Job description

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 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: The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law. At Vertex, our Total Rewards offerings also include inclusive market-leading benefits to meet our employees wherever they are in their career, financial, family and wellbeing journey while providing flexibility and resources to support their growth and aspirations. From medical, dental and vision benefits to generous paid time off (including a week-long company shutdown in the Summer and the Winter), educational assistance programs including student loan repayment, a generous commuting subsidy, matching charitable donations, 401(k) and so much more. 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 ApplicationAssistance vrtx.com

Requirements

Must-haves

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.
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
Bachelor’s degree in business, information systems, data management, computer science, life sciences, or a related field.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

accessibilitysqlagileai

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off