- Responsible for theadoption ofdata governance framework implementation for a given domain ofexpertise(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) ofexpertiseto ensure adherence to Data Governance principles.
- Developspolicies 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 strongrelationshipwith key business leads and partners to ensure their needs aremet.
Functional Skills:
Must-HaveFunctionalSkills:
- Technical skills(Advanced SQL, Pythonetc)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-HaveFunctionalSkills:
- 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
