Data Privacy Specialist

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 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 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.  Create and maintain privacy policies and procedures to protect sensitive data and ensure compliance.
• Conduct regular privacy risk assessments and audits to identify and mitigate potential risks as required
• 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 including GDPR, CCPA, and other relevant legislations.
• 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 leads and partners to ensure their needs are being met

Functional Skills:

Must-Have Functional Skills:

• Technical skills with knowledge of Pharma processes with specialization in a domain (e.g., Research, Clinical Trials, Commercial, etc.)
• In depth knowledge of data management, common data models, metadata management, data quality, master data management, data stewardship, data protection, etc.  Strong understanding of data protection laws and regulations, including GDPR, CCPA, and other relevant legislations.
• 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
• In depth 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 of working with data governance councils or forums
• Experience with Agile software development methodologies (Scrum)
• Proficiency in data analysis and quality tools (e.g., SQL, Excel, Python, or SAS)
• 3-5 years of experience in data privacy, compliance, or a related field.

Soft Skills:

• Integrity: Commitment to maintaining the highest ethical standards and protecting confidential information.
• Adaptability: Ability to adapt to changing regulations and emerging privacy challenges.
• Proactivity: Self-motivated with a proactive approach to identifying and addressing privacy issues.
• Leadership: Strong leadership skills and the ability to influence and drive change within the organization.
• 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:

• Any Degree and 9-13 years of experience