Data Governance Associate Director

Job Description General Summary: The Associate Director, Commercial Data Governance will lead the management and continuous improvement of data governance capabilities across Vertex’s commercial organization. This role will establish standards, policies, processes, and accountability frameworks that improve quality, consistency, accessibility, security, and responsible use of commercial data. Key Responsibilities: Lead the commercial data governance strategy, roadmap, and operating model in alignment with enterprise data governance priorities and commercial business objectives. Define and maintain data governance policies, standards, procedures, and controls for commercial data domains. Establish clear data ownership, stewardship, and accountability across commercial data assets. Partner with data owners and business stakeholders to define critical data elements, business definitions, metadata, data lineage, and data-quality expectations. Develop and monitor data quality rules, scorecards, issue-management processes, and remediation plans for priority commercial data. Facilitate governance forums, including data governance councils and working groups, to drive alignment, decision-making, and issue resolution. Collaborate with Commercial Operations, DTE, Insights & Analytics, Legal, and Compliance teams to ensure governed data supports business needs while meeting regulatory and company requirements. Oversee the documentation and maintenance of commercial data catalogs, glossaries, data standards, and governance artifacts. Identify data risks, gaps, and opportunities for process improvement; recommend practical solutions to strengthen data integrity and usability. Support the adoption of data governance tools, processes, and training programs across the commercial organization. Define and track key performance indicators for data quality, governance maturity, policy adherence, and stakeholder adoption. Guide change-management activities that promote a culture of data accountability and informed, responsible data use. Stay current on evolving data governance practices, life sciences commercial-data trends, privacy requirements, and relevant technology capabilities. Knowledge and Skills: Data governance frameworks and operating models Data quality management, profiling, validation, monitoring, and remediation Data catalog, business glossary, metadata, and data-lineage practices Master data management and reference-data concepts Commercial data domains, including customer, healthcare provider, account, product, sales, market access, and digital engagement data Data governance and catalog platforms, such as Collibra, Alation, Informatica, Microsoft Purview, or similar tools Data analysis and reporting tools, such as SQL, Microsoft Excel, Tableau, Power BI, or similar platforms Customer relationship management and commercial-data platforms, such as Veeva CRM, Salesforce, IQVIA, or comparable systems Data privacy, access controls, information security, and compliance principles Agile, project management, and process-improvement methodologies Education and Experience: Bachelor’s degree in business, information systems, data management, computer science, life sciences, or a related field. Typically 8&#43; years of relevant experience in data governance, data management, commercial operations, analytics, information management, or related discipline. Demonstrated experience building, implementing, or enhancing data governance frameworks, standards, and operating models. Experience supporting commercial data within the pharmaceutical, biotechnology, healthcare, or similarly regulated industry. Strong understanding of data quality management, metadata management, master data management, data lineage, and data stewardship principles. Proven ability to influence and align cross-functional stakeholders, including senior leaders, without direct reporting authority. Experience translating complex data concepts into clear, actionable guidance for business and technical audiences. Strong project management, organizational, communication, and problem-solving skills. Ability to manage multiple priorities in a dynamic, matrixed environment. Commitment to data integrity, privacy, compliance, and responsible data use. At Vertex, we embrace continuous learning and encourage employees to stay informed on advances in AI, technology, automation, and industry trends. We seek talent who bring an external perspective, demonstrate curiosity and sound judgment, and thoughtfully adopt new capabilities that improve decision-making, drive innovation, increase efficiency, and help deliver better outcomes for patients. Pay Range: $157,800 - $236,600 Disclosure Statement: <di