Data Governance & Data Quality Specialist

Job Description

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.