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.
- 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.
- Experience participating in or supporting data governance councils or forums.
- Familiarity with Agile software development practices such as Scrum.
- 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 skills—both verbal and written.
- Experience in people management (matrix or direct).
- 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.
Must-Have Functional Skills
Good-to-Have Functional Skills
Soft Skills
Basic Qualifications
Vacancy posted 24 days ago
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