Data Compliance Analyst

ABOUT THE ROLE

Role Description:

The Data Compliance Analystwillbe responsible formaintainingdata standards, policies,StandardOperatingProcedures(SOPs), defined by data owners. These standards, policies, and SOPswill govern sensitive data (e. g. , PII) across the enterprise. This data role will also audit security access controls on sensitive data in the different data platforms to ensureProduct Teamsadhere to the datapolicies,standardsand SOPs.

Roles & Responsibilities:

• Responsibleformaintainingdata standards, policies, SOPs,by partnering withDataManagement Platforms team, to enable technology to discover, tag, and generate metadata to manage data access controls.
• Responsible for operationalizing thedata access controlsandin partnership with functional data owners and technology teams, ensuredata access controls, compliance with privacy and security regulationsare enforced.
• Maintainpoliciesandensurescompliance with data privacy, security, and regulatory policies
• Publish metrics to measure effectiveness and drive adoption of DataAccesspoliciesand standards, that will be applied to mitigate identified risks across the data lifecycle (e. g. , capture / production, aggregation / processing,sharing,reporting / consumption).

Functional Skills:

Must-Have Skills:

• Technical skills with knowledge of Pharma processesand data privacy.
• 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 ofworking with or supporting systems usedtodata governanceframework.E. g.Collibra, Alation
• Excellent problem-solving skills and committed attention to detail in finding solutions

Good-to-Have Skills:

• Experience with Agile software development methodologies (Scrum)
• Proficiencyin data analysis and quality tools (e. g. , SQL, Excel, Python, or SAS).

Soft Skills:

• Highly organized and able to work under minimal supervision
• 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
• 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
• Strong attention to detail, quality, timemanagementand customer focus.

Basic Qualifications:

• Bachelor s 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