographies across multiple data domains Leadership qualities to steer the team and drive forum meetings Ability to influence senior partners and secure sponsorship/consensus for data transformation agenda Soft skills: Active listening, communication and teamwork, presentation, Problem solving, , Team management, Partner management Other: Project management. Domain knowledge [Procurement, Finance, Customer], Eye For Business, Critical thinking, Story telling Stay updated with industry trends, standard methodologies and new technologies in data management, data analytics space We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform crucial job functions, and receive other benefits and privileges of employment. Travel Requirement Negligible travel should be expected with this role Relocation Assistance: This role is eligible for relocation within country Remote Type: This position is a hybrid of office/remote working Skills: Legal Disclaimer: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

Summary #LI-Onsite Data Steward has accountability for day-to-day management of data. They are the Subject Matter Experts who understand and communicate the meaning and use of information. They are responsible for working with the Data & Business Owners to implement data quality standards & process. About the Role Key Responsibilities: Execute data stewardship tasks, using common methods & tools. Collaborate with business in defining business rules for the data and documenting metadata for various data elements Collaborate with Data Governance team providing input for Data Standards and Process as per insights gained from the data Develop good understanding of Finance business processes, end-to-end business and data functionality Work closely with the Data Owners, Data Governance and Data Quality, Global Process Owner (GPO) to ensure execution of data stewardship tasks as per aligned stewardship process and standards Liaise with the Functional Data Owners, Business Owner, Data Maintainers, to discuss and resolve Data Quality issues. Continuously monitor the progress of Data Quality KPIs and ensure adherence Ensure continuous and effective communication with relevant team members, stakeholders and colleagues in relation to stewardship activities. Review and approve data exceptions for the data created by Data Owner/Maintenance team Collaborate effectively with data community, to facilitate shared learning between Business Users and Stewards and to promote active Data Quality Governance through the Finance Master Data Team. Adherence to the Novartis Values & Behaviors Ensure exemplary communication with all stakeholders including internal associates through regular updates with focus on accomplishments, KPIs, best practices, change management, key events etc. Implement continuous process improvement projects to improve data quality & productivity. Implementation of Data Quality Strategy & framework .Ensure to maintain the Quality of Master Data throughout the business process Provide guidance and set standards of functional excellence in methodologies, processes and SOPs to enable enhancement of Global & Local data operations Essential Requirements: Bachelor/MBA/Master’s degree from reputed University in Finance, Pharma, Computers or IT or equivalent 7-10 years of experience working as a data steward for key business functions such as Finance, Pharmaceutical, Healthcare Hands-on experience in working in Data Quality, Data Governance, Master data and data management domain Hands-on experience in Collibra, Informatica Data Quality, Informatica Analyst, Ataccama, Alation or any such tools. Familiar with process set-up, Data Quality KPIs and operational issues / management Exposure to tools like Power BI, Service Now, Jira, Confluence, Excel, PowerPoint, and SharePoint for analysis & documentation. Strong understanding of data models, data lifecycle, and enterprise systems (e.g., SAP ECC/S4 Hana, SAP EDW). Proficiency in Data Stewardship process, Data Quality monitoring and issue remediation Excellent analytical, communication, Presentation, and stakeholder management skills Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards Division Finance Business Unit Corporate Location India Site Hyderabad (Office) Company / Legal Entity IN10 (FCRS = IN010) Novartis Healthcare Private Limited Functional Area Audit & Finance Job Type Full time Employment Type Regular Shift Work No Accessibility and accommodation Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to [email protected] and let us know the nature of your request and your contact information. Please include the job requisition number in your message. Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.

We are seeking a Data Quality Analyst with Business Analyst expertise to support data engineering and governance initiatives. This hybrid role involves ensuring data accuracy and integrity through systematic QA processes, while also analyzing and documenting business workflows, data lineage, and functional requirements. The ideal candidate will act as a bridge between technical and business teams, playing a crucial role in validating data pipelines and ensuring process transparency. Key Responsibilities Quality Assurance for Data Engineering: Validate data pipelines, ETL processes, and data transformations to ensure accuracy and completeness. Design and execute test cases to verify source-to-target data mapping and transformation logic. Identify data anomalies, inconsistencies, and quality issues, and collaborate with data engineers to resolve them. Work with large datasets using SQL and other data analysis tools for validation and troubleshooting. Business Analysis & Documentation Collaborate with stakeholders to gather, analyze, and document data requirements, business rules, and workflows. reate clear and concise documentation including data flow diagrams, process maps, and requirement specifications. as-is and to-be states of data processes, ensuring alignment with business objectives and compliance requirements. Maintain traceability between business requirements, technical specifications, and QA validation. Workflow And Process Management end-to-end understanding of data processes and usage across systems. to data governance efforts by defining data quality KPIs, validation rules, and reporting metrics. Participate in UAT and data reviews, ensuring business needs are met with high data quality. Required Skills And Qualifications 5 8 years of experience in QA andor Business Analysis, ideally supporting data engineering or analytics teams. understanding of ETL/ELT workflows, data warehousing, and data lifecycle management. Proficiency in SQL for data validation and analysis. Experience working with tools such as JIRA, Confluence, Airflow (preferred), or similar workflow/documentation tools. Excellent skills in writing test plans, test cases, and business/technical documentation. Ability to interpret and document complex business processes and data flows. Strong communication and stakeholder management skills across technical and non-technical teams. Preferred Skills Familiarity with cloud platforms such as AWS, Snowflake, Redshift, or BigQuery. Exposure to data catalog, lineage, or governance tools (e.g., Collibra, Alation) is a plus. Understanding of data privacy and compliance (e.g., GDPR, HIPAA) is a bonus.Edcation Bachelordegree in Computer Science, Information Systems, Business Analytics, or related field. Additional Information This is an offshore (India-based) remote role with opportunities to work with global data and analytics teams. Ideal for QA professionals who have transitioned into or supported business analysis, especially in data-focused projects.

Job Title: Data Governance Specialist - Collibra - 5+ Years - Bangalore (Hybrid) Are you an experienced Data Governance Specialist with Collibra expertise? We are looking for a talented individual to join our team in Bangalore. In this role, youll be responsible for implementing data governance methodologies, managing metadata, and ensuring data quality across GBS systems. If you have a passion for data governance and are looking to work in a global organization, this is the opportunity for you. Location: Bangalore, India (Hybrid) Shift: 3:00 PM - 12:00 AM IST Cab: Available Notice Period: 30 days to 40 days Your Future Employer: Be part of a dynamic global organization where innovation meets excellence. Youll be joining a team that thrives on collaboration, creativity, and forward-thinking solutions. With a strong focus on quality and continuous improvement, this is your chance to contribute to transformative projects that make a real-world impact. Embrace an exciting career journey where your skills will not only grow but help shape the future of the industry, all while working with talented professionals from across the globe Responsibilities: Implementing data governance methodology, prioritizing data elements and defining business definitions. Loading metadata into Collibra and maintaining the data catalog. Defining and implementing data governance policies, standards, and processes. Mentoring team members and stakeholders on Collibra best practices. Performing data profiling to identify quality issues and conducting root cause analysis. Documenting technical attributes, business descriptions, and data lineage. Collaborating with cross-functional teams to ensure data governance practices are followed. Requirements: Bachelor's degree 3+ years of experience working with Collibra Proficiency in SQL and data analysis tools Strong understanding of data governance, data privacy, and security principles Experience with metadata management and foundational source systems Agile delivery experience (user stories, sprint planning, UAT) Excellent communication and collaboration skills Ability to stay updated on industry trends and technologies What's in it for you: Competitive compensation package Work in an innovative, quality-driven, and collaborative environment Opportunities for career growth and skill development Be part of a global organization with a strong presence in multiple countries