866 Collibra Jobs - Page 14

Job Title: Senior Data Architect Year of Experience: 5 - 10 Years Job Description: The Senior Data Architect will design, govern, and optimize the entire data ecosystem for advanced analytics and AI workloads. This role ensures data is collected, stored, processed, and made accessible in a secure, performant, and scalable manner. The candidate will drive architecture design for structured/unstructured data, build data governance frameworks, and support the evolution of modern data platforms across cloud environments. Key responsibilities: · Architect enterprise data platforms using Azure/AWS/GCP and modern data lake/data mesh patterns · Design logical and physical data models, semantic layers, and metadata frameworks · Establish data quality, lineage, governance, and security policies · Guide the development of ETL/ELT pipelines using modern tools and streaming frameworks · Integrate AI and analytics solutions with operational data platforms · Enable self-service BI and ML pipelines through Databricks, Synapse, or Snowflake · Lead architecture reviews, design sessions, and CoE reference architecture development Technical Skills · Cloud Platforms: Azure Synapse, Databricks, Azure Data Lake, AWS Redshift · Data Modeling: ERWin, dbt, Power Designer · Storage & Processing: Delta Lake, Cosmos DB, PostgreSQL, Hadoop, Spark · Integration: Azure Data Factory, Kafka, Event Grid, SSIS · Metadata/Lineage: Purview, Collibra, Informatica · BI Platforms: Power BI, Tableau, Looker · Security & Compliance: RBAC, encryption at rest/in transit, NIST/FISMA Qualification · Bachelor’s or Master’s in Computer Science, Information Systems, or Data Engineering · Microsoft Certified: Azure Data Engineer / Azure Solutions Architect · Strong experience building cloud-native data architectures · Demonstrated ability to create data blueprints aligned with business strategy and compliance.

Job Description Senior Manager, 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. Responsibilities 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. SAP Basis experience working on SAP S/4HANA deployments on Cloud platforms (example AWS, GCP or Azure). 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. #HYDIT 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, 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, ETL Tools, Information Management, Management Process, Operating Cost Reduction, Senior Program Management, Social Collaboration, Software Development, Software Development Life Cycle (SDLC) {+ 1 more} Preferred Skills Job Posting End Date 08/13/2025 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 R350686

You should have experience working with BigID or Collibra, along with knowledge of data classification and data products. It is important to have an understanding of data loss and personal information security. Exposure to platforms such as Snowflake, S3, Redshift, SharePoint, and Box is required. You should also have knowledge of connecting to various source systems. A deep understanding and practical knowledge of IDEs like Eclipse, PyCharm, or any Workflow Designer is essential. Experience with one or more of the following languages - Java, JavaScript, Groovy, Python is preferred. Hands-on experience with CI/CD processes and tooling such as GitHub is necessary. Working experience in DevOps teams based on Kubernetes tools is also expected. Proficiency in database concepts and a basic understanding of data classification, lineage, and storage would be advantageous. Excellent written and spoken English, interpersonal skills, and a collaborative approach to delivery are essential. Desirable Skills And Experience: - A total of 8 to 12 years of overall IT experience - Technical Degree to support your experience - Deep technical expertise - Demonstrated understanding of the required technology and problem-solving skills - Analytical, focused, and capable of working independently with minimal supervision - Good collaborator management and team player - Exposure to platforms like Talend Data Catalog, BigID, or Snowflake is beneficial - Basic knowledge of AWS is a plus - Knowledge and experience with integration technologies such as Mulesoft and SnapLogic - Proficiency in Jira, including the ability to quickly generate JQL queries and save them for reference - Proficient in creating documentation in Confluence - Experience with Agile practices, preferably having been part of an Agile team for several years,

Position Overview Job Title: Data Governance Technology Lead, VP Location: Pune, India Corporate Title: Vice President Role Description As one of the world’s leading asset management firms, data is at the heart of our operations. We’re looking for a Data Governance Technology Lead to spearhead the adoption and operation of modern data governance tooling across the entire organization. The role is part of DWS’s Data Platform Engineering organization. Data Platform Engineering builds and operates our critical enterprise data ecosystem to ensure high-quality, secure and compliant data flows across the organization. This is a highly technical leadership position that combines strategy, hands-on engineering, and team management. You will closely collaborate with the Head of Data Platforms as well as Data Architecture, and the Chief Data Office What We’ll Offer You As part of our flexible scheme, here are just some of the benefits that you’ll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your Key Responsibilities Support the continuous refinement of DWS’s data governance vision and help defining the technical roadmap and backlog to bring this vision to reality Lead the engineering team responsible for designing, developing and operating DWS’s data governance and data observability stack Support your team in meeting delivery timelines and adhering to quality standards Drive the end-to-end implementation of Collibra, including workflow automation, metadata management, lineage capture and more Work closely with the data stewards, data owners, architecture, and CDO teams to ensure a consistent approach to data governance and quality management Help defining and monitoring KPIs to ensure enterprise-wide adoption of DG tooling and core data standards Your Skills And Experience 7+ years of experience with data governance tooling and related concepts such as meta-data management, data lineage, and DQ monitoring Strong software engineering background, with experience in Python, Java, or similar programming languages Deep understanding of SDLC concepts, automation and efficient tech delivery Good understanding of fundamental data architecture concepts Hands-on experience with the Collibra Suite (certifications would be a plus) Proficiency with modern data platforms such as Snowflake or GCP BigQuery Strong leadership experience, including managing technical teams and cross-functional projects How We’ll Support You Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About Us And Our Teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

As an expert in AI, Data Governance, and Metadata Management, you will play a key role in architecting, implementing, and maintaining enterprise data governance processes. Your responsibilities will include designing and implementing data quality management, metadata standardization, and stewardship processes across various data domains. You will be tasked with creating and enforcing data governance rules, setting up operational models, and managing stakeholder alignment across IT, legal, compliance, and business teams. Additionally, you will be responsible for supporting compliance with regulations such as GDPR, HIPAA, CCPA, and Indian regulations under the Digital Personal Data Protection Act. You will lead the technical team in delivering roadmap milestones, monitoring Data Governance Key Performance Indicators (KPIs), and guiding the adoption of governance tools and processes. To excel in this role, you should have 7-15 years of experience in Data Governance, Data Quality, or Metadata Management roles. Hands-on experience with key Data Governance platforms such as Collibra, Informatica, and Alation is essential. Strong technical skills in scripting (Python, SQL), metadata/configure pipelines, automation, data engineering, and ETL/ELT flows are required. Experience in establishing and monitoring data quality metrics, conducting data profiling, audits, and root-cause analysis is crucial. Moreover, familiarity with cloud environments and integration practices (AWS, Snowflake, databases), understanding of SDLC, Agile methods, Jira/Confluence, DevOps, and data platform operations are necessary. Exceptional stakeholder management, communication, and leadership abilities are vital for coordinating cross-functional teams. Educating stakeholders through workshops, training, and governance councils, as well as managing governance awareness campaigns, will be part of your responsibilities. Joining Narwal offers you the opportunity to shape the future of a rapidly growing company. You will enjoy a competitive salary and benefits package, a supportive and inclusive company culture, and a collaborative and innovative work environment. Access to professional development and growth opportunities is provided, and Narwal is certified as a Great Place to Work. Narwal is an equal opportunity employer that celebrates diversity and is dedicated to creating an inclusive environment for all employees. To learn more, please visit: [Narwal Website](https://www.narwalinc.com/).,

Wipro Limited is a leading technology services and consulting company that focuses on developing innovative solutions to meet clients" complex digital transformation needs. With a holistic portfolio of capabilities in consulting, design, engineering, and operations, Wipro helps clients achieve their ambitious goals and establish sustainable businesses. With a global presence spanning 65 countries and over 230,000 employees and business partners, Wipro is committed to supporting customers, colleagues, and communities in an ever-evolving world. Role Purpose The primary objective of this role is to provide solutions that bridge the gap between technology and business expertise in order to deliver client solutions effectively. Responsibilities - Act as a liaison between project and support teams by leveraging techno-functional expertise. - Lead end-to-end processes for new business implementation projects, including business requirement management, integration, configuration, and production deployment. - Assess the feasibility of new change requirements and offer optimal solutions to clients within specified timelines. - Provide techno-functional support for new business implementations, including building entire systems from scratch. - Collaborate with solutioning teams on architectural design, coding, testing, and implementation processes. - Understand and implement both functional and technical designs and architectures on ERP systems. - Customize, extend, modify, localize, or integrate existing products through coding, testing, and production. - Translate business processes, requirements, and underlying ERP technologies into ERP solutions. - Develop code according to established standards and select appropriate implementation methodologies. - Provide product support and maintenance for specific ERP solutions, resolving client queries and technical issues. - Develop and deploy automation tools and solutions to optimize processes and enhance efficiency. - Act as a bridge between technical and functional project requirements, offering solutioning and advice to clients or internal teams. - Support on-site managers by providing necessary details regarding changes and offering off-site support. Skill Development and Competency Building - Clear Wipro exams and obtain internal certifications to enhance skills regularly. - Attend training sessions and seminars to enhance knowledge in functional and technical domains. - Author papers, articles, case studies, and publish them on the company's intranet platform. Performance Metrics 1. Contribution to Customer Projects: Quality, SLA adherence, ETA compliance, number of tickets resolved, problems solved, change requests implemented, zero customer escalations, and CSAT scores. 2. Automation: Process optimization, reduction in steps, and decrease in the number of tickets raised. 3. Skill Upgradation: Number of completed trainings and certifications, and quantity of papers and articles written quarterly. Mandatory Skills: Collibra Experience: 5-8 Years Join Wipro to be a part of a modern, end-to-end digital transformation partner with ambitious goals. Embrace reinvention and continuous evolution of your skills and career in an empowering environment. At Wipro, we are committed to building a business fueled by purpose, welcoming applications from individuals with disabilities.,

The role of Digital Finance Manager in India requires you to act as the liaison between the Finance and IT departments. Your primary responsibility will involve utilizing tools like SAP, Power BI, Alteryx, and RPA platforms to identify and execute finance automation projects that are in line with the business requirements. Your key responsibilities will include driving the Digital Finance India Agenda by implementing best practices, evaluating digital technologies, engaging with finance and business stakeholders, streamlining financial processes through automation, and ensuring that finance operations are future-ready with minimal manual intervention. As the Digital Finance Manager, you will play a crucial role in bridging Finance sub-functions with IT services, identifying opportunities for process improvement, and overseeing the successful delivery of Finance IBS projects within the specified timelines and budgets. You will focus on identifying automation opportunities across finance processes, leading end-to-end project delivery, and driving process redesign and software configuration aligned with security and compliance standards. It is important to note that this role requires a strong finance acumen in addition to IT skills. You should have the ability to understand financial reporting, controls, compliance, and analysis needs while integrating digital solutions effectively. Key responsibilities also include developing and implementing digital strategies for Finance India, evaluating and implementing finance automation opportunities, delivering data transformation and visualization solutions, managing digital finance projects, evaluating current finance processes for automation, and training finance teams on emerging tools and technologies. To qualify for this role, you should have a CA or MBA from a reputed university with 8-10 years of progressive experience in finance transformation, analysis, reporting, and forecasting. Demonstrated expertise in digital tools such as SAP, Power BI, RPA, and hands-on experience in data engineering and analytics tools like Alteryx is required. Exposure to finance transformation or consulting, particularly in the FMCG industry, will be an added advantage. If you are looking for a challenging yet rewarding opportunity to drive digital finance initiatives in a leading FMCG company, this role offers a platform to showcase your skills and contribute to the growth and success of the organization.,

The Data Quality Sr. Analyst helps to ensure data sourced and provisioned by different areas, meets all required Data Quality standards. In this role, moderately complex and variable issues are evaluated with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. The Data Quality Sr. Analyst assesses, evaluates, and analyzes data challenges and provide recommendations on their resolution. They collaborate with an array of teams and groups, developing subject matter expertise and knowledge of industry practices and standards. Responsibilities: Partners with Enterprise Chief Data Office to contribute to the development of procedure guidelines and standards addressing Data Certification and Data Quality management Develop methods to identify data patterns and trends in available data sources, perform data quality analytics and identify data challenges Contribute to Data Quality resolution strategies and practices Assist in data improvement initiatives in compliance with Citi Data Governance Policy Assists in the remediation of Audit and Regulatory feedback on issues and concerns Report Data Quality issues through Citi’s corresponding Data/Issue management process, and/or Coordinate efforts for Data consumption demand and Data requirement from strategic data repositories Liaise with other areas of the firm to understand data challenges and solutions. Supports identification of data quality rules, thresholds, and other business requirements Perform financial reconciliation, and measure Data Quality to drive data quality resolution Define and formulate business requirements documents that contribute to resolve Data Quality issues Lead project management activities Support senior management strategic vision Appropriately assess risk when business decisions are made, demonstrating consideration for the firm’s reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable rules, laws, and regulations, adhering to Policy, applying sound ethical judgement regarding personal behaviour, conduct and business practices, and escalating managing and reporting control issues with transparency Qualifications: 5-8 years of experience with defining and implementing Data Quality programs; Banking or Finance industry preferred Strong analytical skills and attention to detail Strong project management skills Optimizes work processes by knowing the most effective and efficient processes to get things done, with a focus on continuous improvement Proficient in using data management and analysis tools including basic Microsoft applications (Word, Excel, PowerPoint) Working knowledge of Collibra and other Data Governance industry standard tools Intermediate proficiency in System Query Language (SQL) Working knowledge of Tableau (report consumer, developer, etc.) Demonstrated understanding of Database structures Proven ability to provide in-depth and sophisticated analysis with interpretive thinking to define problems and develop innovative solutions Anticipates and balances the needs of multiple stakeholders, while monitoring tight deadlines or unexpected requirement changes Communicates effectively in non-technical terms at all levels of the organization Collaborates effectively by building partnerships and working well with others to meet shared objectives Education: Bachelor's/University degree ------------------------------------------------------ Job Family Group: Data Governance ------------------------------------------------------ Job Family: Data Quality & Data Quality Analytics and Reporting ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Change Management, Data Analysis, Data Governance, Data Lineage, Data Management, Data Quality, Internal Controls, Management Reporting, Program Management, Risk Management. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

You Lead the Way. We’ve Got Your Back, At American Express, our culture is built on a 175-year history of innovation, shared values and leadership behaviours, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you’ll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. Team Description American Express US Consumer Services (USCS) is responsible for our suite of consumer products, services, and experiences in the U.S., including our premium, cobrand, cash back, and lending portfolios, Membership Rewards, Global Travel & Lifestyle Services, the Centurion Lounge network, our Global Dining and Resy businesses, U.S. Consumer Banking, and best-in-class marketing programs across customer, prospect, and partner channels. The USCS team is focused on making membership an indisputable competitive advantage and helping each other become better leaders every day. The USCS Data Office is responsible for bringing USCS critical data elements and applications in compliance to American Express Data Management Policies. Our team is dedicated to helping American Express leverage the true value of data through application of Data Management and Governance principles. Role Description As a Manager - Data Governance within US Consumer Services (USCS), you are a key member in activating and stewarding USCS data to be a more strategic enterprise asset. The USCS Data office is part of the data governance /data management framework lead by Enterprise Data Office (EDO). You will be closely working with EDO, and you will partner with product and technology subject matter experts (SMEs), and our Data Custodian team to mature our enterprise data management capabilities and execute the data governance strategy within the scope of the USCS Data Office. As a Data Steward Delegate, you are part of a team responsible for supporting activities for the day-to-day compliance with the Enterprise Data Management Operating Policy within your domains/business units. You are responsible for identifying critical data, maintaining data definitions, classifying data, supporting data sourcing / usage requests, measuring Data Risk Controls, and confirming Data Incidents are remediated. You will partner across various business units, technology teams, and product/platform teams to define and implement the data governance strategy, supervising and leading data quality, resolving data/platform issues, and driving consistency, usability, and governance of specific product data across the enterprise. This work is foundational for unlocking valuable business insights, improving overall data quality and usability, and establishing and then maintaining compliance with American Express Enterprise Data Management Operating Policy and the Enterprise Data Risk Management Policy. Primary Responsibilities Responsible for supporting the Data Steward in identifying data incidents, performing root-cause-analysis of data incidents and driving remediation of audit and regulatory feedback. Responsible for holistic platform data quality monitoring, including but not limited to key reports. Assist in the identification of data risk, working with upstream data providers, downstream business partners, as well as technology teams. Support the Data Steward in in the establishment, maintenance, and testing of controls to manage data risk within their business unit. Coordinate with Business Units and other Business Unit Data Offices to ensure System level Lineage is documented completely and accurately Build advanced platform expertise to influence the identification of critical data elements and contribute to the roadmap to govern the data elements. Collaborate with and influence product managers to ensure all new use cases are managed according to policy. If needed, partner with legal, compliance, and control management to account for and uphold diverse privacy and compliance requirements across geographies. Minimum Qualifications Advanced verbal and written communication, leadership, organizational, interpersonal, presentation, and problem-solving skills. Proven track record of understanding business challenges and strategies, connecting those to data and capabilities, and driving meaningful improvements in business value through data management and strategy. Proven track record of documentation skills and transparency. Enjoyment of understanding and documenting details in a way that other colleagues can benefit. Ability to put enterprise thinking first, connect the role’s agenda to enterprise priorities and balance the needs of customers, partners, colleagues & shareholders. Demonstrated learning agility, ability to make decisions quickly and with the highest level of integrity. Willingness to test, learn, fail and improve. Must have a positive, collaborative leadership style with colleague and customer first mindset. Preferred Qualifications Bachelor’s degree in business, analytics, information systems, computer science, engineering, or any other data-related field. 2+ years of work experience relating to the creation and execution of formal data governance and/or data management programs. Intermediate competency in SQL & Python or other programming language. Ability to work with white space to design and execute solutions to solve complex challenges. Strong working knowledge of current and upcoming data governance, data management and data product techniques and trends, with a point of view on the evolving concepts and best practices. Program management experience, with stakeholders across a diverse, global set of business units. Experience working within the Collibra Data Intelligence Platform, MANTA, or other similar Data Governance tools. ORMCM We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

Design, develop, and maintain integration solutions using Python to connect across internal applications. Write scalable Python scripts and RESTful APIs that facilitate secure and efficient transmission of data across systems. Collaborate with business analysts and architects to translate integration requirements into robust technical solutions. Create and maintain clear technical documentation for integration processes, APIs, and data flows. Ensure application integration solutions adhere to performance, security, and compliance standards. Preferably have exposure to cloud integration services (Azure Logic Apps, AWS Lambda, etc.) and microservices architectures, containerization (Docker, Kubernetes). Python and some Java required; will build connectors between enterprise platforms (e.g., Accurates Collibra, Reltio unique ID integrations). Required Skills: Technical Degree to validate the experience Deep technical expertise Overall IT experience in the range of 10+ years Display a solid understanding of the technology requested and problem-solving skills Must be analytical, focused and should be able to independently handle work with minimum supervision Good collaborator management and team player 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.

You Lead the Way. We’ve Got Your Back, At American Express, our culture is built on a 175-year history of innovation, shared values and leadership behaviours, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you’ll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. Team Description American Express US Consumer Services (USCS) is responsible for our suite of consumer products, services, and experiences in the U.S., including our premium, cobrand, cash back, and lending portfolios, Membership Rewards, Global Travel & Lifestyle Services, the Centurion Lounge network, our Global Dining and Resy businesses, U.S. Consumer Banking, and best-in-class marketing programs across customer, prospect, and partner channels. The USCS team is focused on making membership an indisputable competitive advantage and helping each other become better leaders every day. The USCS Data Office is responsible for bringing USCS critical data elements and applications in compliance to American Express Data Management Policies. Our team is dedicated to helping American Express leverage the true value of data through application of Data Management and Governance principles. Role Description As a Manager - Data Governance within US Consumer Services (USCS), you are a key member in activating and stewarding USCS data to be a more strategic enterprise asset. The USCS Data office is part of the data governance /data management framework lead by Enterprise Data Office (EDO). You will be closely working with EDO, and you will partner with product and technology subject matter experts (SMEs), and our Data Custodian team to mature our enterprise data management capabilities and execute the data governance strategy within the scope of the USCS Data Office. As a Data Steward Delegate, you are part of a team responsible for supporting activities for the day-to-day compliance with the Enterprise Data Management Operating Policy within your domains/business units. You are responsible for identifying critical data, maintaining data definitions, classifying data, supporting data sourcing / usage requests, measuring Data Risk Controls, and confirming Data Incidents are remediated. You will partner across various business units, technology teams, and product/platform teams to define and implement the data governance strategy, supervising and leading data quality, resolving data/platform issues, and driving consistency, usability, and governance of specific product data across the enterprise. This work is foundational for unlocking valuable business insights, improving overall data quality and usability, and establishing and then maintaining compliance with American Express Enterprise Data Management Operating Policy and the Enterprise Data Risk Management Policy. Primary Responsibilities Responsible for supporting the Data Steward in identifying data incidents, performing root-cause-analysis of data incidents and driving remediation of audit and regulatory feedback. Responsible for holistic platform data quality monitoring, including but not limited to key reports. Assist in the identification of data risk, working with upstream data providers, downstream business partners, as well as technology teams. Support the Data Steward in in the establishment, maintenance, and testing of controls to manage data risk within their business unit. Coordinate with Business Units and other Business Unit Data Offices to ensure System level Lineage is documented completely and accurately Build advanced platform expertise to influence the identification of critical data elements and contribute to the roadmap to govern the data elements. Collaborate with and influence product managers to ensure all new use cases are managed according to policy. If needed, partner with legal, compliance, and control management to account for and uphold diverse privacy and compliance requirements across geographies. Minimum Qualifications Advanced verbal and written communication, leadership, organizational, interpersonal, presentation, and problem-solving skills. Proven track record of understanding business challenges and strategies, connecting those to data and capabilities, and driving meaningful improvements in business value through data management and strategy. Proven track record of documentation skills and transparency. Enjoyment of understanding and documenting details in a way that other colleagues can benefit. Ability to put enterprise thinking first, connect the role’s agenda to enterprise priorities and balance the needs of customers, partners, colleagues & shareholders. Demonstrated learning agility, ability to make decisions quickly and with the highest level of integrity. Willingness to test, learn, fail and improve. Must have a positive, collaborative leadership style with colleague and customer first mindset. Preferred Qualifications Bachelor’s degree in business, analytics, information systems, computer science, engineering, or any other data-related field. 2+ years of work experience relating to the creation and execution of formal data governance and/or data management programs. Intermediate competency in SQL & Python or other programming language. Ability to work with white space to design and execute solutions to solve complex challenges. Strong working knowledge of current and upcoming data governance, data management and data product techniques and trends, with a point of view on the evolving concepts and best practices. Program management experience, with stakeholders across a diverse, global set of business units. Experience working within the Collibra Data Intelligence Platform, MANTA, or other similar Data Governance tools. ORMCM We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

Job Description Job Title : Data Management Analyst Short Description : Promote & ensure high-quality, fit-for-purpose data as part of Chief Data Office, shaping industry-leading data management strategies Posting Description The successful candidate will join a team focused on delivering business impact through transformation of Data Quality management. The role will require working with stakeholders across the CIB, other LOBs and Corporate Functions to ensure fit-for-purpose data, looking to leverage best practice across the industry and other J.P. Morgan business units. This role provides an outstanding opportunity for the selected candidate to join a high-profile team at JPMorgan Chase and take a partnership role, supporting one of the Bank’s most significant change programs. Job Responsibilities Demonstrate good understanding of data governance, data quality & data lineage Implement and support Data Quality (DQ) practices across the CIB Govern and triage DQ Issues as it progresses through the lifecycle Accelerate data quality issue level root cause analysis and resolution through effective program governance, process mapping and data deep-dives Discuss and agree technical resolutions with technology teams to remediate DQ issues Discover and document data-lineage to trace the end-to-end data journey from point of creation to consumption Set up data profiling and DQ rules leveraging DQ tools like Collibra, Informatica and other emerging tools Leverage productivity tools such as Alteryx and visualization tools such as Tableau to analyze large dataset to draw inferences Collaborate & Build strong partnerships with Business stakeholders & Technology teams to support data quality efforts Demonstrates Teamwork by collaborating with others to integrate ideas & achieve common goals Required Qualification, Capabilities & Skills 5+ years’ experience in Financial Services with Data Quality / Data Lineage / Business Analysis background Excellent analytical and problem-solving skills. Capacity to think laterally and convey an understanding of the big picture Proficiency in manipulating and analyzing large data sets in Excel (pivots, formulas, charts, etc.) Excellent communication, presentation (both oral and written) & influencing skills - candidate will be dealing with stakeholders of varying degrees of seniority across Corporate/Firmwide, Finance, Risk, Compliance, Operations and Technology teams Self-starter, able to work autonomously, with strong time management skills; efficient at multi-tasking and able to work under pressure to deliver multiple business demands on-time, to a high standard Basic understanding of the company's business practices and familiarity with the company's products and services Preferred Qualification, Capabilities & Skills Experience in CIB and CDO/Data Quality organization Experience in querying database/data stores for data analysis. Experience in producing PowerPoint presentations for senior audiences Exposure to tools/technologies such as Alteryx/Tableau/SQL/Informatica/Collibra JPMorgan Chase is an Equal Opportunity and Affirmative Action Employer, M/F/D/V About Us JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Design, develop, and maintain integration solutions using Python to connect across internal applications. Write scalable Python scripts and RESTful APIs that facilitate secure and efficient transmission of data across systems. Collaborate with business analysts and architects to translate integration requirements into robust technical solutions. Create and maintain clear technical documentation for integration processes, APIs, and data flows. Ensure application integration solutions adhere to performance, security, and compliance standards. Preferably have exposure to cloud integration services (Azure Logic Apps, AWS Lambda, etc.) and microservices architectures, containerization (Docker, Kubernetes). Python and some Java required; will build connectors between enterprise platforms (e.g., Accurates Collibra, Reltio unique ID integrations). Required Skills Technical Degree to validate the experience Deep technical expertise Overall IT experience in the range of 10+ years Display a solid understanding of the technology requested and problem-solving skills Must be analytical, focused and should be able to independently handle work with minimum supervision Good collaborator management and team player

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

About McDonald’s: One of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe. Position Summary: Data Accessibility - Supervisor, Data Operations & Management As the Data Accessibility Lead, you will drive the enterprise-wide strategy for enabling secure, governed, and scalable access to data for AI/ML, analytics, and business operations. You will lead cross-functional teams responsible for managing data lifecycle, enforcing data quality standards, and implementing modern governance tooling such as Collibra. This role is pivotal to operationalizing data accessibility across cloud platforms like GCP and AWS, including BigQuery, Redshift, and other core data infrastructure. Who we are looking for: Primary Responsibilities: Strategic Data Accessibility Leadership: Set the strategic direction for enterprise data accessibility, ensuring consistent and secure access across teams and platforms. Lead the implementation and adoption of data governance tools (e.g., Collibra) to manage metadata, lineage, and data policies. Champion enterprise adoption of semantic and technical metadata practices for improved discoverability and data use. AI / ML Enablement: Oversee the availability, quality, and governance of data used for AI / ML model development and lifecycle management. Ensure that model training, validation, and deployment pipelines have reliable and timely access to governed datasets. Partner with MLOps, engineering, and product teams to embed data accessibility standards in model workflows. Cloud Platform Integration: Oversee data accessibility initiatives in GCP and AWS, including integration with BigQuery, Redshift, and cloud-native storage. Develop strategies for managing access controls, encryption, and auditability of data assets across cloud environments. Data Governance & Quality Oversight: Define and enforce enterprise data quality standards, including data profiling, validation, and exception handling workflows. Ensure compliance with internal data policies and external regulations (e.g., GDPR, HIPAA, CCPA). Lead enterprise initiatives around data lifecycle management, from ingestion and processing to archival and retention. Cross-Functional Collaboration & Leadership: Lead and mentor a team of data operations professionals and collaborate with data engineering, governance, AI/ML, and compliance teams. Provide executive-level insights and recommendations for improving enterprise data accessibility, quality, and governance practices. Drive alignment between business units, technical teams, and compliance functions through effective data stewardship. Skill: 4 to 7 years of experience in data operations, data governance, or data quality management, with at least 3 years in a strategic leadership capacity. Strong hands-on and strategic experience with: Collibra or similar data governance platforms Cloud platforms: Google Cloud Platform (GCP), Amazon Web Services (AWS) Enterprise data warehouses such as Big Query, Redshift, or Snowflake AI/ML model lifecycle support and MLOps integration Data quality frameworks, metadata management, and data access policy enforcement SQL and enterprise-scale ETL/ELT pipelines Strong analytical and problem-solving skills; ability to work across highly matrixed, global organizations. Exceptional communication, leadership, and stakeholder management skills. Bachelor’s or Master’s degree in Data Science, Information Systems, or a related field. Preferred Experience: Experience in Retail or Quick Service Restaurant (QSR) environments with operational and real-time analytics needs. Familiarity with data mesh concepts, data product ownership, and domain-based accessibility strategies. Experience navigating privacy, residency, or regulatory compliance in global data environments. Current GCP Associates (or Professional) Certification. Work location: Hyderabad, India Work pattern: Full time role. Work mode: Hybrid. Additional Information: McDonald’s is committed to providing qualified individuals with disabilities with reasonable accommodations to perform the essential functions of their jobs. McDonald’s provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. McDonald’s Capability Center India Private Limited (“McDonald’s in India”) is a proud equal opportunity employer and is committed to hiring a diverse workforce and sustaining an inclusive culture. At McDonald’s in India, employment decisions are based on merit, job requirements, and business needs, and all qualified candidates are considered for employment. McDonald’s in India does not discriminate based on race, religion, colour, age, gender, marital status, nationality, ethnic origin, sexual orientation, political affiliation, veteran status, disability status, medical history, parental status, genetic information, or any other basis protected under state or local laws. Nothing in this job posting or description should be construed as an offer or guarantee of employment.

About McDonald’s: One of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe. Position Summary: Data Governance Tooling & Lifecycle Mgmt. Lead: (Sr Manager, Data Operations & Management) As the Data Governance Tooling & Lifecycle Management Lead, you will be responsible for the end-to-end strategy, implementation, and operations of data governance tooling and processes across the enterprise. This role leads efforts to enable scalable metadata management, data lineage, data lifecycle governance, and access policy enforcement—using modern platforms such as Collibra and supporting a cloud-native data stack spanning GCP, AWS, BigQuery, and Redshift. You will collaborate across data engineering, architecture, compliance, and analytics teams to ensure data is governed, discoverable, and trusted throughout its lifecycle. Who we are looking for: Primary Responsibilities: Governance Tooling Ownership: Own the architecture, implementation, and administration of enterprise data governance platforms (e.g., Collibra). Define and evolve governance workflows, including stewardship assignments, metadata curation, approval processes, and policy enforcement. Integrate governance tooling with cloud platforms, data warehouses, and cataloging solutions to enable real-time governance at scale. Lifecycle Management Strategy: Develop and implement strategies for data lifecycle governance from ingestion and active use through archival and deletion. Ensure that data retention, archival, and purging practices align with compliance regulations and business needs. Partner with cloud and infrastructure teams to operationalize lifecycle rules across GCP, AWS, and warehouse platforms (e.g., BigQuery, Redshift). Metadata & Lineage Enablement: Drive adoption and quality of technical and business metadata, ensuring traceability and data understanding across systems. Lead initiatives to automate and visualize end-to-end data lineage across source systems, pipelines, warehouses, and BI tools. Policy Management & Compliance: Collaborate with legal, compliance, and security teams to define and enforce data access, classification, and privacy policies. Ensure tooling supports regulatory compliance frameworks (e.g., GDPR, CCPA, HIPAA) and internal audit requirements. Collaboration & Enablement: Work with data stewards, engineers, and product teams to ensure governance tooling meets user needs and drives adoption. Support enablement efforts through training, documentation, and tooling best practices. Report on governance adoption, data quality KPIs, and policy coverage to senior leadership and data councils. Skill: 11+ years of experience in data governance, metadata management, or data operations, with 3+ years owning enterprise tooling or lifecycle processes. Deep expertise in: Data governance platforms (e.g., Collibra, Alation, Informatica) Metadata and lineage management Cloud platforms: GCP (BigQuery, Cloud Storage), AWS (Redshift, S3) SQL and enterprise-scale ETL/ELT pipelines Integration with enterprise data platforms, pipelines, and BI tools Strong understanding of compliance and regulatory data handling practices. Excellent project management and stakeholder communication skills across technical and business domains. Bachelor’s or Master’s degree in Data Management, Information Systems, Computer Science, or related field. Preferred Experience: Experience in Retail or QSR environments managing governance across global data operations. Exposure to data product ownership, data mesh, or federated governance models. Familiarity with APIs and automation scripts to extend and integrate governance workflows with data pipelines and CI/CD processes. Current GCP Associates (or Professional) Certification. Work location : Hyderabad, India Work pattern: Full time role. Work mode: Hybrid. Additional Information: McDonald’s is committed to providing qualified individuals with disabilities with reasonable accommodations to perform the essential functions of their jobs. McDonald’s provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. McDonald’s Capability Center India Private Limited (“McDonald’s in India”) is a proud equal opportunity employer and is committed to hiring a diverse workforce and sustaining an inclusive culture. At McDonald’s in India, employment decisions are based on merit, job requirements, and business needs, and all qualified candidates are considered for employment. McDonald’s in India does not discriminate based on race, religion, colour, age, gender, marital status, nationality, ethnic origin, sexual orientation, political affiliation, veteran status, disability status, medical history, parental status, genetic information, or any other basis protected under state or local laws. Nothing in this job posting or description should be construed as an offer or guarantee of employment.

Experience working on BigID or Collibra. Knowledge of data classification and data products. Understanding of data loss and personal information security. Exposure to Snowflake, S3, Redshift, SharePoint, and Box. Understanding of connecting to various source systems. Deep understanding and practical knowledge of IDEs such as Eclipse, PyCharm, or any Workflow Designer. Experience with one or more of the following languages: Java, JavaScript, Groovy, Python. Deep understanding and hands-on experience of CI/CD processes and tooling such as GitHub. Experience working in DevOps teams based on Kubernetes tools. Hands-on experience in database concepts and a fair idea about data classification, lineage, and storage is a plus. Fantastic written and spoken English, interpersonal skills, and a collaborative approach to delivery. Desirable Skills And Experience Overall IT experience in the range of 8 to 12 years Technical Degree to validate the experience Deep technical expertise Display a solid understanding of the technology requested and problem-solving skills Must be analytical, focused and should be able to independently handle work with minimum supervision Good collaborator management and team player Exposure to platforms like Talend Data Catalog, BigID, or Snowflake is an advantage Basic AWS knowledge is a plus Knowledge and experience of integration technologies like Mulesoft and SnapLogic Excellent Jira skills including the ability to rapidly generate JQL on-the-fly and save JQL queries, filters, views, etc., for publishing to fellow engineers and senior stakeholders Creation of documentation in Confluence Experience of Agile practices, preferably having been part of an Agile team for several years

About McDonald’s: One of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe. Primary Responsibilities: Strategic Data Accessibility Leadership: Set the strategic direction for enterprise data accessibility, ensuring consistent and secure access across teams and platforms. Lead the implementation and adoption of data governance tools (e.g., Collibra) to manage metadata, lineage, and data policies. Champion enterprise adoption of semantic and technical metadata practices for improved discoverability and data use. AI/ML Enablement: Oversee the availability, quality, and governance of data used for AI / ML model development and lifecycle management. Ensure that model training, validation, and deployment pipelines have reliable and timely access to governed datasets. Partner with MLOps, engineering, and product teams to embed data accessibility standards in model workflows. Cloud Platform Integration: Oversee data accessibility initiatives in GCP and AWS, including integration with BigQuery, Redshift, and cloud-native storage. Develop strategies for managing access controls, encryption, and auditability of data assets across cloud environments. Data Governance & Quality Oversight: Define and enforce enterprise data quality standards, including data profiling, validation, and exception handling workflows. Ensure compliance with internal data policies and external regulations (e.g., GDPR, HIPAA, CCPA). Lead enterprise initiatives around data lifecycle management, from ingestion and processing to archival and retention. Cross-Functional Collaboration & Leadership: Lead and mentor a team of data operations professionals and collaborate with data engineering, governance, AI / ML, and compliance teams. Provide executive-level insights and recommendations for improving enterprise data accessibility, quality, and governance practices. Drive alignment between business units, technical teams, and compliance functions through effective data stewardship. Skill: 4 to 7 years of experience in data operations, data governance, or data quality management, with at least 3 years in a strategic leadership capacity. Strong hands-on and strategic experience with: Collibra or similar data governance platforms Cloud platforms: Google Cloud Platform (GCP), Amazon Web Services (AWS) Enterprise data warehouses such as Big Query, Redshift, or Snowflake AI / ML model lifecycle support and MLOps integration Data quality frameworks, metadata management, and data access policy enforcement SQL and enterprise-scale ETL/ELT pipelines Strong analytical and problem-solving skills; ability to work across highly matrixed, global organizations. Exceptional communication, leadership, and stakeholder management skills. Bachelor’s or Master’s degree in Data Science, Information Systems, or a related field. Preferred Experience: Experience in Retail or Quick Service Restaurant (QSR) environments with operational and real-time analytics needs. Familiarity with data mesh concepts, data product ownership, and domain-based accessibility strategies. Experience navigating privacy, residency, or regulatory compliance in global data environments. Current GCP Associates (or Professional) Certification. Work location: Hyderabad, India Work pattern: Full time role. Work mode: Hybrid. Additional Information: McDonald’s is committed to providing qualified individuals with disabilities with reasonable accommodations to perform the essential functions of their jobs. McDonald’s provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. McDonald’s Capability Center India Private Limited (“McDonald’s in India”) is a proud equal opportunity employer and is committed to hiring a diverse workforce and sustaining an inclusive culture. At McDonald’s in India, employment decisions are based on merit, job requirements, and business needs, and all qualified candidates are considered for employment. McDonald’s in India does not discriminate based on race, religion, colour, age, gender, marital status, nationality, ethnic origin, sexual orientation, political affiliation, veteran status, disability status, medical history, parental status, genetic information, or any other basis protected under state or local laws. Nothing in this job posting or description should be construed as an offer or guarantee of employment.

We have an opening for Senior Manager-Data Governance for a leading consulting firm based in Gurgaon location. Exp: 12yrs -15yrs Location : Gurgaon Mode: Hybrid Pls share your resume on leeba@mounttalent.com Job Description The ideal candidate will have a goal-oriented mindset and enjoy working with cross-functional teams to deliver Data Governance capabilities and support exceptional Data Products. They will have 8+ years of experience in Data Governance, preferably in Compensation, HR, or Finance data, and be well-versed in compensation data structures, analytics, and regulatory compliance challenges. Additionally, they should have strong communication skills with proven experience in stakeholder engagement, including working with senior business and technical teams to showcase the business benefits of Data Governance. Bachelor’s or higher degree in Computer Science, Mathematics, Statistics, Finance, HR, or related fields 5+ years of experience in Data Governance, Compensation Data Management, HR Data Analytics, or Finance Data Strong knowledge of total Compensation data concepts, benefits, base, bonus, pay structures, incentives, and compliance Understanding of Data Governance frameworks (DAMA DMBoK, EDM Council’s DCAM) is beneficial Hands-on experience using Data Governance tools (e.g., Collibra, Talend, Informatica) Experience with Compensation systems and data platforms such as Workday, SAP, or Snowflake Strong stakeholder engagement and communication skills to collaborate with diverse, global teams

Greetings, We have a opening for one of our clients " Deloitte " for the position " Collibra Data Governance Developer" Role & responsibilities We are seeking a highly skilled and experienced Collibra Senior Developer. The candidate will be responsible for designing, developing, and implementing Collibra solutions. This role requires strong technical expertise in Collibra, data management, and integration with various data platforms. Key Responsibilities: 1. Design, configure, and implement Collibra Data Governance Center (DGC) solutions to meet business requirements. 2. Develop and maintain workflows, data models, and integrations within the Collibra platform. 3. Collaborate with business stakeholders, data stewards, and IT teams to gather requirements and translate them into technical solutions. 4. Customize Collibra assets, domains, and communities to align with organizational data governance frameworks. 5. Develop and manage Collibra Connect integrations with other enterprise systems. 6. Provide technical leadership and mentorship to junior developers and team members. 7. Troubleshoot and resolve issues related to Collibra configurations, workflows, and integrations. 8. Ensure compliance with data governance policies, standards, and best practices. 9. Prepare and maintain technical documentation, including solution designs, configuration guides, and user manuals. 10. Support user training and adoption of Collibra solutions across the organization. 11. Experience developing Collibra workflows using BPMN and integrating Collibra with other platforms via APIs. 12. Proficiency in Java, Python, or similar programming languages for integration and automation tasks. 13. Strong communication and interpersonal skills, with the ability to work collaboratively across teams. Work timing: 11am-8pm Location : Hyderabad / Mumbai /Delhi/NCR / Bengaluru / Kolkata / Pune / Chennai .

Job Description Are You Ready to Make It Happen at Mondelēz International? Join our Mission to Lead the Future of Snacking. Make It With Pride. Together with analytics team leaders you will support our business with excellent data models to uncover trends that can drive long-term business results. How You Will Contribute You will: Work in close partnership with the business leadership team to execute the analytics agenda Identify and incubate best-in-class external partners to drive delivery on strategic projects Develop custom models/algorithms to uncover signals/patterns and trends to drive long-term business performance Execute the business analytics program agenda using a methodical approach that conveys to stakeholders what business analytics will deliver What You Will Bring A desire to drive your future and accelerate your career and the following experience and knowledge: Using data analysis to make recommendations to senior leaders Technical experience in roles in best-in-class analytics practices Experience deploying new analytical approaches in a complex and highly matrixed organization Savvy in usage of the analytics techniques to create business impacts The Data COE Software Engineering Capability Tech Lead will be part of Data Engineering and Ingestion team and would be responsible for defining and implementing software engineering best practices, frameworks, and tools that support scalable data ingestion and engineering processes. This includes building robust backend services and intuitive front-end interfaces to enable self-service, observability, and governance in data pipelines across the enterprise. Key Responsibilities: Lead the development of reusable software components, libraries, and frameworks for data ingestion, transformation, and orchestration. Design and implement intuitive user interfaces (dashboards, developer portals, workflow managers) using React.js and modern frontend technologies. Develop backend APIs and services to support data engineering tools and platforms. Define and enforce software engineering standards and practices across the Data COE for developing and maintaining data product. Collaborate closely with data engineers, platform engineers, and other COE leads to gather requirements and build fit-for-purpose engineering tools. Integrate observability and monitoring features into data pipeline tooling. Lead evaluations and implementations of tools to support continuous integration, testing, deployment, and performance monitoring. Mentor and support engineering teams in using the frameworks and tools developed. Qualifications: Bachelor’s or master’s degree in computer science, Engineering, or related discipline. 12+ years of full-stack software engineering experience, with at least 3 years in data engineering, platform, or infrastructure roles. Strong expertise in front-end development with React.js and component-based architecture. Backend development experience in Python with exposure to microservices architecture FAST APIs and RESTful APIs. Experience working with data engineering tools such as Apache Airflow, Kafka, Spark, Delta Lake, and DBT. Familiarity with GCP cloud platforms, containerization (Docker, Kubernetes), and DevOps practices. Strong understanding of CI/CD pipelines, testing frameworks, and software observability. Ability to work cross-functionally and influence without direct authority. Preferred Skills: Proven experience with building internal developer platforms or self-service portals. Familiarity with data catalogue, metadata, and lineage tools (e.g., Collibra). Familiarity with Data Quality rules and tolls like Ataccama, Data observability tools like Datadog. Understanding of data governance and data mesh concepts. Agile delivery mindset with strong emphasis on automation and reusability. Tools and Technologies Frontend Development: React.js Backend Development: Python, FAST APIs, RESTful APIs, Microservices Architecture. Cloud Platform: GCP, AWS. Data warehousing tech: Big Query. Containerization: Docker, Kubernetes. CI/CD & DevOps: CI/CD pipelines, Testing Frameworks, Software Observability. Data Governance: Data catalogue tools (e.g., Collibra), Metadata Management, Lineage Tools (Collibra), Data Quality tools (Ataccama), Data Observability tools (Datadog), Data Mesh concepts. Optional Skills Data Engineering Tools: DBT, Apache Airflow, databricks. Familiarity with SSO tools like PingID Why Join Us? Play a strategic role in developing the engineering backbone for a next-generation enterprise Data COE. Work with cutting-edge data and software technologies in a highly collaborative and innovative environment. Drive meaningful change and enable data-driven decision-making across the business. 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 At Mondelēz International, our purpose is to empower people to snack right by offering the right snack, for the right moment, made the right way. That means delivering a broad range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about. We have a rich portfolio of strong brands globally and locally including many household names such as Oreo , belVita and LU biscuits; Cadbury Dairy Milk , Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the top position globally in biscuits, chocolate and candy and the second top position in gum. Our 80,000 makers and bakers are located in more than 80 countries and we sell our products in over 150 countries around the world. Our people are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen—and happen fast. 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 Analytics & Modelling Analytics & Data Science

Role & responsibilities Key Responsibilities: Leadership & Strategy Lead and mentor a team of MDM Specialists, ensuring accountability, performance, and continuous development. Own the execution of MDM strategy in India, aligned with global standards and business goals. Serve as the subject matter expert for master data across the organization, guiding stakeholders and ensuring alignment. Master Data Operations & Oversight Supervise day-to-day MDM activities, including data creation, enrichment, and lifecycle management across multiple domains. Monitor and ensure adherence to SLAs, data quality KPIs, and change request turnaround times. Oversee the execution and enforcement of data governance policies and master data standards. Cross-Functional Collaboration Act as a liaison between global business users (supply chain, finance, sales, IT) and the MDM team to resolve complex data issues. Collaborate with system owners and project managers on ERP (Oracle Fusion) rollouts, enhancements, and MDM initiatives. Partner with compliance, audit, and risk management functions to ensure regulatory readiness and reporting accuracy. System Management & Technical Expertise Manage and optimize MDM platforms and tools (e.g., Oracle Fusion, Informatica, Looker, SQL, Power BI). Drive integration efforts and support ETL processes to ensure seamless flow of high-quality master data across systems. Lead testing, validation, and implementation of new MDM workflows or platform enhancements. Data Governance & Quality Assurance Implement proactive data quality checks, root cause analysis, and remediation plans for recurring issues. Support audits, reconciliations, and control testing to ensure data integrity and compliance. Promote and maintain documentation of MDM business rules, SOPs, workflows, and user training materials. Continuous Improvement Identify and implement opportunities to streamline MDM processes through automation, templates, and AI-assisted tools. Recommend process and system enhancements based on performance metrics and stakeholder feedback. Champion a data-first culture through training, workshops, and cross-functional knowledge sharing. Required Qualifications: Bachelors degree in Information Systems, Business Administration, Data Management, or related discipline. 5+ years of experience in master data management, with at least 12 years in a leadership or team lead role. Deep understanding of ERP systems, especially Oracle Fusion, and business domain structures (finance, supply chain, customer data). Strong command of MDM principles, data governance best practices, and compliance frameworks. Advanced proficiency with SQL, Excel, Power BI, and other data analysis/reporting tools. Excellent problem-solving, stakeholder management, and cross-functional communication skills. Preferred candidate profile Experience with enterprise MDM platforms (e.g., Informatica MDM, SAP MDG, IBM InfoSphere). Familiarity with global data privacy and compliance regulations (e.g., GDPR, HIPAA). Exposure to cloud data architectures and integration platforms (e.g., SSIS, Talend, Data Lakes). Professional certifications in MDM or Data Governance (e.g. CDMP, CIMP). Experience working in a shared services or global capability center environment

The Data Quality Intermediate Analyst is responsible for delivering subject matter and industry expertise across the enterprise in coordination with the Data Quality team. This role deals with most problems independently and has some latitude to solve complex problems. Integrates in-depth specialty area knowledge with a solid understanding of industry standards and practices. Good understanding of how the team and area integrate with others in accomplishing the objectives of the subfunction/ job family. Responsibilities: Partners with business teams to develop process improvements, solutions, and streamline operational workflows Applies professional judgment and attention to detail when interpreting data and results based on the analysis of information May occasionally provide informal guidance or on the job training to new or lower-level team members Communicates with tact and diplomacy to exchange potentially complex/sensitive information with project stake holders or internal parties Works and coordinates with a multidisciplinary group of business leads, operations managers, and technologists Conduct root cause analysis and dispositioning of data quality scorecard exceptions Report Data Quality issues through the Data Concern Remediation Management process Defines detailed business data requirements and documenting them Appropriately assess risk when business decisions are made, demonstrating consideration for the firm’s reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable rules, laws, and regulations, adhering to Policy, applying sound ethical judgement regarding personal behaviour, conduct and business practices, and escalating managing and reporting control issues with transparency Qualifications: 5+ years’ Experience with defining and implementing Data Quality programs; Banking or Finance industry preferred Proficient in the use of basic Microsoft applications (Word, Excel, PowerPoint) Strong analytical skills and attention to detail Working knowledge of Collibra and other Data Governance industry standard tools Working knowledge of Tableau (report consumer, developer, etc.) Demonstrated understanding of Database structures Flexible, team-oriented and have good interpersonal skills Ability to work independently and as part of a team Excellent written and verbal communication skills Education: Bachelor's/University degree or equivalent experience ------------------------------------------------------ Job Family Group: Data Governance ------------------------------------------------------ Job Family: Data Quality & Data Quality Analytics and Reporting ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Change Management, Data Analysis, Data Governance, Data Lineage, Data Management, Data Quality, Internal Controls, Management Reporting, Program Management, Risk Management. ------------------------------------------------------ Other Relevant Skills Data Quality Management. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

We are looking for an experienced Data Governance Architect with deep expertise in Alation and Azure cloud platforms. This role involves partnering with senior stakeholders to define and champion an enterprise data catalog and dictionary strategy, oversee the entire lifecycle of the data catalog from establishing metadata standards and initial MVPs to executing full-scale enterprise rollouts. You should have at least 10 years of experience in data governance and proven expertise in the Alation tool on the Azure platform. Understanding of the Snowflake platform is also required. Additionally, you should have proven expertise in at least two areas such as Data Governance Operating Models, Metadata Management, Data Cataloging, Data Lineage, or Data Quality. A deep understanding of governance frameworks such as DAMA or DCAM, with practical implementation experience, is essential. In this role, you will be responsible for assessing current cataloging and dictionary capabilities, identifying gaps, and developing actionable roadmaps to enrich metadata quality, accelerate catalog population, and drive adoption. You will also need to identify different data personas using the data catalog and design persona-specific playbooks to promote adoption. Your responsibilities will include designing, deploying, and managing scalable data catalog and dictionary solutions using platforms like Alation. Understanding of leading Data Governance tools like Collibra and Purview will be beneficial. You will oversee the entire lifecycle of the data catalog, from establishing metadata standards and initial MVPs to executing full-scale enterprise rollouts. Furthermore, you will define architecture and best practices for metadata management to ensure consistency, scalability, and sustainability of the catalog and dictionary. You will identify and catalog critical data elements by capturing clear business terms, glossaries, KPIs, lineage, and persona-specific guides to build a trusted, comprehensive data dictionary. Developing and enforcing policies to maintain metadata quality, manage access, and protect sensitive information within the catalog will be part of your responsibilities. You will need to implement robust processes for catalog population, including automated metadata ingestion, leveraging APIs, glossary management, lineage tracking, and data classification. Moreover, you will develop a workflow management approach to notify changes to certified catalog content to stewards. Creating reusable frameworks and templates for data definitions and best practices to streamline catalog adoption across teams will also be expected from you.,

You have a great opportunity as an SE/SSE/SA in Chennai with 4-8 years of experience in database testing and ETL + Bigdata (Hive) testing. Your role will involve working with Agile methodology, having a minimum of 4-6 years of testing experience including test planning & execution. It would be beneficial if you have experience in the auditing domain. Your responsibilities will include strong application analysis, troubleshooting skills, and behavior skills. You should have extensive experience in manual testing, while experience with automation scripting would be an added advantage. You will also be required to lead discussions with Business, Development, and vendor teams for testing activities such as Defect Coordinator and test scenario reviews. As part of the role, you should have expertise in Data Warehouse (DWH) and ETL testing, with experience in Redshift ETL tool and AWS. Knowledge in Analytics tools like Tableau and Collibra would be beneficial. You should be open to working in 2nd shifts from 1pm to 10pm and possess excellent communication skills to effectively collaborate with various teams.,