Data Governance & Data Quality Specialist

• Lead adoption and operationalization of the enterprise data governance framework for assigned domain(s).
• Align and engage a broad stakeholder community on governance needs including data quality, access controls, privacy, security, master data management, and change management.
• Enforce standards and promote data reusability in partnership with Enterprise MDM and Reference Data teams.
• Drive cross-functional alignment to ensure adherence to data governance principles within your domain.
• Develop policies related to data, metadata, privacy, lineage, access, security, retention, and archival.
• Maintain thorough documentation on data definitions, standards, data flows, common data models, and harmonization.
• Ensure compliance with privacy, security, and regulatory requirements in the assigned domain.
• Collaborate with technology, business, and enterprise teams to specify and implement data foundations and governance technologies.
• Build and nurture strong relationships with key business leads and partners to understand and address their data governance needs.

Must-Have Functional Skills

• Advanced technical skills such as SQL and Python with domain knowledge in Pharma (e.g., Research, Clinical Trials, Commercial).
• Experience supporting or working with data governance tools (e.g., Collibra, Alation).
• Deep knowledge of data management concepts including metadata management, data quality, master data management, stewardship, and data protection.
• Experience managing data product lifecycles, including enabling data dictionaries and business glossaries to enhance reusability and literacy.
• Customer-focused communication skills with ability to engage both internal business stakeholders and external service partners.
• Capability to manage scrum teams.

Good-to-Have Functional Skills

• Experience participating in or supporting data governance councils or forums.
• Familiarity with Agile software development practices such as Scrum.

Soft Skills

• Excellent analytical and problem-solving skills.
• Effective in working with global, virtual teams.
• Strong organizational skills, able to manage multiple priorities.
• Team-oriented mindset focused on achieving goals collaboratively.
• Strong interpersonal and relationship-building skills.
• Proven communication skillsboth verbal and written.
• Experience in people management (matrix or direct).

Basic Qualifications

• Master's degree with 8-10 years relevant experience in Data Science, AI, Computer Science, or related fields OR
• Bachelor's degree with 10-14 years relevant experience OR
• Diploma with 14-16 years hands-on experience in Data Science, AI/ML technologies, or related technical domains.