Data Steward

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:

• Bachelors 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