1406 Data Governance Jobs - Page 29

Role & responsibilities The MDM Senior Team Lead working from GCC is expected to work closely with the Business Data Owners, Business IT and Group IT Organizations to operate and improve upon the "Enterprise Master Data Management" as per the SOP and provide it as a service back to all BUs in the group. This position will support operational activities such as Creation, Modification, Extension etc of Master data. Also, tasks such as monitoring and analysing of master data, identifying gaps in the key data elements and taking actions proactively to have the data corrected, completed on concurrency and consistent basis are expected. Responsibility* Master Data Life Cycle: • To ensure Master data creation / modification requests are performed through the designated systems in a controlled manner adhering to the established SOPs. This includes Masters related to Finished / Semi Finished Goods, Purchase Materials, Equipment & Task Lists, Vendors, Customers, Services and Chart of Accounts. • To manage a team of Data stewards who perform the MDM tasks as per the established SOPs • To assist in the application and implementation procedures of data standards and guideline on data ownership, data structures, and data replication to ensure access to and integrity of master data sets. • To partner with business units leadership and process experts to resolve master data issues when they arise. • To assist entities in data migration activities, UATs and system checks during ERP upgrades like S4/HANA implementations. Master Data Analysis: • To ensure master data integrity in key systems as well as maintaining the processes to support the data quality. • To identify areas for data quality improvements and help to resolve data quality problems through the appropriate choice of error detection and correction, process control and improvement, or process design strategies. • To ensure quality of master data in key systems, as well as, development and documentation of processes with other functional data owners to support ongoing maintenance and data integrity. • In collaboration with subject matter experts and data stewards, define and implement data strategy, policies, controls, and programs to ensure the enterprise data is accurate, complete, secure, and reliable. Master Data Governance : • To manage GCCS in-house Master Data Governance Tool as a front end interface between users and ERP to ensure system imposed controls and monitoring in MDM tas. • To manage and monitor BI Dashboard to keep track of KPIs and SLAs • To develop and implement strategies to translate business requirements and models into feasible and acceptable data designs to ensure that business needs are met. • To support the business with required procedures, submit incidents and change requests when needed Note: Please refer to the picklist master; the values should be taken from that picklist. 1. Top Management 2. Mid Management 3. Cross functional Collaborations 4. Client Relations 5. Financial Auditing

Salesforce Data Cloud Specialist Location: Noida, India Experience: 5- 6 Years Employment Type: Full-time Job Overview: We are looking for an experienced and results-driven Salesforce Data Cloud Specialist to join our dynamic team. The ideal candidate will be responsible for implementing and optimizing Salesforce Data Cloud (formerly known as Customer Data Platform - CDP) solutions, integrating large datasets, and enhancing data-driven decision-making across marketing, sales, and customer experience functions. Key Responsibilities: Implement and configure Salesforce Data Cloud for unified customer data profiles. Integrate Salesforce Data Cloud with Marketing Cloud, Sales Cloud, and external platforms. Design and manage customer identity resolution strategies. Work on data ingestion pipelines and ensure clean, validated, and structured data flows. Collaborate with cross-functional teams to enable segmentation, personalization, and advanced analytics. Support activation of unified data across different channels for better customer engagement. Monitor performance, troubleshoot issues, and ensure data governance and compliance. Required Skills & Experience 4+ years of experience in Salesforce ecosystem with minimum 1-2 years in Salesforce Data Cloud . Strong understanding of CDP, Data Modeling, Identity Resolution, and Consent Management . Hands-on experience with Salesforce Data Cloud Studio, Data Streams, and Calculated Insights . Proficiency in APIs, ETL tools, and data integration frameworks. Solid grasp of Salesforce Marketing Cloud , Sales Cloud , and Experience Cloud . Familiarity with data privacy regulations (GDPR, CCPA). Salesforce certifications in Data Cloud or related domains will be a strong plus. Good to Have Experience in industry-specific use cases such as Retail, Healthcare, or Finance . Strong communication and stakeholder management skills.

Paramatrix Technologies Pvt. Ltd is looking for Data Modeller to join our dynamic team and embark on a rewarding career journey As a Data Modeler, you will be responsible for designing and implementing data models, ensuring the integrity and performance of databases, and collaborating with other teams to understand data requirements Your role is pivotal in creating efficient and effective data solutions that align with business objectives Key Responsibilities:Data Modeling:Develop, design, and maintain conceptual, logical, and physical data models based on business requirements Ensure that data models are scalable, flexible, and support future business needs Database Design:Collaborate with database administrators and developers to implement and optimize database structures Design and implement indexing strategies to improve database performance Requirements Analysis:Work closely with business analysts and stakeholders to understand data requirements and translate them into data models Documentation:Create and maintain comprehensive documentation for data models, ensuring clarity and accessibility for other team members Data Governance:Implement and enforce data governance policies and best practices to ensure data quality and consistency Collaborate with data stewards to define and manage data standards Data Integration:Collaborate with ETL (Extract, Transform, Load) developers to ensure smooth data integration processes Design and optimize data integration workflows Data Quality Assurance:Implement data quality checks and validation processes to ensure the accuracy and reliability of data Collaboration:Work closely with cross-functional teams, including business analysts, data scientists, and software developers, to ensure seamless integration of data models into applications

Role & responsibilities Should be very good in Erwin data Modelling. Should have good knowledge about data quality and data catalog. Should have good understanding in data lineage. Should have good understanding of the data modelling in both OLTP and OLAP system. Should have worked in any of the data warehouse as big data architecture. Should be very good in ANSI SQL. Should have good understanding on data visualization. Should be very comfortable and experience in Data analysis. Should have good knowledge in data cataloging tool and data access policy.

We help the world run better What youll do As Data Management Consultant @ Success Delivery Center, your role will be to support customer in their digital transformation journey by implementing across Data Management solutions covering Data Migrations and Master Data Governance. As a tech-no functional consultant, you will be part of project teams delivering SAP Implementations for customers. You need to be hands on and well versed with solutions and good communication skills to participate in business discussions. Functional understanding of Data Management and prior development experience will be added advantage. While there may be travel based on customer needs, the focus will be delivering remote and offshore. Own / Acquire relevant SAP Business AI skills to position/deliver SAP s AI offerings to our customers. Enhance adoption/ consumption of various SAP AI offerings in customer use cases What you bring 6-12 Years of stable professional experience in SAP with data management and good development experience in ABAP. Experience in one or more of the following areas - SAP MDG/ Data Migration S/4HANA/ SAP Data Integration Experience in one or more of the following MDG Implementation/ Data Migration / Data Integration Solutions - SAP Data Services, Migration Cockpit, SDI, SLT, Datasphere-Integration Good functional knowledge in any SAP modules like MM, SD, PP, FICO Good Written and Verbal Communication & Ability to Interact with diverse group of people. Proven track record of performance with stable stint in the previous company. Meet your team Data Management Solution Area within BTP Delivery @ Scale is strong 100 plus team delivering engagements across wide range of Data Management Topics - Data Migration, Data Integration, Data Engineering, Data Governance and Data Quality. Location: Bangalore / Gurgaon SAP s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone - regardless of background - feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better and more equitable world. SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for . Successful candidates might be required to undergo a background verification with an external vendor. Requisition ID: 422294 | Work Area: Consulting and Professional Services | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid. Requisition ID: 422294 Posted Date: Jun 5, 2025 Work Area: Consulting and Professional Services Career Status: Professional Employment Type: Regular Full Time Expected Travel: 0 - 10% Location:

We are looking forward to hire SSRS Professionals in the following areas : Experience 6-9 Years Strong Experience in SSRS Reports development Able to write complex SQL queries using Oracle PL/SQL Experience in writing stored proc and functions. Nice to have .Net programming experience Design and develop database and application interfaces between various internal and external systems to efficiently and effective capture and integrate data Work closely with business and dev teams to translate the business/functional requirements into technical specifications that drive Big Data solutions to meet functional requirements Build, test, and maintain database pipeline architectures and collaborate with management to understand company objectives Create new data validation methods and data analysis tools and Ensure compliance with data governance and security policies Acquire datasets that align with business needs and develop algorithms to transform data into useful, actionable information Maintain application stability and data integrity by monitoring key metrics and improving code base accordingly. Certifications Good To Have Our Hyperlearning workplace is grounded upon four principles Flexible work arrangements, Free spirit, and emotional positivity Agile self-determination, trust, transparency, and open collaboration All Support needed for the realization of business goals, Stable employment with a great atmosphere and ethical corporate culture

Navan is seeking a dynamic and experienced ThoughtSpot Senior Business Intelligence (BI) Engineer to spearhead some of our BI initiatives and optimize our ThoughtSpot platform. This hands-on role is key to harnessing data insights and driving strategic decisions company-wide. You will have the opportunity to shape the future of BI at Navan while collaborating with talented, like-minded data-driven individuals. Partner with us to transform complex data into actionable insights, implement cutting-edge BI tools, and directly impact Navans strategic growth. If youre passionate about data and leading by doing, this role offers an exciting blend of challenges and rewards. What Youll Do: Drive the implementation of initiatives as role-based access control (RBAC) and automate data sharing processes. Lead enhancements in documentation and training, integrating practical examples and demos. Lead automation initiatives for improved data management and trust. Collaborate cross-functionally to refine workflows and optimize operations. Manage the administration and optimization of the ThoughtSpot platform, ensuring high availability and performance. Manage platform upgrades, updates, and support tickets efficiently. Implement ThoughtSpot AI with datasets for enhanced Natural Language Search capabilities. Drive BI governance through access controls and change management practices. Maintain Atlan-ThoughtSpot integration for seamless data definition syncs. Update and improve Confluence documentation on best practices and BI processes. Train and empower users to build accurate, well-documented dashboards using certified data sources and best practices. Empower users to uphold data trust through creative training and resources that ensure accurate, transparent dashboard creation. Manage and maintain existing data certification process with a goal of continual improvements What Were Looking For: Bachelors degree in Engineering, Information Systems, Data Science, or a related field. 5+ years of experience in business intelligence, data governance, or a related field. Excellent communication and stakeholder management skills. Strong proficiency with building and managing BI tooling (e.g. Tableau, Looker, etc). Strong SQL skills and understanding of data warehousing concepts. Proven track record in training and supporting end-users with BI platforms. Experience with automating data processes and implementing governance frameworks. Deep proficiency with ThoughtSpot strongly preferred. Familiarity with data platforms like Snowflake. Experience with integration tools like Atlan. Knowledge of scripting or programming for automation purposes.

Navan is seeking a dynamic and experienced ThoughtSpot Senior Business Intelligence (BI) Engineer to spearhead some of our BI initiatives and optimize our ThoughtSpot platform. This hands-on role is key to harnessing data insights and driving strategic decisions company-wide. You will have the opportunity to shape the future of BI at Navan while collaborating with talented, like-minded data-driven individuals. Partner with us to transform complex data into actionable insights, implement cutting-edge BI tools, and directly impact Navans strategic growth. If youre passionate about data and leading by doing, this role offers an exciting blend of challenges and rewards. What Youll Do: Drive the implementation of initiatives as role-based access control (RBAC) and automate data sharing processes. Lead enhancements in documentation and training, integrating practical examples and demos. Lead automation initiatives for improved data management and trust. Collaborate cross-functionally to refine workflows and optimize operations. Manage the administration and optimization of the ThoughtSpot platform, ensuring high availability and performance. Manage platform upgrades, updates, and support tickets efficiently. Implement ThoughtSpot AI with datasets for enhanced Natural Language Search capabilities. Drive BI governance through access controls and change management practices. Maintain Atlan-ThoughtSpot integration for seamless data definition syncs. Update and improve Confluence documentation on best practices and BI processes. Train and empower users to build accurate, well-documented dashboards using certified data sources and best practices. Empower users to uphold data trust through creative training and resources that ensure accurate, transparent dashboard creation. Manage and maintain existing data certification process with a goal of continual improvements What Were Looking For: Bachelors degree in Engineering, Information Systems, Data Science, or a related field. 5+ years of experience in business intelligence, data governance, or a related field. Excellent communication and stakeholder management skills. Strong proficiency with building and managing BI tooling (e.g. Tableau, Looker, etc). Strong SQL skills and understanding of data warehousing concepts. Proven track record in training and supporting end-users with BI platforms. Experience with automating data processes and implementing governance frameworks. Deep proficiency with ThoughtSpot strongly preferred. Familiarity with data platforms like Snowflake. Experience with integration tools like Atlan. Knowledge of scripting or programming for automation purposes.

Total Yrs. of Experience* 8 - 10years Detailed JD *(Roles and Responsibilities) Mandatory skills* Minimum 5 years of relevant informatica technical experience with Enterprise Data Warehouse(DWH) design and development using Informatica Design, develop, and optimize robust ETL/ELT pipelines using Informatica PowerCenter and other data integration tools. Manage and maintain IPP application related components BDM Ability to do performance tuning of Informatica BDM jobs Write complex SQL queries for data extraction, transformation, and analysis across relational databases. Architect and implement data solutions leveraging AWS services such as S3 Collaborate with business stakeholders to understand data requirements and deliver solutions. Monitor and troubleshoot data pipelines to ensure high availability and data quality. Implement best practices in data governance, security, and compliance. Create, maintain, review design documentations Implement and manage Change Requests pertaining to IPP application related components S3, BDM and MFT Work with other relevant teams (SCP, IOC, Production Control, Infra, Security, Audit) as required Work with platform and application teams to manage and close incidents / issues and implement changes, to troubleshoot complex Data issues and resolve them within SLA Documenting and updating of Standard Operating Procedures (SOPs) Desired skills* Architect and implement data solutions leveraging Python, lambda, EMR Build and maintain scalable data workflows and orchestration using Apache Airflow.

Role & responsibilities Should be very good in Erwin data Modelling. Should have good knowledge about data quality and data catalog. Should have good understanding in data lineage. Should have good understanding of the data modelling in both OLTP and OLAP system. Should have worked in any of the data warehouse as big data architecture. Should be very good in ANSI SQL. Should have good understanding on data visualization. Should be very comfortable and experience in Data analysis. Should have good knowledge in data cataloging tool and data access policy.

Role & responsibilities Should be very good in Erwin data Modelling. Should have good knowledge about data quality and data catalog. Should have good understanding in data lineage. Should have good understanding of the data modelling in both OLTP and OLAP system. Should have worked in any of the data warehouse as big data architecture. Should be very good in ANSI SQL. Should have good understanding on data visualization. Should be very comfortable and experience in Data analysis. Should have good knowledge in data cataloging tool and data access policy.

Role & responsibilities Should be very good in Erwin data Modelling. Should have good knowledge about data quality and data catalog. Should have good understanding in data lineage. Should have good understanding of the data modelling in both OLTP and OLAP system. Should have worked in any of the data warehouse as big data architecture. Should be very good in ANSI SQL. Should have good understanding on data visualization. Should be very comfortable and experience in Data analysis. Should have good knowledge in data cataloging tool and data access policy.

Role & responsibilities Should be very good in Erwin data Modelling. Should have good knowledge about data quality and data catalog. Should have good understanding in data lineage. Should have good understanding of the data modelling in both OLTP and OLAP system. Should have worked in any of the data warehouse as big data architecture. Should be very good in ANSI SQL. Should have good understanding on data visualization. Should be very comfortable and experience in Data analysis. Should have good knowledge in data cataloging tool and data access policy.

Role & responsibilities Should be very good in Erwin data Modelling. Should have good knowledge about data quality and data catalog. Should have good understanding in data lineage. Should have good understanding of the data modelling in both OLTP and OLAP system. Should have worked in any of the data warehouse as big data architecture. Should be very good in ANSI SQL. Should have good understanding on data visualization. Should be very comfortable and experience in Data analysis. Should have good knowledge in data cataloging tool and data access policy.

Manager, Information Systems Veeva Service Delivery What you will do In this vital role you will responsible for leading the team to support and maintain the Amgen Veeva Vault Platform. The role will be involved in defining Amgens Veeva Vault Platform support strategy, guiding technology decisions, and ensuring timely service is deliver to the Amgen Veeva Vault platform users and their issues are resolved. The ideal candidate will have a consistent record of leadership in technology-driven environments, leading technology platforms, digital transformation initiatives, and have a passion for fostering innovation and excellence in the biotechnology industry. Additionally, collaboration with multi-functional and global teams is required to ensure seamless integration and operational excellence. This role demands the ability to drive and deliver against key organizational critical initiatives, develop a collaborative environment, and deliver high-quality results in a matrixed organizational structure. Roles & Responsibilities: Develop and maintain the enterprise Veeva Vault Platform support strategy, ensuring alignment with business objectives. Responsible for fostering platform reliability. Identify and mitigate architectural risks, ensuring that the platform is scalable, secure, and resilient Maintain knowledge base of Veeva issues, including principles, standards, user guides, and models Drive continuous improvement in the architecture by seeing opportunities for innovation and efficiency Work with collaborators to gather and analyze requirements, ensuring that solutions meet both business and technical needs Accountable for designing and building customizations & configurations on the Platform as per the business needs including, creating custom objects, fields, workflows and SDKs Responsible for strategizing Platform Integrations while adhering to consistent integration standards and patterns, designing integration workflows, building connectors, centralizing build & run and implementing consistent DevOps model for integrations Perform impact assessments, clearly define AS-IS and TO-BE states, and recommend platform upgrades in accordance with the new features and functionalities released by Veeva Design platform architecture that can scale to meet growing business needs and performance demands Develop and maintain logical, physical, and conceptual data models to support business needs Establish and implement data standards, governance policies, and best practices What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Masters degree with 4 - 6 years of experience in Computer Science, IT or related field OR Bachelors degree with 6 - 8 years of experience in Computer Science, IT or related field OR Diploma with 10 - 12 years of experience in Computer Science, IT or related field Must-Have Skills: Solid understanding of Veeva Vault Platform and Veeva Vaults Experience with system integration technologies like Mulesoft, Databricks, etc. Excellent knowledge of data model and governance 6-8 years Global Pharmaceutical experience Solid understanding of pharmaceutical operations and data management business processes Experienced in pharmaceutical regulations and specifications Have Team\People management experience Experienced in GxP process Experience working in agile methodology, including Product Teams and Product Development models Proficiency in designing scalable, secure, and cost-effective solutions Can work late hours Can work with multiple teams to meet the business and collaborator needs Can lead and guide multiple teams to meet business needs and goals Have collaborator and team management skills Good-to-Have Skills: Strong solution design and problem-solving skills Solid understanding of technology, function, or platform Experience in developing differentiated and deliverable solutions Ability to analyze client requirements and translate them into solutions Knowledge of Platform and Data Governance Professional Certifications: Veeva Vault Platform Administrator (mandatory) SAFe DevOps Practitioner (mandatory) SAFe for teams (preferred) Soft Skills: Should be able convert business requirements into technical requirements Excellent critical-thinking and problem-solving skills Good communication and collaboration skills Proven awareness of how to function in a team setting Proven awareness of presentation skills Shift Information: This position requires you to work a later shift and may be assigned a second or third shift schedule. Candidates must be willing and able to work during evening or night shifts, as required based on business requirements.

About the Opportunity Job TypeApplication 30 June 2025 Job Title Manager, CFO Master Data Management Specialist Dept CFO Data Management Location Gurgaon Level 5 About your team The CFO Data Management team is passionate about improving the data culture and maturity of the CFO function, and the FIL enterprise. We work closely with a wide range of Technology and Change teams across the enterprise to embed the right data governance operating models, tools and data architecture into the CFO business that will help us to advance on our data journey. We partner with data role holders across CFO, and the wider enterprise, to understand and catalogue our metadata, and improve data management, quality and accessibility, as key foundations for improving visualisation and AI capabilities. We work with the CFO business to understand data challenges, as well as opportunities, and support them to develop lasting solutions. We own the Finance Ledger master data including the Chart of Accounts, hierarchies and mappings, and partner with the CFO business to manage and maintain these in line with organisational change. About your role FIL has implemented Core Finance Platform (CFP) based upon Oracle Financials and Procurement Cloud ERP (Fusion / R13) - replacing legacy JD Edwards general ledger and Oracle Web Centre based procurement systems. As part of the CFP implementation, the finance ledger Chart of Accounts was reviewed and fundamentally redesigned. The current Chart of Accounts segment values, descriptions and hierarchies are mastered and maintained using Oracle DRM, supported by workflow approval processes using K2. In addition, some of the legacy chart of account values are also required to be maintained, along with supporting mappings. The ongoing support and maintenance of this dataset is critical, not only to Finance processes and reporting - both internal and external - but across the entire FIL enterprise, with many other business areas using these values and hierarchies to drive reporting. You will be working closely with CFO business to understand, validate and action change requests in a structured way, working to clear month end timetables, and considering the impact on related datasets and processes such as cross validations rules, and allocations rules. As part of this role, you will also be required to manage and administer the ARCS Account Attestation system which is a key control and reconciliation tool for the Financial Accounting team. You will be required to build a good understanding of the CFP solution and associated systems to provide support and contribute to ongoing continuous improvement and change initiatives. You will also contribute to other CFO Data Management activities and projects as required. Key Responsibilities MDM Operations Maintenance of Chart of Accounts, Allocations Rules, CVRs and Mappings. MDM change activity - Chart of Accounts and mappings project work, process improvements and remediation activity (DRM) Data steward for Master Data (DRM) ARCS month end support & product ownership FIL Life reconciliation support (monthly) Regression testing of Oracle Quarterly Patches. Data Management Operations under CFO data program. Skills, Experience and Qualifications Required Experience of working in any Oracle ERP preferably Finance module (Oracle Cloud experience preferred, but experience with Oracle eBusiness Suite eBS -R12 acceptable)., knowledge of chart of accounts (CoAs). EPM systems and multi-dimensional reporting. Business Analysis and requirements writing for business process owner to be used by tech partners Finance background required, familiar with financial and management accounting (MA) concepts. Proven analytical skills, demonstrating accuracy and attention to detail. Good Microsoft office skills PowerPoint, Project, Excel, Word Experience of data presentational tools such as PowerBI Strong presentation skills, both written & verbal Accounting or Management qualification highly desirable Feel rewarded For starters, well offer you a comprehensive benefits package. Well value your wellbeing and support your development. And well be as flexible as we can about where and when you work finding a balance that works for all of us. Its all part of our commitment to making you feel motivated by the work you do and happy to be part of our team. For more about our work, our approach to dynamic working and how you could build your future here, visit careers.fidelityinternational.com.

Overview Deliver data governance in line with DG Policies, including data assessment, data classification, capturing metadata, governing standards, DQ measurement and leading remediation, with a focus on the supplier (vendor) domain. This role will report to the PGT Supplier Steward Lead and focus on source (ERP) system governance. Responsibilities Drive supplier domain metadata mgmt. to enable understanding of data Contribute to Supplier master data mgmt. (MDM) implementation to create global harmonized supplier list and supplier hierarchy Refine supplier data standards to ensure consistency of global supplier master data Lead supplier domain data quality mgmt. to ensure data is fit for business use Comply with data security, privacy and retention policies to ensure appropriate access, privacy, protection, retention and retrieval measures are in place for supplier data. Qualifications 3+ years of experience working in Data Governance or Data Management within a global CPG (Consumer Packaged Good) company; Strong data management background who understands data, how to ingest data, proper data use / consumption, data quality, and stewardship. 3+ years of experience working with data in the Supplier domain, Procure to Pay process, involved systems and data usage. 3+ years of experience working with SAP implementations, including significant knowledge of master data table schema and exposure to data conversion, workflows, and the design of data quality rules. 3+ years of experience working with SAP S/4 HANA and SAP MDG Preferred experience in PepsiCo Global Template (PGT) and PIRT Ability to partner with both business and technical subject matter experts to ensure standardization of operational information and execution of enterprise-wide data governance policies and procedures

Overview We are seeking an experienced and strategic leader to join our Business Intelligence & Reporting organization as Deputy Director BI Governance. This role will lead the design, implementation, and ongoing management of BI governance frameworks across sectors and capability centres. The ideal candidate will bring deep expertise in BI governance, data stewardship, demand management, and stakeholder engagement to ensure a standardized, scalable, and value-driven BI ecosystem across the enterprise. Responsibilities Key Responsibilities Governance Leadership Define and implement the enterprise BI governance strategy, policies, and operating model. Drive consistent governance processes across sectors and global capability centers. Set standards for BI solution lifecycle, metadata management, report rationalization, and data access controls. Stakeholder Management Serve as a trusted partner to sector business leaders, IT, data stewards, and COEs to ensure alignment with business priorities. Lead governance councils, working groups, and decision forums to drive adoption and compliance. Policy and Compliance Establish and enforce policies related to report publishing rights, tool usage, naming conventions, and version control. Implement approval and exception processes for BI development outside the COE. Demand and Intake Governance Lead the governance of BI demand intake and prioritization processes. Ensure transparency and traceability of BI requests and outcomes across business units. Metrics and Continuous Improvement Define KPIs and dashboards to monitor BI governance maturity and compliance. Identify areas for process optimization and lead continuous improvement efforts. Qualifications Experience12+ years in Business Intelligence, Data Governance, or related roles, with at least 4+ years in a leadership capacity. Domain ExpertiseStrong understanding of BI platforms (Power BI, Tableau, etc.), data management practices, and governance frameworks Strategic MindsetProven ability to drive change, influence at senior levels, and align governance initiatives with enterprise goals. Operational ExcellenceExperience managing cross-functional governance processes and balancing centralized control with local flexibility. EducationBachelor's degree required; MBA or Masters in Data/Analytics preferred.

About the role The Senior Data Manager plays a crucial role by ensuring the highest standards of data quality measurement, monitoring, analysis, and remediation. With a primary focus on data quality, the Senior Data Manager adopts a data quality by design approach to drive excellence in data management. This role also involves expertise in master data management and data governance to support effective decision-making and operational efficiency. Develop and implement data quality measurement frameworks, methodologies, and tools to assess and monitor data quality across the organization. Conduct in-depth data quality analysis, identify data issues, and recommend appropriate remediation strategies to improve data accuracy, completeness, consistency, and integrity. Collaborate with cross-functional teams to establish data quality standards, policies, and procedures, ensuring adherence to regulatory requirements and industry best practices. Drive the adoption of a data quality by design approach, integrating data quality controls and processes into system development life cycles and data management practices. Provide expert guidance and support in master data management, including data modeling, data mapping, data integration, and data cleansing activities. Establish and maintain data governance frameworks, including data stewardship, data ownership, and data quality roles and responsibilities. Develop and deliver training programs to enhance data management capabilities across the organization, promoting a data-driven culture Collaborate with IT teams to ensure data quality tools and technologies are effectively implemented and utilized to support data management initiatives. Stay updated with industry trends, emerging technologies, and regulatory changes related to data management, and recommend innovative solutions to enhance data quality and governance practices. Foster strong relationships with internal stakeholders, including business leaders, data owners, and data custodians, to drive collaboration and alignment in data management efforts. Work closely with data stewards and data owners to define and enforce data quality standards and policies. About you knowledge and abilities Proven experience in data management, data quality measurement, and data analysis within a multinational network and IT services organization. Strong knowledge of data quality frameworks, methodologies, and best practices. Excellent analytical and problem-solving skills, with the ability to identify data issues and recommend effective remediation strategies. Strong communication and interpersonal skills to collaborate with cross-functional teams and stakeholders at all levels. Ability to drive initiatives from within the team and realize them for organization and/or teams benefit. Continuous learning mindset to stay updated with emerging trends and technologies in data management. Education, qualifications, and certifications A bachelor's degree in science, computers/IT, engineering or commerce. Professional Software Certifications on Data Management Analysis will be a plus. Project Management certifications such as SCRUM, PRINCE2, PMi-ACP & ITIL will be an advantage. Experience The right person for this role will be a seasoned expert in data management and have extensive experience of Data Governance, Master Data & Data quality. Should have worked on handling Data Quality & Governance projects. Positive work attitude with ability to work well as a team with personnel from other teams/organizations. Additional information why become a Senior Data Manager? As a Senior Data Manager, you will work with a variety of business functions across the organization and have the opportunity to work on a wide range of projects. This can provide a stimulating and challenging work environment, By helping clients implement effective data strategies, you can have a significant impact on their business operations, efficiency, and profitability.

Role Description: You will play a key role in the implementation and adoption of the data governance framework which will modernize Amgen's data ecosystem, positioning Amgen as a leader in biopharma innovation. This role leverages state-of-the-art technologies, including Generative AI, Machine Learning, and integrated data. This role involves working closely with business stakeholders and data analysts to ensure implementation and adoption of the data governance framework. You will collaborate with the Product Owner and other Business Analysts to ensure operational support and excellence from the team. Roles & Responsibilities: Responsible for the data governance and data management framework implementation for the Development domain of the biopharma lifecycle. Contribute to the operationalization of the Enterprise data governance framework and aligning broader stakeholder community with their data governance needs, including data quality, data access controls, compliance with privacy and security regulations, foundational master data management, data sharing, communication and change management. Works with Enterprise MDM and Reference Data to enforce standards and data reusability. Contribute to the cross functional alignment in his/her domain(s) of expertise to ensure adherence to Data Governance principles. Maintain documentation on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. for assigned domains. Partner with business teams to identify compliance requirements with data privacy, security, and regulatory policies for the assigned domains Jointly with Technology teams, business functions, and enterprise teams (e.g., MDM, Enterprise Data Fabric, etc.) define the specifications shaping the development and implementation of data foundations. Build strong relationships with key business leaders and partners to ensure their needs are met Functional Skills: Must-Have Functional Skills: Technical skills with knowledge of Pharma processes with specialization in the Development domain of the biopharma lifecycle. General knowledge of data management, common data models, metadata management, data quality, master data management, data stewardship, data protection, etc. Experience with data products development life cycle, including the enablement of data dictionaries, business glossary to increase data products reusability and data literacy. Customer-focused with excellent written and verbal communication skills who can confidently work with internal Amgen business stakeholders and external service partners on business process and technology topics Experience of working with or supporting systems used to data governance framework. E.g. Collibra, Alation Excellent problem-solving skills and committed attention to detail in finding solutions Good-to-Have Functional Skills: Experience with Agile software development methodologies (Scrum) Proficiency in data analysis and quality tools (e.g., SQL, Excel, Python, or SAS). Soft Skills: Highly organized and able to work under minimal supervision Excellent analytical and assessment skills Ability to work effectively with global, virtual teams Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Ambitious to further develop their skills and career Ability to build business relationships and understand end-to-end data use and needs. Excellent interpersonal skills (team player). People management skills either in matrix or direct line function. Strong verbal and written communication skills High degree of initiative and self-motivation. Good presentation and public speaking skills. Strong attention to detail, quality, time management and customer focus. Basic Qualifications: Bachelors degree and 3 to 5 years of Life Science/Biotechnology/Pharmacology/Information Systems experience OR Diploma and 7 to 9 years of Life Science/Biotechnology/Pharmacology/ Information Systems experience

What you will do In this vital role you will be responsible for supporting and maintaining the Veeva Vault Quality system and its hosted applications like Quality-Docs, QMS, Veeva Vault Manager and etc. The role entails fostering platform reliability and efficiency through streamlined release management and establishing a consistent DevOps and CI/CD framework. The role will be working closely with collaborators to understand support requirements and ensure that solutions are scalable, secure, and aligned with business goals. The role will be involved in defining and ensuring the validated state of the Veeva Vault Quality. Roles & Responsibilities: Develop and maintain the enterprise architecture vision and strategy, ensuring alignment with business objectives, in Veeva Vault Quality system Responsible for fostering platform reliability and efficiency through streamlined release management & execution and establishing consistent DevOps & CI/CD framework Accountable for designing and building customizations & configurations on the Platform as per the business needs including, creating custom objects, fields, workflows and SDKs Responsible for strategizing Platform Integrations while adhering to consistent integration standards and patterns, designing integration workflows, building connectors, centralizing build & run and implementing consistent DevOps model for integrations Identify and mitigate architectural risks, ensuring that the platform is scalable, secure, and resilient Maintain comprehensive documentation of the platform architecture, including principles, standards, user guides, and models Drive continuous improvement in the architecture by finding opportunities for innovation and efficiency Work with collaborators to gather and analyze requirements, ensuring that solutions meet both business and technical needs Perform impact assessments, clearly define AS-IS and TO-BE states, and recommend platform upgrades in accordance with the new features and functionalities released by Veeva Design platform architecture that can scale to meet growing business needs and performance demands Develop and maintain logical, physical, and conceptual data models to support business needs Establish and implement data standards, governance policies, and best practices Basic Qualifications: Masters degree with 4 - 6 years of experience in Computer Science, IT or related field OR Bachelors degree with 6 - 8 years of experience in Computer Science, IT or related field OR Diploma with 10 - 12 years of experience in Computer Science, IT or related field Must-Have Skills: Solid understanding of Veeva Vault Quality system and its hosted applications like Quality-Docs, QMS, Veeva Vault Manager and etc 6-8 year Global Pharmaceutical experience Solid understanding of pharmaceutical manufacturing business process and regulations Experienced in pharmaceutical regulations and specifications Team\People management experience Experienced in GxP process Experience with system integration and IT infrastructure Experience working in agile methodology, including Product Teams and Product Development models Proficiency in designing scalable, secure, and cost-effective solutions Good-to-Have Skills: Strong solution design and problem-solving skills Solid understanding of technology, function, or platform Experience in developing differentiated and result solutions Ability to analyze client requirements and translate them into solutions Knowledge of Platform and Data Governance Professional Certifications: Veeva Vault Platform Administrator (mandatory) SAFe DevOps Practitioner (mandatory) SAFe for teams (preferred) Soft Skills: Should be able convert business requirements into technical requirements Excellent critical-thinking and problem-solving skills Good communication and collaboration skills Demonstrated awareness of how to function in a team setting Demonstrated awareness of presentation skills Shift Information: This position requires you to work a later shift and may be assigned a second or third shift schedule. Candidates must be willing and able to work during evening or night shifts, as required based on business requirements.

What you will do We are seeking a seasoned Principal Data Engineer to lead the design, development, and implementation of our data strategy. The ideal candidate possesses a deep understanding of data engineering principles, coupled with strong leadership and problem-solving skills. As a Principal Data Engineer, you will architect and oversee the development of robust data platforms, while mentoring and guiding a team of data engineers. Roles & Responsibilities: Possesses strong rapid prototyping skills and can quickly translate concepts into working code. Provide expert guidance and mentorship to the data engineering team, fostering a culture of innovation and standard methodologies. Design, develop, and implement robust data architectures and platforms to support business objectives. Oversee the development and optimization of data pipelines, and data integration solutions. Establish and maintain data governance policies and standards to ensure data quality, security, and compliance. Architect and manage cloud-based data solutions, using AWS or other preferred platforms. Lead and motivate an impactful data engineering team to deliver exceptional results. Identify, analyze, and resolve complex data-related challenges. Collaborate closely with business collaborators to understand data requirements and translate them into technical solutions. Stay abreast of emerging data technologies and explore opportunities for innovation. Basic Qualifications: Masters degree and 8 to 10 years of computer science and engineering preferred, other Engineering field is considered OR Bachelors degree and 10 to 14 years of computer science and engineering preferred, other Engineering field is considered; Diploma and 14 to 18 years of in computer science and engineering preferred, other Engineering field is considered Demonstrated proficiency in using cloud platforms (AWS, Azure, GCP) for data engineering solutions. Strong understanding of cloud architecture principles and cost optimization strategies. Proficient on experience in Python, PySpark, SQL. Handon experience with bid data ETL performance tuning. Proven ability to lead and develop impactful data engineering teams. Strong problem-solving, analytical, and critical thinking skills to address complex data challenges. Preferred Qualifications: Experienced with data modeling and performance tuning for both OLAP and OLTP databases Experienced with Apache Spark, Apache Airflow Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and Dev Ops Experienced with AWS, GCP or Azure cloud services Professional Certifications AWS Certified Data Engineer preferred Databricks Certificate preferred Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills.

ABOUT THE ROLE Role Description: You will play a key role in the implementation and adoption of the data governance framework which will modernize Amgen's data ecosystem, positioning Amgen as a leader in biopharma innovation. This role leverages state-of-the-art technologies, including Generative AI, Machine Learning, and integrated data. This role involves working closely with business stakeholders and data analysts to ensure implementation and adoption of the data governance framework. You will collaborate with the Product Owner and other Business Analysts to ensure operational support and excellence from the team. Roles & Responsibilities: Responsible for the data governance and data management framework implementation for the Development domain of the biopharma lifecycle. Contribute to the operationalization of the Enterprise data governance framework and aligning broader stakeholder community with their data governance needs, including data quality, data access controls, compliance with privacy and security regulations, foundational master data management, data sharing, communication and change management. Works with Enterprise MDM and Reference Data to enforce standards and data reusability. Contribute to the cross functional alignment in his/her domain(s) of expertise to ensure adherence to Data Governance principles. Maintain documentation on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. for assigned domains. Partner with business teams to identify compliance requirements with data privacy, security, and regulatory policies for the assigned domains Jointly with Technology teams, business functions, and enterprise teams (e.g., MDM, Enterprise Data Fabric, etc.) define the specifications shaping the development and implementation of data foundations. Build strong relationships with key business leaders and partners to ensure their needs are met Functional Skills: Must-Have Functional Skills: Technical skills with knowledge of Pharma processes with specialization in the Development domain of the biopharma lifecycle. General knowledge of data management, common data models, metadata management, data quality, master data management, data stewardship, data protection, etc. Experience with data products development life cycle, including the enablement of data dictionaries, business glossary to increase data products reusability and data literacy. Customer-focused with excellent written and verbal communication skills who can confidently work with internal Amgen business stakeholders and external service partners on business process and technology topics Experience of working with or supporting systems used to data governance framework. E.g. Collibra, Alation Excellent problem-solving skills and committed attention to detail in finding solutions Good-to-Have Functional Skills: Experience with Agile software development methodologies (Scrum) Proficiency in data analysis and quality tools (e.g., SQL, Excel, Python, or SAS). Soft Skills: Highly organized and able to work under minimal supervision Excellent analytical and assessment skills Ability to work effectively with global, virtual teams Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Ambitious to further develop their skills and career Ability to build business relationships and understand end-to-end data use and needs. Excellent interpersonal skills (team player). People management skills either in matrix or direct line function. Strong verbal and written communication skills High degree of initiative and self-motivation. Good presentation and public speaking skills. Strong attention to detail, quality, time management and customer focus. Basic Qualifications: Bachelors degree and 3 to 5 years of Life Science/Biotechnology/Pharmacology/Information Systems experience OR Diploma and 7 to 9 years of Life Science/Biotechnology/ Pharmacology/ Information Systems experience .

Role Description: You will play a key role in the implementation and adoption of the data governance framework which will modernize Amgen's data ecosystem, positioning Amgen as a leader in biopharma innovation. This role leverages state-of-the-art technologies, including Generative AI, Machine Learning, and integrated data. This role involves working closely with business stakeholders and data analysts to ensure implementation and adoption of the data governance framework. You will collaborate with the Product Owner and other Business Analysts to ensure operational support and excellence from the team. Roles & Responsibilities: Responsible for the data governance and data management framework implementation for the Supply Chain domain of the biopharma lifecycle. Contribute to the operationalization of the Enterprise data governance framework and aligning broader stakeholder community with their data governance needs, including data quality, data access controls, compliance with privacy and security regulations, foundational master data management, data sharing, communication and change management. Works with Enterprise MDM and Reference Data to enforce standards and data reusability. Contribute to the cross functional alignment in his/her domain(s) of expertise to ensure adherence to Data Governance principles. Maintain documentation on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. for assigned domains. Partner with business teams to identify compliance requirements with data privacy, security, and regulatory policies for the assigned domains Jointly with Technology teams, business functions, and enterprise teams (e.g., MDM, Enterprise Data Fabric, etc.) define the specifications shaping the development and implementation of data foundations. Build strong relationships with key business leaders and partners to ensure their needs are met Functional Skills: Must-Have Functional Skills: Technical skills with knowledge of Pharma processes with specialization in the Supply Chain domain of the biopharma lifecycle. General knowledge of data management, common data models, metadata management, data quality, master data management, data stewardship, data protection, etc. Experience with data products development life cycle, including the enablement of data dictionaries, business glossary to increase data products reusability and data literacy. Customer-focused with excellent written and verbal communication skills who can confidently work with internal Amgen business stakeholders and external service partners on business process and technology topics Experience of working with or supporting systems used to data governance framework. E.g. Collibra, Alation Excellent problem-solving skills and committed attention to detail in finding solutions Good-to-Have Functional Skills: Experience with Agile software development methodologies (Scrum) Proficiency in data analysis and quality tools (e.g., SQL, Excel, Python, or SAS). Soft Skills: Highly organized and able to work under minimal supervision Excellent analytical and assessment skills Ability to work effectively with global, virtual teams Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Ambitious to further develop their skills and career Ability to build business relationships and understand end-to-end data use and needs. Excellent interpersonal skills (team player). People management skills either in matrix or direct line function. Strong verbal and written communication skills High degree of initiative and self-motivation. Good presentation and public speaking skills. Strong attention to detail, quality, time management and customer focus. Basic Qualifications: Bachelors degree and 3 to 5 years of Life Science/Biotechnology/Pharmacology/ Information Systems experience OR Diploma and 7 to 9 years of Life Science/Biotechnology/Pharmacology/ Information Systems experience.

Collibra Data Governance Engineer Job Location : Hyderabad / Bangalore / Chennai / Noida/ Gurgaon / Pune / Indore / Mumbai/ Kolkata Required Skills 5+ years of experience in data governance and/or metadata management. Hands-on experience with Collibra Data Governance Center (Collibra DGC), including workflow configuration, cataloging, and operating model customization . Strong knowledge of metadata management, data lineage, and data quality principles . Hands-on experience with Snowflake Familiarity with data integration tools and AWS cloud platform Experience with SQL and working knowledge of relational databases. Understanding of data privacy regulations (e.g., GDPR, CCPA) and compliance frameworks. Preferred Skills Certifications such as Collibra Certified Solution Architect . Experience integrating Collibra with tools like Snowflake, Tableau or other BI/analytics platforms. Exposure to DataOps, MDM (Master Data Management) , and data governance frameworks like DAMA-DMBOK. Strong communication and stakeholder management skills.