Senior Manager, Data Governance Lead - Domain Specific

About the role

Amgen is hiring a Senior Manager, Data Governance Lead for a specific domain (such as Research, Clinical Trials, Commercial, Supply Chain, etc.). The role operationalizes the Enterprise Data Council vision at tactical level, coordinating activities, defining operational deliverables and partnering with senior leadership and other Data Governance leads to align data initiatives with business goals. It also establishes and enforces data governance policies and standards so that data is high quality, reusable and ready to support AI solutions.

Key responsibilities

• Own data governance and data management for a given domain of expertise.
• Manage a team of Data Governance Specialists and Data Stewards for that domain.
• Operationalize the enterprise data governance framework, covering data quality, access controls, privacy and security compliance, master data management, data sharing, communication and change management.
• Work with Enterprise MDM and Reference Data to enforce standards and data reusability.
• Drive cross-functional alignment within the domain to ensure adherence to Data Governance principles.
• Provide expert guidance on business process and system design to support data governance and data/information modelling.
• Maintain documentation and act as an expert on data definitions, standards, flows, legacy structures, common data models and data harmonization.
• Ensure compliance with data privacy, security and regulatory policies.
• Publish metrics to measure effectiveness and drive adoption of governance policies, mitigating risks across the data lifecycle.
• Set enterprise standards for nomenclature, content and structure of information, metadata, glossaries and taxonomies.
• Define specifications for data foundations together with technology teams and business functions.

Required profile

• 12 to 15 years of Information Systems experience.
• 4 years of managerial experience directly managing people and leading teams, projects or programs.
• In-depth knowledge of Pharma processes, preferably specialized in a domain such as Research, Clinical, Commercial or Supply Chain.
• People management skills, either in a matrix or direct-line function.

Required skills

• Data governance principles and technology, with the ability to design and implement Data Governance operating models.
• Data management, common data models, metadata management, data quality, reference and master data management, data stewardship and data protection.
• Experience with data product lifecycles, including data dictionaries and business glossaries.
• Good-to-have: experience with agile methods such as Scaled Agile, project or budget management, and modelling tools such as Visio.