Supply Chain Associate Director, Master Data Management and Data Governance

Job Description The Associate Director, Supply Chain Master Data Management (MDM) and Data Governance (DG) will lead the management and continuous improvement of data governance capabilities across Vertex’s supply chain organization. This role will establish standards, policies, processes, and accountability frameworks that improve quality, consistency, accessibility, security, and responsible use of supply chain data.

Key Responsibilities:

Lead the supply chain data governance strategy, roadmap, and operating model in alignment with enterprise data governance priorities and supply chain business objectives.

Define and maintain data governance policies, standards, procedures, and controls for supply chain data domains.

Establish clear data ownership, stewardship, and accountability across supply chain 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.

Collaborate with Supply Chain, Finance, DTE, CMTO, Quality teams to ensure governed data supports business needs while meeting regulatory and company requirements.

Own the master data management execution process; oversee the offshore resources performing the execution

Perform impact assessments for strategic projects, defining data processes, documentation, governance, and other data related changes required

Oversee the documentation and maintenance of supply chain 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.

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 conceptsERP or Material management systems (MMS) such as SAP or OPMCommercial 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

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+ 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,…