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 concepts
• ERP or Material management systems (MMS) such as SAP or OPM
• 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
• 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, 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:

$162,400 - $243,600

Disclosure Statement:

Flex Designation:

Hybrid-Eligible Or On-Site Eligible

Flex Eligibility Status:

In this Hybrid-Eligible role, you can choose to be designated as: 
1.    Hybrid: work remotely up to two days per week; or select
2.    On-Site: work five days per week on-site with ad hoc flexibility.

Note: The Flex status for this position is subject to Vertex’s Policy on Flex @ Vertex Program and may be changed at any time. 

#LI-Hybrid
 

Company Information

Vertex is a global biotechnology company that invests in scientific innovation.

Vertex is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Vertex is an E-Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.

Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the recruiter or hiring manager, or contact Talent Acquisition at [email protected]