Data Governance

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. 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 Owners and 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:

• Master's degree with years of experience in Data Science, Artificial Intelligence, Computer Science, or related fields OR

• Bachelor's degree with years of experience in Data Science, Artificial Intelligence, Computer Science, or related fields OR

• Diploma with years of hands-on experience in Data Science, AI/ML technologies, or related technical domains

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.