Data Governance & Data Quality Specialist

• 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:

• Masters / Bachelor's degree with 9 - 12 years of experience in Data Science, Artificial Intelligence, Computer Science, or related fields