323 Collibra Jobs - Page 7

Data Management Strategy & Governance Associate Advisor - HIH - Evernorth ABOUT EVERNORTH: Evernorth℠ exists to elevate health for all, because we believe health is the starting point for human potential and progress. As champions for affordable, predictable and simple health care, we solve the problems others don’t, won’t or can’t. Our innovation hub in India will allow us to work with the right talent, expand our global footprint, improve our competitive stance, and better deliver on our promises to stakeholders. We are passionate about making healthcare better by delivering world-class solutions that make a real difference. We are always looking upward. And that starts with finding the right talent to help us get there. Position Overview Work with data governance products to assist Product Owner(s) with guiding functionality and content development with our business and engineering partners. Works daily with our delivery team partners to gain functionality to build trust in data by ensuring quality, accuracy across an organization. Work daily with partners to understand use case and necessary quality checks to govern the data. Works daily with our data stewards and data owners to onboard and train on data governance platforms and concepts. Qualifications Required Skills: Ability to lead functional development and tool on boarding meetings documenting decisions and issues Ability to translate business data governance requirements into technical requirements to meet multiple business needs Strong analytical, creative problem solving, and process management skills Ability to work with various data assets and provide insight into the data Ability to plan and prioritize own work effectively to achieve set end results Excellent attention to detail Excellent oral, written & presentation communication skills Ability to accept ambiguity, open to new ideas; willing to test and fail; and attempt new processes Ability to influence peers and subordinates to modify behaviors and provide support for the implementation and adoption of data governance and metadata strategy and practices. Ability to work independently and as a part of a team with a positive attitude for team goals. Ability to deal with multiple time zones Proactive flexible attitude with a desire to learn new skills in the growing field of data governance Agile Experience a plus. Required Experience & Education: 8 -11 Years of Experience Experience (3-4+ years working experience) with data governance, constructs including technical and business metadata. Understanding of structured and semi-structured data, data quality knowledge Strong ability to drive connections with a wide variety of data platforms including AWS (Databricks, Teradata, Snowflake, Kafka), Azure, DB2 and SQL Server, etc. Knowledgeable on firewalls is a plus. Experience in using BI reporting tool is a plus. Experience with Collibra data governance products, Healthcare Industry data and/or data governance regulations and controls is a plus. Tooling: Excel, Agile knowlage like Jira or Rally, SQL knowledge, Tableau, other reporting tools, Experience with Data Governance Tools (Collibra DQ & Collibra Data Inteligence ) Alation or similar desired Location & Hours of Work Full-time position, working 40 hours per week. Expected overlap with US hours as appropriate Primarily based in the Innovation Hub in Hyderabad, India in a hybrid working model (3 days WFO and 2 days WAH) Equal Opportunity Statement Evernorth is an Equal Opportunity Employer actively encouraging and supporting organization-wide involvement of staff in diversity, equity, and inclusion efforts to educate, inform and advance both internal practices and external work with diverse client populations. About Evernorth Health Services Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.

Currently Hiring for " Data Governance Analyst " in a leading Bank. location- Kolkata /Work from office ( Data Governance Analyst with good experience in Data Governance/Quality framework, Policies as well as Tooling. Exposure to Data Privacy.) Experience / Skillset / Certifications Required: Minimum of 5+ years of enterprise data governance, experience working with Data warehouse technologies and data governance solutions (ex. Data Catalog, MDM and Data Quality) Must have 3+ years of practical experience configuring business glossaries, dashboards, policies, search, Data maps 3+ years’ experience in Data Standardization, Cleanse, transform and parse data. Develop data standardization mapplets and mappings Good to have working knowledge of any of the Data Governance tools such as Informatica, Collibra etc. Good to have certification in DAMA, EDM Council, IQINT Good to have knowledge of AI/ML and their application in Data Governance. If interested -share resume # bhumika@peoplemint.in Show more Show less

Overview We are seeking an experienced Data Architect with extensive expertise in designing and implementing modern data architectures. This role requires strong software engineering principles, hands-on coding abilities, and experience building data engineering frameworks. The ideal candidate will have a proven track record of implementing Databricks-based solutions in the healthcare industry, with expertise in data catalog implementation and governance frameworks. About The Role As a Data Architect, you will be responsible for designing and implementing scalable, secure, and efficient data architectures on the Databricks platform. You will lead the technical design of data migration initiatives from legacy systems to modern Lakehouse architecture, ensuring alignment with business requirements, industry best practices, and regulatory compliance. Key Responsibilities Design and implement modern data architectures using Databricks Lakehouse platform Lead the technical design of Data Warehouse/Data Lake migration initiatives from legacy systems Develop data engineering frameworks and reusable components to accelerate delivery Establish CI/CD pipelines and infrastructure-as-code practices for data solutions Implement data catalog solutions and governance frameworks Create technical specifications and architecture documentation Provide technical leadership to data engineering teams Collaborate with cross-functional teams to ensure alignment of data solutions Evaluate and recommend technologies, tools, and approaches for data initiatives Ensure data architectures meet security, compliance, and performance requirements Mentor junior team members on data architecture best practices Stay current with emerging technologies and industry trends Qualifications Extensive experience in data architecture design and implementation Strong software engineering background with expertise in Python or Scala Proven experience building data engineering frameworks and reusable components Experience implementing CI/CD pipelines for data solutions Expertise in infrastructure-as-code and automation Experience implementing data catalog solutions and governance frameworks Deep understanding of Databricks platform and Lakehouse architecture Experience migrating workloads from legacy systems to modern data platforms Strong knowledge of healthcare data requirements and regulations Experience with cloud platforms (AWS, Azure, GCP) and their data services Bachelor's degree in Computer Science, Information Systems, or related field; advanced degree preferred Technical Skills Programming languages: Python and/or Scala (required) Data processing frameworks: Apache Spark, Delta Lake CI/CD tools: Jenkins, GitHub Actions, Azure DevOps Infrastructure-as-code (optional): Terraform, CloudFormation, Pulumi Data catalog tools: Databricks Unity Catalog, Collibra, Alation Data governance frameworks and methodologies Data modeling and design patterns API design and development Cloud platforms: AWS, Azure, GCP Container technologies: Docker, Kubernetes Version control systems: Git SQL and NoSQL databases Data quality and testing frameworks Optional - Healthcare Industry Knowledge Healthcare data standards (HL7, FHIR, etc.) Clinical and operational data models Healthcare interoperability requirements Healthcare analytics use cases About Rackspace Technology We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future. More on Rackspace Technology Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know. Show more Show less

Overview We are seeking an experienced Data Architect with extensive expertise in designing and implementing modern data architectures. This role requires strong software engineering principles, hands-on coding abilities, and experience building data engineering frameworks. The ideal candidate will have a proven track record of implementing Databricks-based solutions in the healthcare industry, with expertise in data catalog implementation and governance frameworks. About The Role As a Data Architect, you will be responsible for designing and implementing scalable, secure, and efficient data architectures on the Databricks platform. You will lead the technical design of data migration initiatives from legacy systems to modern Lakehouse architecture, ensuring alignment with business requirements, industry best practices, and regulatory compliance. Key Responsibilities Design and implement modern data architectures using Databricks Lakehouse platform Lead the technical design of Data Warehouse/Data Lake migration initiatives from legacy systems Develop data engineering frameworks and reusable components to accelerate delivery Establish CI/CD pipelines and infrastructure-as-code practices for data solutions Implement data catalog solutions and governance frameworks Create technical specifications and architecture documentation Provide technical leadership to data engineering teams Collaborate with cross-functional teams to ensure alignment of data solutions Evaluate and recommend technologies, tools, and approaches for data initiatives Ensure data architectures meet security, compliance, and performance requirements Mentor junior team members on data architecture best practices Stay current with emerging technologies and industry trends Qualifications Extensive experience in data architecture design and implementation Strong software engineering background with expertise in Python or Scala Proven experience building data engineering frameworks and reusable components Experience implementing CI/CD pipelines for data solutions Expertise in infrastructure-as-code and automation Experience implementing data catalog solutions and governance frameworks Deep understanding of Databricks platform and Lakehouse architecture Experience migrating workloads from legacy systems to modern data platforms Strong knowledge of healthcare data requirements and regulations Experience with cloud platforms (AWS, Azure, GCP) and their data services Bachelor's degree in Computer Science, Information Systems, or related field; advanced degree preferred Technical Skills Programming languages: Python and/or Scala (required) Data processing frameworks: Apache Spark, Delta Lake CI/CD tools: Jenkins, GitHub Actions, Azure DevOps Infrastructure-as-code (optional): Terraform, CloudFormation, Pulumi Data catalog tools: Databricks Unity Catalog, Collibra, Alation Data governance frameworks and methodologies Data modeling and design patterns API design and development Cloud platforms: AWS, Azure, GCP Container technologies: Docker, Kubernetes Version control systems: Git SQL and NoSQL databases Data quality and testing frameworks Optional - Healthcare Industry Knowledge Healthcare data standards (HL7, FHIR, etc.) Clinical and operational data models Healthcare interoperability requirements Healthcare analytics use cases About Rackspace Technology We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future. More on Rackspace Technology Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know. Show more Show less

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Collibra Data Governance Good to have skills : Machine Learning Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. Your typical day will involve collaborating with teams to develop innovative solutions and ensure seamless application functionality. Roles & Responsibilities: - Expected to be an SME - Collaborate and manage the team to perform - Responsible for team decisions - Engage with multiple teams and contribute on key decisions - Provide solutions to problems for their immediate team and across multiple teams - Lead the implementation of new technologies for enhanced application performance - Conduct regular code reviews and provide constructive feedback to team members - Stay updated on industry trends and best practices to drive continuous improvement Professional & Technical Skills: - Must To Have Skills: Proficiency in Collibra Data Governance - Good To Have Skills: Experience with Machine Learning - Strong understanding of data governance principles and best practices - Hands-on experience in implementing data governance frameworks - Ability to analyze complex data sets and derive actionable insights - Excellent communication and interpersonal skills for effective collaboration Additional Information: - The candidate should have a minimum of 5 years of experience in Collibra Data Governance - This position is based at our Mumbai office - A 15 years full-time education is required 15 years full time education Show more Show less

About Evernorth Evernorth℠ exists to elevate health for all, because we believe health is the starting point for human potential and progress. As champions for affordable, predictable and simple health care, we solve the problems others don’t, won’t or can’t. Our innovation hub in India will allow us to work with the right talent, expand our global footprint, improve our competitive stance, and better deliver on our promises to stakeholders. We are passionate about making healthcare better by delivering world-class solutions that make a real difference. We are always looking upward. And that starts with finding the right talent to help us get there. Position Overview Work with data governance products to assist Product Owner(s) with guiding functionality and content development with our business and engineering partners. Works daily with our delivery team partners to gain functionality to build trust in data by ensuring quality, accuracy across an organization. Work daily with partners to understand use case and necessary quality checks to govern the data. Works daily with our data stewards and data owners to onboard and train on data governance platforms and concepts. Qualifications Required Skills: Ability to lead functional development and tool on boarding meetings documenting decisions and issues Ability to translate business data governance requirements into technical requirements to meet multiple business needs Strong analytical, creative problem solving, and process management skills Ability to work with various data assets and provide insight into the data Ability to plan and prioritize own work effectively to achieve set end results Excellent attention to detail Excellent oral, written & presentation communication skills Ability to accept ambiguity, open to new ideas; willing to test and fail; and attempt new processes Ability to influence peers and subordinates to modify behaviors and provide support for the implementation and adoption of data governance and metadata strategy and practices. Ability to work independently and as a part of a team with a positive attitude for team goals. Ability to deal with multiple time zones Proactive flexible attitude with a desire to learn new skills in the growing field of data governance Agile Experience a plus. Required Experience & Education 8 -11 Years of Experience Experience (3-4+ years working experience) with data governance, constructs including technical and business metadata. Understanding of structured and semi-structured data, data quality knowledge Strong ability to drive connections with a wide variety of data platforms including AWS (Databricks, Teradata, Snowflake, Kafka), Azure, DB2 and SQL Server, etc. Knowledgeable on firewalls is a plus. Experience in using BI reporting tool is a plus. Experience with Collibra data governance products, Healthcare Industry data and/or data governance regulations and controls is a plus. Tooling: Excel, Agile knowlage like Jira or Rally, SQL knowledge, Tableau, other reporting tools, Experience with Data Governance Tools (Collibra DQ & Collibra Data Inteligence ) Alation or similar desired Location & Hours of Work Full-time position, working 40 hours per week. Expected overlap with US hours as appropriate Primarily based in the Innovation Hub in Hyderabad, India in a hybrid working model (3 days WFO and 2 days WAH) Equal Opportunity Statement Evernorth is an Equal Opportunity Employer actively encouraging and supporting organization-wide involvement of staff in diversity, equity, and inclusion efforts to educate, inform and advance both internal practices and external work with diverse client populations. About Evernorth Health Services Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives. Show more Show less

We are looking for a Solution Architect to join our team and work on innovative projects. Job role / Specialty: Solution Architect - Data Platforms Location: Bengaluru, Karnataka - Onsite Duration: 12 months contract Experience: 15+ years Service: Data & Technology Transformation Service area: Data Platforms Required skills: Required Skills: Technical Expertise:  Exposure to data lineage tools  Knowledge of ETL tools and cloud platforms (e.g., Google Cloud Platform, AWS, Azure).  Exposure in data modeling (conceptual, logical, physical) and metadata management. Analytical and Architectural Skills:  Ability to analyze complex systems and create scalable enterprise-level architectures.  Ability in creating and managing artifacts like data flow diagrams, architecture blueprints, and domain interaction models. Collaboration and Communication:  Proven ability to work with cross-functional teams, including business and IT stakeholders, to translate business needs into technical solutions.  Documentation and presentation skills to communicate architecture strategies Nice to have skills:  Hands-on experience with data governance tools like Collibra. Cloud platforms (e.g., Google Cloud Platform, AWS, Azure). Kindly share your profiles to sam.careits@gmail.com || sudheer@careits.com Job Types: Full-time, Contractual / Temporary Contract length: 24 months Pay: ₹1,500,000.00 - ₹2,500,000.00 per year Schedule: Day shift Monday to Friday Work Location: In person

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

About The Job Sanofi is a global life sciences company committed to improving access to healthcare and supporting the people we serve throughout the continuum of care. From prevention to treatment, Sanofi transforms scientific innovation into healthcare solutions, in human vaccines, rare diseases, multiple sclerosis, oncology, immunology, infectious diseases, diabetes and cardiovascular solutions and consumer healthcare. More than 110,000 people in over 100 countries at Sanofi are dedicated to making a difference on patients’ daily life, wherever they live and enabling them to enjoy a healthier life. As a company with a global vision of drug development and a highly regarded corporate culture, Sanofi is recognized as one of the best pharmaceutical companies in the world and is pioneering the application of Artificial Intelligence (AI) with strong commitment to develop advanced data standards to increase reusability & interoperability and thus accelerate impact on global health. The R&D Data Office serves as a cornerstone to this effort. Our team is responsible for cross-R&D data strategy, governance, and management. We sit in partnership with Business and Digital, and drive data needs across priority and transformative initiatives across R&D. Team members serve as advisors, leaders, and educators to colleagues and data professionals across the R&D value chain. As an integral team member, you will be responsible for defining how R&D's structured, semi-structured and unstructured data will be stored, consumed, integrated / shared and reported by different end users such as scientists, clinicians, and more. You will also be pivotal in the development of sustainable mechanisms for ensuring data are FAIR (findable, accessible, interoperable, and reusable). Position Summary The R&D Data Modeler develops conceptual and logical data models for initiatives, programs, and cross-R&D capabilities. This role is critical for creation of data models and ontologies, and upkeep of models even beyond the conclusion of a project. Data modelers will apply and assist in the definition and governance of data modelling and design standards, tools, best practices, and related development of any R&D data capability. Main Responsibilities Engage in data management and analytics projects; understand, advise, and execute on data flow optimization (e.g., data capture, integration and use across R&D) Understand the data-related needs for various cross-R&D capabilities (E.g., data catalog, master data management etc) and associated initiatives Design conceptual and logical data models and data dictionaries/ontologies to cater to R&D business needs and functional requirements; lead validation of physical data models Interact with business, R&D Digital, and other data collaborators to translate needs into data solutions Understand market trends for data modelling tools and metadata management capabilities; provides input into selection of tools and any necessary migration into company’s environment Understand data governance policies, standards and procedures for R&D data Serve as point of contact for data integration topics within solutions (e.g., technology), from source systems to data consumers; define process, tools, and testing requirements Maintain modelling and naming standards, and data harmonization, metadata management, and source-to-target data mapping documentation Evaluate and influence projects while serving as “voice-of-business”; map systems/interfaces for data management, set standards for future state, and close gap from current-to-future state Serve as technical and data consultant for R&D initiatives with major platforms/technology implementations Maintain documentation and act as an expert on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. for R&D functions Educate and guide R&D teams on standards and information management principles, methodologies, best practices, etc. Deliverables Conduct requirements gathering from business analysts, data scientists, and other stakeholders Formulate strategies, and query optimizations to enhance data retrieval speed Develop complex and scalable data models aligned to organization’s long term strategic goals Formulate data governance frameworks, policies, and standards Establish best practices for data modeling ensuring interoperability among systems, applications & data sources About you Experience: 5+ years of experience in business data management, information architecture, technology or other related field Functional skills: Demonstrated ability to understand end-to-end data use and business needs Knowledge of R&D data and data domains (e.g., across research, clinical, regulatory etc) Experience with creating and applying data modelling best practices and naming conventions Strong analytical problem-solving skills Demonstrated strong attention to detail, quality, time management and customer focus Excellent written and oral communications skills Strong networking, influencing and negotiating skills and superior problem-solving skills Demonstrated willingness to make decisions and to take responsibility for such Excellent interpersonal skills (team player) Technical Skills Experience with data management practices and technologies (e.g., Collibra, Informatica etc) Familiar with databases (relational, dimensional, NoSQL, etc) and concepts of data integrity Strong knowledge of data architecture (e.g., data lake, data virtualization, hubs etc) and modelling (e.g., 3nf etc) is required Experience in big data infrastructures (E.g., Hadoop, NOSQL etc) Experience with SDLC and pharma R&D platforms; experience with requirements gathering, system design, and validation/quality/compliance requirements Experience managing technology and/or data warehouse projects Familiarity with relationship databases and entity-relationship data modelling Experience with hierarchical data models from conceptualization to database optimization Education: Bachelor’s in Computer Science, Engineering, Mathematics, Statistics, or related; Masters preferred Languages: English Pursue Progress . Discover Extraordinary . Progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. You can be one of those people. Chasing change, embracing new ideas and exploring all the opportunities we have to offer. Let’s pursue progress. And let’s discover extraordinary together. At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com! null Show more Show less

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

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

About Amgen Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. About The Role Role Description: You will play a key role in the implementation and adoption of the data governance framework which will modernize Amgen's data ecosystem, positioning Amgen as a leader in biopharma innovation. This role leverages state-of-the-art technologies, including Generative AI, Machine Learning, and integrated data. This role involves working closely with business stakeholder and data analysts to ensure implementation and adoption of the data governance framework. You will collaborate with Data Product Owners, Data Stewards and technology teams to increase the trust and reuse of data across Amgen. Roles & Responsibilities: Responsible for the execution of data governance framework for a given domain of expertise (Research, Development, Supply Chain, etc.). Contribute to the operationalization of the Enterprise data governance framework and aligning broader stakeholder community with their data governance needs, including data quality, data access controls, compliance with privacy and security regulations, foundational master data management, data sharing, communication and change management. Works with Enterprise MDM and Reference Data to enforce standards and data reusability. Contribute to the cross functional alignment in his/her domain(s) of expertise to ensure adherence to Data Governance principles. Maintain documentation on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. for assigned domains. Partner with business teams to identify compliance requirements with data privacy, security, and regulatory policies for the assigned domains Jointly with Technology teams, business functions, and enterprise teams (e.g., MDM, Enterprise Data Fabric, etc.) delivers data foundations . Build strong relationship with key business leads and partners to ensure their needs are met. Functional Skills: Must-Have Functional Skills: Technical skills (Advanced SQL, Python etc) with knowledge of Pharma processes with specialization in a domain (e.g., Research, Clinical Trials, Commercial, etc.) Experience of working with or supporting systems used to data governance framework. E.g. Collibra, Alation General knowledge of data management, common data models, metadata management, data quality, master data management, data stewardship, data protection, etc. Experience with data products development life cycle, including the enablement of data dictionaries, business glossary to increase data products reusability and data literacy. Customer focused with excellent written and verbal communication skills who can confidently work with internal Amgen business stakeholders and external service partners on business process and technology topics Excellent problem-solving skills and a committed attention to detail in finding solutions Good-to-Have Functional Skills: Experience with Agile software development methodologies (Scrum) Soft Skills: Excellent analytical skills Ability to work effectively with global, virtual teams Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Ability to build business relationships and understand end-to-end data use and needs. Strong verbal and written communication skills Basic Qualifications: Minimum experience with 5 - 8 years of experience in Business, Engineering, IT or related field EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation. Show more Show less

About Amgen Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. About The Role Role Description: You will play a key role in the implementation and adoption of the data governance framework which will modernize Amgen's data ecosystem, positioning Amgen as a leader in biopharma innovation. This role leverages state-of-the-art technologies, including Generative AI, Machine Learning, and integrated data. This role involves working closely with business stakeholders and data analysts to ensure implementation and adoption of the data governance framework. You will collaborate with Data Stewards to increase the trust and reuse of data across Amgen. Roles & Responsibilities: Contribute to the data governance and data management framework implementation for a given domain of expertise (Research, Development, Supply Chain, etc.). Assess and document with the stakeholder community 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. Maintain documentation on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. for assigned domains. Partner with business teams to identify compliance requirements with data privacy, security, and regulatory policies for the assigned domains Jointly with Technology teams, business functions, and enterprise teams (e.g., MDM, Enterprise Data Fabric, etc.) delivers data foundations . Functional Skills: Must-Have Functional Skills: General knowledge of data management, common data models, metadata management, data quality, master data management, data stewardship, data protection, etc. General knowledge with data products development life cycle, including the enablement of data dictionaries, business glossary to increase data products reusability and data literacy. Customer focused with excellent written and verbal communication skills who can confidently work with internal Amgen business stakeholders and external service partners on business process and technology topics Excellent problem-solving skills and a committed attention to detail in finding solutions Good-to-Have Functional Skills: Knowledge of Pharma processes with specialization in a domain (e.g., Research, Clinical Trials, Commercial, etc.) Experience of working with or supporting systems used for data management. E.g. Collibra, Ataccama Data Quality platform. Experience with Agile software development methodologies (Scrum) Soft Skills: Good analytical skills Ability to work effectively with global, virtual teams Team-oriented, with a focus on achieving team goals Ability to build business relationships and understand end-to-end data use and needs. Good verbal and written communication skills Basic Qualifications: Minimum Experience with 2 - 5 years of experience in Business, Engineering, IT or related field EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation. Show more Show less

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers. Area Data Catalog - Collibra CoE Data Governance Grade Associate/Sr. Associate # of people 6 Skill Set Collibra Technical Lead, Workflow Development, Glossary, Catalog and Lineage Development on Collibra Location Bangalore/Gurgaon YoE 6-9 Mandatory Skill Set- Informatica Axon/EDC or Purview, Collibra Developer Preferred Skill Set-Informatica Axon/EDC Or Purview, Collibra Developer Year of experience required- 4-9 Years Qualifications-Btech/MBA/MCA Education (if blank, degree and/or field of study not specified) Degrees/Field Of Study Required Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Collibra Data Governance, Electronic Data Capture (EDC) Optional Skills Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date Show more Show less

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers. Area Data Catalog - Collibra CoE Data Governance Grade Associate/Sr. Associate # of people 6 Skill Set Collibra Technical Lead, Workflow Development, Glossary, Catalog and Lineage Development on Collibra Location Bangalore/Gurgaon YoE 6-9 Mandatory Skill Set- Informatica Axon/EDC or Purview, Collibra Developer Preferred Skill Set-Informatica Axon/EDC Or Purview, Collibra Developer Year of experience required- 4-9 Years Qualifications-Btech/MBA/MCA Education (if blank, degree and/or field of study not specified) Degrees/Field Of Study Required Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Electronic Data Capture (EDC), Informatica Axon Data Governance Optional Skills Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date Show more Show less

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential. We are seeking an experienced Senior Data Modeler to support and enhance our enterprise data architecture. You will play a pivotal role in designing and maintaining robust, scalable data models while driving data strategy initiatives and collaborating across teams to meet business requirements. Responsibilities Assist in establishing, maintaining, and evolving information architecture best practices, guidelines, principles, and standards aligned with the data strategy team's vision Drive data modeling initiatives, and support the architecture, design, and development of overall data architecture Develop and maintain conceptual, logical, and physical data models, ensuring compliance with industry standards and following Novartis guidelines Capture and maintain metadata using the enterprise data catalog solution Review and evaluate proposed data models in packaged or commercial applications before purchase Mentor and guide individuals on data strategy directives, principles, and standards within the data community Ensure adherence to Security and Compliance policies and procedures within the scope of enterprise information architecture Collaborate with business partners, IT teams, architecture teams, and contractors to design and prepare data models that meet business requirements Define and promote compliance with best practices, including participation in data design reviews throughout the development lifecycle Requirements A university degree equivalent to BS/MS level in Computer or Life Sciences 5+ years of experience as a Business Analyst with expertise in business process reengineering, user requirements gathering, workshop facilitation techniques, and change management Proficiency in Data Analytics and SQL Expertise in Data Modeling with the ability to create Erwin diagrams Knowledge of DWBI (Data Warehousing and Business Intelligence) Excellent verbal and written communication skills in English Nice to have 2+ years of experience in the pharmaceutical industry, preferably within the commercial IT function Familiarity with Agile methodologies and team coordination Understanding of Collibra software We offer Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications Opportunity to share your ideas on international platforms Sponsored Tech Talks & Hackathons Unlimited access to LinkedIn learning solutions Possibility to relocate to any EPAM office for short and long-term projects Focused individual development Benefit package: Health benefits Retirement benefits Paid time off Flexible benefits Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)

About the job Sanofi is a global life sciences company committed to improving access to healthcare and supporting the people we serve throughout the continuum of care. From prevention to treatment, Sanofi transforms scientific innovation into healthcare solutions, in human vaccines, rare diseases, multiple sclerosis, oncology, immunology, infectious diseases, diabetes and cardiovascular solutions and consumer healthcare. More than 110,000 people in over 100 countries at Sanofi are dedicated to making a difference on patients’ daily life, wherever they live and enabling them to enjoy a healthier life. As a company with a global vision of drug development and a highly regarded corporate culture, Sanofi is recognized as one of the best pharmaceutical companies in the world and is pioneering the application of Artificial Intelligence (AI) with strong commitment to develop advanced data standards to increase reusability & interoperability and thus accelerate impact on global health. The R&D Data Office serves as a cornerstone to this effort. Our team is responsible for cross-R&D data strategy, governance, and management. We sit in partnership with Business and Digital, and drive data needs across priority and transformative initiatives across R&D. Team members serve as advisors, leaders, and educators to colleagues and data professionals across the R&D value chain. As an integral team member, you will be responsible for defining how R&D's structured, semi-structured and unstructured data will be stored, consumed, integrated / shared and reported by different end users such as scientists, clinicians, and more. You will also be pivotal in the development of sustainable mechanisms for ensuring data are FAIR (findable, accessible, interoperable, and reusable). Position Summary: The R&D Data Modeler develops conceptual and logical data models for initiatives, programs, and cross-R&D capabilities. This role is critical for creation of data models and ontologies, and upkeep of models even beyond the conclusion of a project. Data modelers will apply and assist in the definition and governance of data modelling and design standards, tools, best practices, and related development of any R&D data capability. Main responsibilities: Engage in data management and analytics projects; understand, advise, and execute on data flow optimization (e.g., data capture, integration and use across R&D) Understand the data-related needs for various cross-R&D capabilities (E.g., data catalog, master data management etc) and associated initiatives Design conceptual and logical data models and data dictionaries/ontologies to cater to R&D business needs and functional requirements; lead validation of physical data models Interact with business, R&D Digital, and other data collaborators to translate needs into data solutions Understand market trends for data modelling tools and metadata management capabilities; provides input into selection of tools and any necessary migration into company’s environment Understand data governance policies, standards and procedures for R&D data Serve as point of contact for data integration topics within solutions (e.g., technology), from source systems to data consumers; define process, tools, and testing requirements Maintain modelling and naming standards, and data harmonization, metadata management, and source-to-target data mapping documentation Evaluate and influence projects while serving as “voice-of-business”; map systems/interfaces for data management, set standards for future state, and close gap from current-to-future state Serve as technical and data consultant for R&D initiatives with major platforms/technology implementations Maintain documentation and act as an expert on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. for R&D functions Educate and guide R&D teams on standards and information management principles, methodologies, best practices, etc. Deliverables Conduct requirements gathering from business analysts, data scientists, and other stakeholders Formulate strategies, and query optimizations to enhance data retrieval speed Develop complex and scalable data models aligned to organization’s long term strategic goals Formulate data governance frameworks, policies, and standards Establish best practices for data modeling ensuring interoperability among systems, applications & data sources 3. About you Experience : 5+ years of experience in business data management, information architecture, technology or other related field Functional skills: Demonstrated ability to understand end-to-end data use and business needs Knowledge of R&D data and data domains (e.g., across research, clinical, regulatory etc) Experience with creating and applying data modelling best practices and naming conventions Strong analytical problem-solving skills Demonstrated strong attention to detail, quality, time management and customer focus Excellent written and oral communications skills Strong networking, influencing and negotiating skills and superior problem-solving skills Demonstrated willingness to make decisions and to take responsibility for such Excellent interpersonal skills (team player) Technical Skills Experience with data management practices and technologies (e.g., Collibra, Informatica etc) Familiar with databases (relational, dimensional, NoSQL, etc) and concepts of data integrity Strong knowledge of data architecture (e.g., data lake, data virtualization, hubs etc) and modelling (e.g., 3nf etc) is required Experience in big data infrastructures (E.g., Hadoop, NOSQL etc) Experience with SDLC and pharma R&D platforms; experience with requirements gathering, system design, and validation/quality/compliance requirements Experience managing technology and/or data warehouse projects Familiarity with relationship databases and entity-relationship data modelling Experience with hierarchical data models from conceptualization to database optimization Education : Bachelor’s in Computer Science, Engineering, Mathematics, Statistics, or related; Masters preferred Languages : English Pursue Progress . Discover Extraordinary . Progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. You can be one of those people. Chasing change, embracing new ideas and exploring all the opportunities we have to offer. Let’s pursue progress. And let’s discover extraordinary together. At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com! null

India - Hyderabad JOB ID: R-216592 LOCATION: India - Hyderabad WORK LOCATION TYPE: On Site DATE POSTED: May. 30, 2025 CATEGORY: Information Systems ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. ABOUT THE ROLE Role Description: The Data Compliance Analyst will be responsible formaintaining data standards, policies,StandardOperating Procedures (SOPs), defined by data owners. These standards, policies, and SOPs will govern sensitive data (e.g., PII) across the enterprise. This data role will also audit security access controls on sensitive data in the different data platforms to ensure Product Teams adhere to the data policies, standards and SOPs. Roles & Responsibilities: Responsible for maintaining data standards, policies, SOPs, by partnering with DataManagement Platforms team, to enable technology to discover, tag, and generate metadata to manage data access controls. Responsible for operationalizing the data access controls and in partnership with functional data owners and technology teams, ensure data access controls, compliance with privacy and security regulations are enforced. Maintain policies and ensures compliance with data privacy, security, and regulatory policies Publish metrics to measure effectiveness and drive adoption of Data Access policies and standards, that will be applied to mitigate identified risks across the data lifecycle (e.g., capture / production, aggregation / processing, sharing, reporting / consumption). Functional Skills: Must-Have Skills: Technical skills with knowledge of Pharma processes and data privacy. 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 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 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 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 Strong attention to detail, quality, time management and customer focus. Basic Qualifications: Bachelor’s 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 EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request and accommodation.

India - Hyderabad JOB ID: R-216590 LOCATION: India - Hyderabad WORK LOCATION TYPE: On Site DATE POSTED: May. 30, 2025 CATEGORY: Information Systems ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. ABOUT THE ROLE Role Description: You will play a key role in the implementation and adoption of the data governance framework which will modernize Amgen's data ecosystem, positioning Amgen as a leader in biopharma innovation. This role leverages state-of-the-art technologies, including Generative AI, Machine Learning, and integrated data. This role involves working closely with business 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: Bachelor’s 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 EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers. Area Data Catalog - Collibra CoE Data Governance Grade Associate/Sr. Associate # of people 6 Skill Set Collibra Technical Lead, Workflow Development, Glossary, Catalog and Lineage Development on Collibra Location Bangalore/Gurgaon/kolkata YoE 6-9 Mandatory Skill Set- Informatica Axon/EDC or Purview, Collibra Developer Preferred Skill Set-Informatica Axon/EDC Or Purview, Collibra Developer Year of experience required- 4-9 Years Qualifications-Btech/MBA/MCA Education (if blank, degree and/or field of study not specified) Degrees/Field Of Study Required Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Collibra Data Governance, Electronic Data Capture (EDC) Optional Skills Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date Show more Show less

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential. We are seeking an experienced Senior Data Modeler to support and enhance our enterprise data architecture. You will play a pivotal role in designing and maintaining robust, scalable data models while driving data strategy initiatives and collaborating across teams to meet business requirements. Responsibilities Assist in establishing, maintaining, and evolving information architecture best practices, guidelines, principles, and standards aligned with the data strategy team's vision Drive data modeling initiatives, and support the architecture, design, and development of overall data architecture Develop and maintain conceptual, logical, and physical data models, ensuring compliance with industry standards and following Novartis guidelines Capture and maintain metadata using the enterprise data catalog solution Review and evaluate proposed data models in packaged or commercial applications before purchase Mentor and guide individuals on data strategy directives, principles, and standards within the data community Ensure adherence to Security and Compliance policies and procedures within the scope of enterprise information architecture Collaborate with business partners, IT teams, architecture teams, and contractors to design and prepare data models that meet business requirements Define and promote compliance with best practices, including participation in data design reviews throughout the development lifecycle Requirements A university degree equivalent to BS/MS level in Computer or Life Sciences 5+ years of experience as a Business Analyst with expertise in business process reengineering, user requirements gathering, workshop facilitation techniques, and change management Proficiency in Data Analytics and SQL Expertise in Data Modeling with the ability to create Erwin diagrams Knowledge of DWBI (Data Warehousing and Business Intelligence) Excellent verbal and written communication skills in English Nice to have 2+ years of experience in the pharmaceutical industry, preferably within the commercial IT function Familiarity with Agile methodologies and team coordination Understanding of Collibra software We offer Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications Opportunity to share your ideas on international platforms Sponsored Tech Talks & Hackathons Unlimited access to LinkedIn learning solutions Possibility to relocate to any EPAM office for short and long-term projects Focused individual development Benefit package: Health benefits Retirement benefits Paid time off Flexible benefits Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers. Area Data Catalog - Collibra CoE Data Governance Grade Associate/Sr. Associate # of people 6 Skill Set Collibra Technical Lead, Workflow Development, Glossary, Catalog and Lineage Development on Collibra Location Bangalore/Gurgaon YoE 6-9 Mandatory Skill Set- Informatica Axon/EDC or Purview, Collibra Developer Preferred Skill Set-Informatica Axon/EDC Or Purview, Collibra Developer Year of experience required- 4-9 Years Qualifications-Btech/MBA/MCA Education (if blank, degree and/or field of study not specified) Degrees/Field Of Study Required Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Collibra Data Governance, Electronic Data Capture (EDC) Optional Skills Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date Show more Show less

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers. Area Data Catalog - Collibra CoE Data Governance Grade Associate/Sr. Associate # of people 6 Skill Set Collibra Technical Lead, Workflow Development, Glossary, Catalog and Lineage Development on Collibra Location Bangalore/Gurgaon YoE 6-9 Mandatory Skill Set- Informatica Axon/EDC or Purview, Collibra Developer Preferred Skill Set-Informatica Axon/EDC Or Purview, Collibra Developer Year of experience required- 4-9 Years Qualifications-Btech/MBA/MCA Education (if blank, degree and/or field of study not specified) Degrees/Field Of Study Required Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Collibra Data Governance, Electronic Data Capture (EDC) Optional Skills Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date Show more Show less

Job Title: Consultant - Data Marketplace Career Level - C2 Introduction to role We are recruiting for a Software Engineer for our Data Marketplace team. This is a full-time Grade D role based at our GITC site in Chennai. As part of AstraZeneca’s Enterprise Data Marketplace (EDM) capability, we are seeking a Software Engineer to take ownership of the hands-on engineering of user interfaces, APIs, data models, and workflows using BPMN, Groovy script, and other tools. You will be accountable for the clarity and accuracy of diagrams, excellence in code and test-driven development, and collaboration with the Business Analyst, Project Manager, Scrum Master, and Tech Lead (Chennai-based principal engineer) to ensure effective day-to-day execution of a metrics-driven SDLC. Accountabilities You will need a collaborative delivery approach to be successful. We use Scaled Agile with standard-length program increments (12-14 weeks). You will provide technical leadership throughout our software development lifecycle, from the initial development of a technical design based on a blueprint, right through to hypercare. Do you have a real passion for delivering well-engineered data and analytics solutions that can help improve patients’ lives? If you do, this will make you stand out from other applicants. Essential Skills/Experience Deep understanding and practical knowledge of IDE’s eg Eclipse/PyCharm or any Workflow Designer. Experience of one or more of the following languages: Java, JavaScript, Groovy, Python. Deep understanding and hands-on experience of CICD processes and tooling e.g. GitHub. Proven ability in converting a proposed design into an automated solution. Prior work experience in converting a business workflow into an automated set of actions. Proven knowledge in scripting and a willingness to learn new languages. Hands-on experience in database concepts and fair idea about how data gets stored in the backend and connecting them to the UI. Fantastic written & spoken English, interpersonal skills, and a collaborative approach to delivery. An enthusiasm for great documentation (e.g., high level designs, low level designs, coding standards, Knowledge Base Articles). Desirable Skills/Experience Engineering Degree in IT/Computer Science with minimum 3 years of experience Knowledge and experience of Collibra Data Governance platform. Any exposure to AI models and AI governance is an added advantage Knowledge and experience of 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 & senior stakeholders. Creation of documentation in Confluence. Experience of Agile practices, preferably having been part of an Agile team for several years. When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. At AstraZeneca, our work has a direct impact on patients by transforming our ability to develop life-changing medicines. We empower the business to perform at its peak by combining cutting-edge science with leading digital technology platforms and data. Join us at a crucial stage of our journey in becoming a digital and data-led enterprise. Here you can innovate, take ownership, and explore new solutions in a dynamic environment that encourages lifelong learning and growth. Ready to make an impact? Apply now!

We are seeking an experienced Senior Data Modeler to support and enhance our enterprise data architecture. You will play a pivotal role in designing and maintaining robust, scalable data models while driving data strategy initiatives and collaborating across teams to meet business requirements. Responsibilities Assist in establishing, maintaining, and evolving information architecture best practices, guidelines, principles, and standards aligned with the data strategy team's vision Drive data modeling initiatives, and support the architecture, design, and development of overall data architecture Develop and maintain conceptual, logical, and physical data models, ensuring compliance with industry standards and following Novartis guidelines Capture and maintain metadata using the enterprise data catalog solution Review and evaluate proposed data models in packaged or commercial applications before purchase Mentor and guide individuals on data strategy directives, principles, and standards within the data community Ensure adherence to Security and Compliance policies and procedures within the scope of enterprise information architecture Collaborate with business partners, IT teams, architecture teams, and contractors to design and prepare data models that meet business requirements Define and promote compliance with best practices, including participation in data design reviews throughout the development lifecycle Requirements A university degree equivalent to BS/MS level in Computer or Life Sciences 5+ years of experience as a Business Analyst with expertise in business process reengineering, user requirements gathering, workshop facilitation techniques, and change management Proficiency in Data Analytics and SQL Expertise in Data Modeling with the ability to create Erwin diagrams Knowledge of DWBI (Data Warehousing and Business Intelligence) Excellent verbal and written communication skills in English Nice to have 2+ years of experience in the pharmaceutical industry, preferably within the commercial IT function Familiarity with Agile methodologies and team coordination Understanding of Collibra software Show more Show less