Senior Director, Enterprise Data Management & Governance Lead

Reports to:

Exec Director, Data, AI & Innovation

Location:

Remote

NAP has adopted an on-demand workplace philosophy. This remote role requires in-person attendance at the NAP office in the Philadelphia area based on business needs and work requirements rather than a set office schedule.

At New Amsterdam Pharma, we’re built to go beyond. We bring together passionate people who challenge convention, act with purpose, and share the belief that patients deserve better. Whatever your role, you’ll contribute to a shared mission to advance what’s possible in cardiometabolic care and help shape what comes next for patients.

This role exists to make our data provable on demand and fast to get, so that proving it never requires a fire drill. You will own enterprise data governance across New Amsterdam, master data, and the data layer of the cloud data platform that Data, AI & Innovation operates on Google Cloud. All three, deliberately: standards that live only in policy documents do not survive an inspection or a launch, and a platform without standards produces numbers nobody will defend.

We are looking for an enterprise data management leader who has built data governance and data management capabilities from the ground up and run the resulting function. You will bring an enterprise-wide perspective, translate cross-functional needs into a cohesive operating model, and roll up your sleeves to build the capabilities, processes, and controls needed to put it into practice.

Data, AI & Innovation owns and operates the data platform; IT owns the source systems, and the business functions own the data within them. This role sets the standards those systems are expected to meet and governs the data flowing from them.

You will be measured as much on how fast people get trustworthy data as on how well it is controlled.

• Build and run the enterprise data governance and data management function, including strategy, policy, operating processes, and the federated stewardship model, sequenced against regulatory and launch milestones. You will co-chair the Data Governance Council with Quality Assurance and drive cross-functional accountability for enterprise data.
• Metadata, business glossary, and end-to-end lineage across our clinical, commercial, and corporate data.
• The data quality program, with domain scorecards reported to the executive team.
• Master data end to end across clinical, commercial, and regulatory domains.
• GxP readiness for the data layer. The platform is not in validated scope today. As our data increasingly supports regulated decisions, that will change — and this role decides where a validated zone belongs, defines the criteria that trigger it, and designs the boundary before we need it rather than retrofitting it under inspection pressure.
• Data management practice and the platform's data layer. Modeling standards, SLAs for certified data products, and governance of the CRO and vendor data supply chain. You will be hands‑on in architecture reviews, access model design, and data quality investigations.
• The commercial data foundation ahead of US launch, including the controls behind transparency reporting and the commercial–medical firewall.
• The partner data interface — net sales, channel, and safety data exchange — where it feeds revenue recognition, supply planning, and pharmacovigilance.
• Data governance for AI: provenance, controls on what enters models, and EU AI Act readiness.
• You will work as a peer to Security, Legal, Privacy, Compliance, and QA, translating their obligations into implementable data controls without absorbing their decisions.

IT owns Veeva, Salesforce, and the clinical and regulatory…