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

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

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

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

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 Research 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 Research 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 Show more Show less

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: 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 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 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 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 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 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 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 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 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 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: The Data Compliance Analyst will be responsible for maintaining data standards, policies, Standard Operating 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 Data Management 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. Show more Show less

Some careers have more impact than others. If you’re looking for further opportunities to develop your career, take the next step in fulfilling your potential right here at HSBC. We are currently seeking an experienced professional to join our team in the role of Data Technology Lead, Data Catalogue & Data Quality. The Opportunity: We are seeking a skilled and driven Data Technology Lead to join the CTO Data Technology team, focusing on enterprise Data Catalogue and Data Quality solutions. This role will be responsible for designing, delivering, and managing modern data control capabilities across the bank’s global footprint. This leadership role is crucial in driving adoption of strategic metadata and quality platforms that enable data governance, regulatory compliance, and operational efficiency. The successful candidate will collaborate closely with Group Chief Data Offices (CDOs), Cybersecurity, Risk, Audit, and business-aligned technology teams to provide technical solutions. What you’ll do: - Lead the design, engineering, and global rollout of strategic Data Catalogue and Data Quality solutions. Partner with Group Data Strategy and CDOs to define control requirements, metadata models, and quality rules frameworks. Own the platform roadmap and architecture for metadata ingestion, automated data discovery, lineage tracing, and data quality scoring. Ensure interoperability with broader data platform architecture. Establish automation pipelines for data standards validation, issue detection, and remediation orchestration at scale. Drive adoption across thousands of Systems of Record (SoRs), Reference Data Masters, and Data Platforms. Ensure adherence to global and local data privacy, residency, and regulatory requirements (e.g., GDPR, BCBS 239, PIPL, etc.). Deliver service-level management, system resilience, and operational excellence for critical metadata and quality services. Drive continuous improvement and technology modernization, including migration to cloud-native or hybrid architectures. Support internal audits, regulator reviews, and compliance reporting related to data controls. Champion engineering best practices and foster a DevSecOps and agile delivery culture within the team. Skills & Experience Required:- 18+ years of relevant experience in data technology or data governance roles, with leadership experience in large-scale metadata and data quality programs. Deep expertise in enterprise metadata management (EMM), data lineage tooling, data quality frameworks, and cataloging systems (e.g., Collibra, PyDQ, Graph Databases) is required. Strong architectural understanding of distributed data platforms, cloud services (e.g., AWS, GCP, Azure), and real-time data pipelines. Experience in regulatory data compliance (e.g., CCAR, BCBS 239), including working with second-line risk and audit teams. Strong understanding of data modeling, data classification, data lifecycle management, and data integration technologies. Leadership experience with matrixed global teams and large-scale platform delivery. Excellent stakeholder engagement skills, able to communicate with both senior business and technical stakeholders. You’ll achieve more when you join HSBC. HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. ***Issued By HSBC Technology (India) Private LTD*** Show more Show less

Introduction In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology Your Role And Responsibilities Create Solution Outline and Macro Design to describe end to end product implementation in Data Platforms including, System integration, Data ingestion, Data processing, Serving layer, Design Patterns, Platform Architecture Principles for Data platform Contribute to pre-sales, sales support through RfP responses, Solution Architecture, Planning and Estimation Contribute to reusable components / asset / accelerator development to support capability development Participate in Customer presentations as Platform Architects / Subject Matter Experts on Big Data, Azure Cloud and related technologies Participate in customer PoCs to deliver the outcomes Participate in delivery reviews / product reviews, quality assurance and work as design authority Preferred Education Master's Degree Required Technical And Professional Expertise Experience in designing of data products providing descriptive, prescriptive, and predictive analytics to end users or other systems Experience in data engineering and architecting data platforms Experience in architecting and implementing Data Platforms Azure Cloud Platform Experience on Azure cloud is mandatory (ADLS Gen 1 / Gen2, Data Factory, Databricks, Synapse Analytics, Azure SQL, Cosmos DB, Event hub, Snowflake), Azure Purview, Microsoft Fabric, Kubernetes, Terraform, Airflow Experience in Big Data stack (Hadoop ecosystem Hive, HBase, Kafka, Spark, Scala PySpark, Python etc.) with Cloudera or Hortonworks Preferred Technical And Professional Experience Experience in architecting complex data platforms on Azure Cloud Platform and On-Prem Experience and exposure to implementation of Data Fabric and Data Mesh concepts and solutions like Microsoft Fabric or Starburst or Denodo or IBM Data Virtualisation or Talend or Tibco Data Fabric Exposure to Data Cataloging and Governance solutions like Collibra, Alation, Watson Knowledge Catalog, dataBricks unity Catalog, Apache Atlas, Snowflake Data Glossary etc Show more Show less

Join our tooling division, focused on uplifting data management, regulatory reporting, and record management capabilities across Macquarie. At Macquarie, our advantage is bringing together diverse people and empowering them to shape all kinds of possibilities. We are a global financial services group operating in 31 markets and with 56 years of unbroken profitability. You’ll be part of a friendly and supportive team where everyone - no matter what role - contributes ideas and drives outcomes. What role will you play? In this role, you will be part of the team implementing our Data Management Framework across Macquarie’s operating and support groups. Are you a talented and driven governance / platform Engineer? Join our Enterprise Data Platforms team to build strategic solutions that enable Macquarie to effectively govern data across the organisation. You will be responsible for developing, maintaining workflows and collibra & platform solutions, ensuring they are scalable and performant. You will work closely with technology and business SMEs to enhance your knowledge and understanding of the data governance domain and related insights. What You Offer Collibra Administration: Install, configure, and maintain Collibra Data Governance Center. Develop and manage workflows, business glossaries, and data dictionaries within Collibra. Collaborate with data stewards and data owners to ensure data governance policies are enforced. Monitor and optimize the performance of the Collibra platform. Platform Engineering: Hands-on experience with AWS cloud platforms and their respective services Proficiency in scripting languages (Python, Shell, etc.) and automation tools. API integration experience , Good SQL experience Experience with containerization and orchestration tools (Docker, Kubernetes). Design, implement, and manage scalable and reliable data platforms. Develop and maintain CI/CD pipelines for data platform deployments. Ensure the security and compliance of data platforms. Monitor platform performance and troubleshoot issues as they arise. Skills & Experience: Stay up-to-date with industry trends and best practices in data governance and platform engineering. Experience working in development roles within Banking and Financial services. Work closely with data engineering, data science, and IT teams to support data initiatives. Provide training and support to users on Collibra and data platform functionalities. In-depth knowledge of data governance principles and best practices. We love hearing from anyone inspired to build a better future with us, if you're excited about the role or working at Macquarie we encourage you to apply. About Technology Technology enables every aspect of Macquarie, for our people, our customers and our communities. We’re a global team that is passionate about accelerating the digital enterprise, connecting people and data, building platforms and applications and designing tomorrow’s technology solutions. Our commitment to diversity, equity and inclusion We are committed to fostering a diverse, equitable and inclusive workplace. We encourage people from all backgrounds to apply and welcome all identities, including race, ethnicity, cultural identity, nationality, gender (including gender identity or expression), age, sexual orientation, marital or partnership status, parental, caregiving or family status, neurodiversity, religion or belief, disability, or socio-economic background. We welcome further discussions on how you can feel included and belong at Macquarie as you progress through our recruitment process. Our aim is to provide reasonable adjustments to individuals who may need support during the recruitment process and through working arrangements. If you require additional assistance, please let us know in the application process. Show more Show less

India - Hyderabad JOB ID: R-213482 LOCATION: India - Hyderabad WORK LOCATION TYPE: On Site DATE POSTED: May. 08, 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 leveragesstate-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.

India - Hyderabad JOB ID: R-213117 LOCATION: India - Hyderabad WORK LOCATION TYPE: On Site DATE POSTED: Apr. 29, 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 45 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: We are seeking a highly skilled, hands- on Senior QA & Test Automation Engineer , will play a critical role in ensuring the accuracy, reliability, and performance of our enterprise data platforms. Reporting to the Test Automation Engineering Manager , you will work at the intersection of data engineering, quality assurance, and automation to validate complex data flows across pipelines , with a special focus on semantic layer validation and GraphQL API testing . This is a hands-on role that demands deep technical proficiency in both manual and automated data validation . You will be responsible for understanding the business logic behind data transformations, validating the flow of data through various systems, and ensuring that semantic and API layers deliver consistent and contract-compliant outputs. You will actively participate in the design and development of automation frameworks , collaborating closely with the QA Manager and engineering teams to ensure testability and maintainability are built into the system from the start. You will also contribute to test strategy, execution planning, and defect lifecycle management , working across cross-functional teams to maintain high standards for data quality. This role is ideal for someone who is passionate about data quality , has hands-on experience with ETL/ELT pipelines , is comfortable working with cloud-native data platforms (AWS, Databricks, etc.) , and has a strong grasp of testing best practices , including API schema validation, CI/CD integration, and semantic layer testing. You’ll have the opportunity to shape and contribute to a modern data quality engineering practice , ensuring that downstream consumers such as analytics teams, business stakeholders, and machine learning models can fully trust the data they rely on. Roles & Responsibilities: Collaborate with the Test Automation Manager to design and implement end-to-end test strategies for data validation, semantic layer testing, and GraphQL API validation. Perform manual validation of data pipelines , including source-to-target data mapping, transformation logic, and business rule verification. Develop and maintain automated data validation scripts using Python and PySpark for both real-time and batch pipelines. Contribute to the design and enhancement of reusable automation frameworks , with components for schema validation, data reconciliation, and anomaly detection. Validate semantic layers (e.g., Looker, dbt models) and GraphQL APIs , ensuring data consistency, compliance with contracts, and alignment with business expectations. Track, manage, and report defects using tools like JIRA , ensuring proper prioritization, root cause analysis, and resolution. Collaborate with Data Engineers, Product Managers, and DevOps teams to integrate tests into CI/CD pipelines and promote shift-left testing practices. Ensure comprehensive test coverage across the data lifecycle, including data ingestion, transformation, delivery, and consumption. Participate actively in QA ceremonies (daily standups, sprint planning, retrospectives), and continuously drive improvements to QA processes and culture. Good-to-Have Skills: Experience with data governance tools such as Apache Atlas, Collibra, or Alation Contributions to internal quality dashboards or data observability systems Awareness of metadata-driven testing approaches and lineage-based validations Experience working with agile Testing methodologies such as Scaled Agile. Familiarity with automated testing frameworks like Selenium, JUnit, TestNG, or PyTest. Must-Have Skills: 6–9 years of experience in QA roles, with at least 3+ years focused on ETL/Data Pipeline Testing in cloud-native environments. Strong in SQL, Python, and optionally PySpark – comfortable writing complex queries, automation scripts, and custom data validation logic. Practical experience with manual validation of data pipelines, including source-to-target testing and business rule verification. Proven ability to support, maintain, and enhance automation test suites and contribute to framework improvements in collaboration with QA leadership. Experience validating GraphQL APIs, semantic layers (e.g., Looker, dbt), and ensuring schema/data contract compliance. Familiarity with data platforms and tools such as Databricks, AWS Glue, Redshift, Athena, or BigQuery. Strong understanding of QA methodologies, including test planning, test case design, test data management, and defect lifecycle tracking. Proficiency in tools like JIRA, TestRail, or Zephyr for test case and defect management. Skilled in building and automating data quality checks: schema validation, null checks, duplicates, threshold alerts, and data transformation validation. Hands-on with API testing using tools like Postman, pytest, or custom automation frameworks built in Python. Experience working in Agile/Scrum environments, actively participating in QA ceremonies and sprint cycles. Exposure to integrating automated tests into CI/CD pipelines using tools like GitHub Actions, Jenkins, or GitLab CI. Education and Professional Certifications Bachelor’s degree in computer science and engineering preferred, other Engineering field is considered; Master’s degree and 6+ years’ experience Or Bachelor’s degree and 8+ years 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. 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.

India - Hyderabad JOB ID: R-215042 LOCATION: India - Hyderabad WORK LOCATION TYPE: On Site DATE POSTED: May. 08, 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 leveragesstate-of-the-art technologies, including Generative AI, Machine Learning, and integrated data. You will leverage domain, technical and business process expertise to provide exceptional support of Amgen’s data governance framework. This role involves working closely with business stakeholder and data analysts to ensure implementation and adoption of the data governance framework. You will collaborate with Product Data Ownersand data leaders to increase the trust and reuse of data across Amgen. Roles & Responsibilities: Responsible for the adoption of data governance framework implementation for a given domain of expertise (Research, Development, Supply Chain, etc.). Responsible for the operationalization of the Enterprise data governance framework and aligning broader stakeholder community with their data governance needs, including data quality, data access controls, compliance with privacy and security regulations, foundational master data management, data sharing, communication and change management. Works with Enterprise MDM and Reference Data to enforce standards and data reusability. Drives cross functional alignment in his/her domain(s) of expertise to ensure adherence to Data Governance principles. Develops policies for data, metadata, privacy, lineage, access, security, retention, and archival. Maintain documentation on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. for assigned domains. Ensure compliance requirements with data privacy, security, and regulatory policies for the assigned domains Jointly with Technology teams, business functions, and enterprise teams (e.g., MDM, Enterprise Data Fabric, etc.) define the specifications shaping the development and implementation of data foundations. Build strong 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.) In depth experience of working with or supporting systems used to data governance framework. E.g. Collibra, Alation In depth knowledge of data management, common data models, metadata management, data quality, master data management, data stewardship, data protection, etc. In depth experience with data products development life cycle, including the enablement of data dictionaries, business glossary to increase data products reusability and data literacy. Customer focused with excellent written and verbal communication skills who can confidently work with internal Amgen business stakeholders and external service partners on business process and technology topics Ability to manage scrum teams Good-to-Have Functional Skills: Experience of working with data governance councils or forums 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. Excellent interpersonal skills (team player). People management skills either in matrix or direct line function. Strong verbal and written communication skills Basic Qualifications: Minimum 9 - 12 years of experience in Data Science, Artificial Intelligence, Computer Science, or related fields OR 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.

India - Hyderabad JOB ID: R-213473 LOCATION: India - Hyderabad WORK LOCATION TYPE: On Site DATE POSTED: May. 08, 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 leveragesstate-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.

India - Hyderabad JOB ID: R-216593 LOCATION: India - Hyderabad WORK LOCATION TYPE: On Site DATE POSTED: May. 29, 2025 CATEGORY: Information Systems 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 Research 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 Research 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

We are Hiring Data Governance Analyst Level 3 for US based IT Company based in Hyderabad. Candidates with experience in Data Governance can apply. Job Title : Data Governance Analyst Level 3 Location : Hyderabad Experience : 7+ Years CTC : 18 LPA - 20 LPA Working shift : Day shift Description: We are seeking a seasoned and detail-focused Senior Data Governance Analyst (Level 3) to support and drive enterprise-wide data governance initiatives . This position will play a crucial role in implementing and managing data governance frameworks , ensuring data quality , and supporting regulatory compliance efforts across business units. The ideal candidate will bring deep expertise in data governance best practices , data quality management , metadata , and compliance standards within the financial services industry . As a senior team member, the analyst will collaborate closely with data stewards , business stakeholders , and technical teams to ensure consistent, accurate, and trusted use of enterprise data. Key Responsibilities: Implement and enhance data governance policies, standards, and processes across the organization Partner with business and technical teams to define and manage data ownership, stewardship , and accountability models Maintain and improve metadata and data lineage documentation using tools such as Collibra , Alation , or similar platforms Monitor key data quality metrics , conduct root cause analysis , and lead issue resolution efforts Ensure compliance with regulatory data requirements (e.g., BCBS 239, GDPR, CCPA ) Facilitate and lead data governance meetings , working groups, and stakeholder communications Support the creation and deployment of data literacy initiatives across the enterprise Document governance practices and develop reports for audits and executive leadership Serve as a subject matter expert in data governance and promote data management best practices across departments Required Skills & Qualifications: 5+ years of experience in Data Governance , Data Quality , or Data Management roles Proven experience in developing and managing data governance frameworks in complex organizational environments Strong understanding of data quality principles , data standards , and issue management workflows Experience with metadata management , data cataloging , and lineage tracking Proficiency with governance tools like Collibra , Alation , or similar platforms Solid grasp of data compliance and regulatory standards in the financial services sector Excellent communication, stakeholder engagement, and documentation skills Strong analytical thinking and problem-solving capabilities Preferred Qualifications: Experience in banking or financial services environments Understanding of enterprise data architecture , Master Data Management (MDM) , and BI/reporting systems Knowledge of data privacy regulations such as GDPR , CCPA , etc. Experience working within Agile project methodologies For further assistance contact/whatsapp : 9354909517 or write to hema@gist.org.in

Developing and implementing data governance frameworks, policies, and standards. Defining data requirements and classifications. Managing data access and security. Ensuring compliance with regulations and internal policies. Collaborating with stakeholders to promote data governance best practices. Providing guidance and training on data governance policies and procedures. Monitoring and reporting on data governance activities Collibra , SQL , Excel , PowerPoint , Data Engineering, Programming skills Show more Show less

Role & responsibilities Responsibilities: Design, develop, and maintain Collibra workflows tailored to our project's specific needs. Collaborate with cross-functional teams to ensure seamless integration of Collibra with other systems. Educate team members on Collibra's features and best practices. (or) Educate oneself on Collibra's features and best practices. Engage with customers to gather requirements and provide solutions that meet their needs. Stay updated with the latest developments in Collibra and data engineering technologies. Must-Haves: Excellent communication skills in English (reading, writing, and speaking). Background in Data Engineering or related disciplines. Eagerness to learn and become proficient in Collibra and its features. Ability to understand and apply Collibra's use cases within the project scope. Nice-to-Haves: Previous experience with Collibra or similar data cataloguing software. Familiarity with workflow design and optimization. Experience in requirement engineering, particularly in customer-facing roles. Knowledge of other cataloguing software and their integration with Collibra. Preferred candidate profile Nice-to-Haves: Previous experience with Collibra or similar data cataloguing software. Familiarity with workflow design and optimization. Experience in requirement engineering, particularly in customer-facing roles. Knowledge of other cataloguing software and their integration with Collibra.

We're Hiring: Data Governance Specialist | Collibra – Data Stewardship Experience: 6+ Years Employment Type: Contract to Hire: Initial 6+ months, potential for full-time conversion Location: Pune, Chennai, Mumbai Notice Period: Immediate Joiners Shift Timing: 6 PM to 3 AM IST (Must work till 2 PM PST) Key Responsibilities Manage and maintain Collibra Data Catalog , Data Dictionary , and Business Glossaries Implement and support data quality rules , custom lineage stitching , and metadata ingestion processes Participate in workflow creation and configuration within Collibra Collaborate with business stakeholders to maintain high-quality metadata Apply data governance frameworks and ensure regulatory compliance (GDPR, HIPAA, etc.) Support data lifecycle initiatives from creation to archival Work cross-functionally in a Scrum/Agile environment What We’re Looking For 2+ years hands-on experience with Collibra (data steward role preferred) 3+ years in a data governance team or function Strong understanding of data management , data lineage , and DQ best practices Experience with metadata management , lineage stitching , and automating data processes Excellent communication skills (technical and business-facing) Nice to Have Experience or understanding of Master Data Management (MDM) Collibra certifications (Ranger, Expert, etc.) Exposure to tools like Informatica , Azure Purview , Alation , or Tableau Connect with us at shalini.v@saranshinc.com Show more Show less

Responsibilities: 1. Collibra Implementation & Configuration Lead the design, implementation, and customization of the Collibra Data Intelligence Platform to align with enterprise data governance objectives. Configure Collibra Operating Model, including assets, communities, domains, roles, workflows, and policies. Design and deploy custom workflows using Collibra Workflow Designer (BPMN), enabling process automation and governance lifecycle management. 2. Metadata Management & Lineage Define and establish metadata ingestion pipelines for business, technical, and operational metadata from systems across the bank. Integrate Collibra with data cataloguing, ETL tools, data warehouses, BI tools, and cloud platforms (e.g., Snowflake, Azure, Informatica, Power BI). Implement and maintain end-to-end data lineage, including automated and manual capture of data flows and transformations across systems. 3. Data Governance & Policy Enablement Support the Data Governance Council in defining data standards, policies, ownership models, and stewardship programs. Model and operationalize data domains, critical data elements (CDEs), data quality rules, and issue management workflows. Collaborate with data owners, stewards, and custodians to align Collibra use with governance needs, enabling traceability and accountability. 4. Stakeholder Engagement & Business Enablement Act as the primary liaison between business teams, IT, compliance, risk, and regulatory stakeholders to ensure data assets are governed and understood. Conduct workshops and training sessions for Collibra users and administrators, promoting platform adoption and best practices. Translate regulatory and business needs (e.g BCBS 239, Basel III, GDPR) into Collibra data governance capabilities. 5. Integration & Technical Development Develop and maintain REST API and Java-based integrations with upstream and downstream systems (e.g., Informatica, Talend, AWS Glue, ServiceNow). Implement and support Collibra Connect, Collibra DGC API, and third-party tools to automate metadata synchronization. Ensure compatibility and integration with enterprise tools such as Alation, Axon, Purview, and data lake/cloud environments. 6. Operational Oversight & Documentation Monitor platform performance, user adoption, and operational workflows, providing insights and improvements. Maintain detailed documentation of workflows, configurations, integration mappings, and governance models. Develop KPI dashboards for governance effectiveness using Collibra Insights or integrated BI tools. Requirements: Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Management, or a related field. Certifications in Collibra (Ranger, Steward, Developer) are highly desirable. Additional certifications in Data Management (CDMP, DAMA-DMBOK) or cloud data platforms (Azure, AWS) are an advantage. Proven experience as a Collibra Data Consultant with more than 8 years of experience in Banking Industry. Expertise in Collibra Data Intelligence Platform, including: Operating Model Configuration Collibra Workflow Designer (BPMN) Collibra Connect / API / REST Collibra Console and Data Catalog Proficiency in SQL and working knowledge of data modeling and metadata structures. Familiarity with integration tools and platforms: Informatica, Talend, Azure Data Factory, Snowflake, Databricks, ServiceNow, Git. Understanding of data privacy, data lineage, data quality frameworks, and regulatory requirements (BCBS 239, Basel III, GDPR, FATCA, IFRS 9). Exposure to BI and reporting tools: Power BI, Tableau, QlikView, and integration with metadata layers. Strong analytical and problem-solving skills. Excellent communication and stakeholder management skills. Proficiency in tools like JIRA, Confluence. Experience working on Agile/Scrum methodologies. Deep understanding of data governance operating models, including stewardship, ownership, lineage, policy enforcement, and compliance reporting. Experience in banking data domains, such as Retail & Commercial Banking, Risk & Regulatory Reporting, Finance & Treasury, AML/KYC, and Customer 360. Show more Show less

Company Description At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we’ve been doing just that. Our technology helped people put a man on the moon. We are a key partner to some of the largest and highest growth organizations in the world. From energizing the most competitive gaming platforms, to enabling systems to make cities safer and cars smarter and more connected, to powering the data centers behind many of the world’s biggest companies and public cloud, Western Digital is fueling a brighter, smarter future. Binge-watch any shows, use social media or shop online lately? You’ll find Western Digital supporting the storage infrastructure behind many of these platforms. And, that flash memory card that captures and preserves your most precious moments? That’s us, too. We offer an expansive portfolio of technologies, storage devices and platforms for business and consumers alike. Our data-centric solutions are comprised of the Western Digital®, G-Technology™, SanDisk® and WD® brands. Today’s exceptional challenges require your unique skills. It’s You & Western Digital. Together, we’re the next BIG thing in data. Job Description ESSENTIAL DUTIES AND RESPONSIBILITIES Gathering data from diverse sources, including databases, APIs, and web scraping. Possessing deep knowledge of data analytics principles, tools, and technologies. Handling missing values, correcting errors, and ensuring data consistency, data quality, and optimizing data performance. Create and maintain data models that structure and organize data within a domain, ensuring clarity and consistency. Create data products, designed to solve specific business problems within a domain. Performing statistical analysis and modeling to identify trends, patterns, and relationships in the data. Preparing reports, presentations, and dashboards to communicate insights and findings. Using data to identify and solve business problems, improve processes, and make data-driven decisions. Collaborating with cross-functional teams including, Data Engineers, Data scientists, Business Analysts, Solution Architects, IT & Business teams. Document and maintain end to end data flows, Data Lineage, Data Catalog for various data marts. Be a liaison between solution architects, BSA’s and data engineers to ensure compliance to standards of Data integrations, data management and review the data solutions. Stay updated with the latest industry trends and best practices, sharing knowledge and encourage team to continuously improve their skill’s Qualifications REQUIRED Bachelor’s degree or higher in Computer Science or Engineering or related field Minimum 8+ years of experience working with diverse data platform technologies. Experience on any of the data Quality tools like Informatica Data Quality, Atlan, Collibra, etc. Demonstrable experience working with data structures coming from variety of ERP, CRM and other data sources. Experience working with at least one major cloud data platforms like AWS, Azure, Google, etc. Experience working with at least one modern Lakehouse platforms like Databricks, Snowflake, etc. Experience working with Tableau, Power BI, or other Data visualization tools. Develop Entity Relationship Diagrams using and data modeling tools. Functional domain knowledge in Finance, Supply chain with manufacturing background. Responsible for metadata management of data domain, inclusive of data definitions, data catalog, data lineage and documentation of data flow for critical processes, Sox compliance Partner with data governance team and business analysts Maintain in-depth understanding of business functions, processes, and relationships as it relates to data Skills Proven experience in data analysis, business intelligence, or related roles Proficiency in data analysis tools and programming languages (e.g., SQL, Python, R, etc.). Proficiency in statistical analysis techniques and tools. Knowledge of machine learning and data mining techniques is desirable. Ability to analyze, communicate and solve complex problems. Additional Information Western Digital is committed to providing equal opportunities to all applicants and employees and will not discriminate based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person’s gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person’s assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the Equal Employment Opportunity is the Law poster. Western Digital thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. Western Digital is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@wdc.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Based on our experience, we anticipate that the application deadline will be 10/25/2024 , although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline. Show more Show less