Senior Director, Enterprise Data Management & Governance Lead

NewAmsterdam Pharma Corporation

8h•Remote

About The Position

NewAmsterdam Pharma is seeking an enterprise data management leader to build and run its enterprise data governance and data management function. The role owns enterprise data governance, master data, and the data layer of the cloud data platform operated by Data, AI & Innovation on Google Cloud. It establishes standards for source systems and governs data flowing from them, with an emphasis on making trustworthy data both readily accessible and provable on demand. The role sets strategy, policy, operating processes, and a federated stewardship model, sequenced to regulatory and launch milestones. It co-chairs the Data Governance Council with Quality Assurance and drives cross-functional accountability for enterprise data. The position also owns metadata, business glossary, end-to-end lineage, data quality, master data, data management practices, and the platform’s data layer across clinical, commercial, regulatory, and corporate domains. The role will prepare the data layer for potential GxP validation as regulated use increases, determining where validated zones are appropriate, defining their triggers and criteria, and designing their boundaries. It will help establish the commercial data foundation ahead of the US launch, govern partner data interfaces, and set data governance controls for AI, including provenance and EU AI Act readiness. The role works as a peer to Security, Legal, Privacy, Compliance, and QA, translating obligations into implementable data controls while those functions retain their respective decisions and authorities. The position is remote under NewAmsterdam Pharma’s on-demand workplace philosophy, with in-person attendance at the Philadelphia-area office based on business needs and work requirements rather than a set office schedule.

Requirements

8–10 years of experience in data governance, data management, or data platform leadership.
Demonstrated experience leading teams and running an enterprise data governance and data management function.
Life sciences experience, including familiarity with GxP data integrity, Part 11, Annex 11, ALCOA+, and how governance controls interact with system validation.
Experience building enterprise data governance and data management capabilities from the ground up and leading the function through implementation and ongoing operations.
Previous experience leading a Data Governance Council and establishing cross-functional data ownership and accountability.
Hands-on master data ownership experience.
Current depth in a modern cloud data platform, including hands-on Google Cloud Platform (GCP) experience.
Working fluency in SQL and dbt or an equivalent tool.
Experience with data acquisition, including identifying and evaluating data sources, working with data providers, and incorporating acquired data into enterprise data management and governance processes.
Experience delivering governance from outside IT and gaining business-owner accountability for data without direct authority over those owners.
Ability to work credibly with scientists, commercial leaders, and engineers, and to escalate early and communicate when something is not working.

Nice To Haves

Experience designing GxP readiness into a platform ahead of validation, or maintaining a validated system in a cloud and agile context.
Experience with a first commercial launch or a clinical-to-commercial transition.
Familiarity with CDISC standards and CRO data flows.
Experience with commercial pharmaceutical data, including customer master, distributor and specialty pharmacy, claims, and patient services.
GDPR-at-scale experience and privacy operations at the data layer.
SOX ITGC experience.
CDMP certification or equivalent.
Data acquisition experience in the cardiovascular or neurological space.

Responsibilities

Build and run the enterprise data governance and data management function, including strategy, policy, operating processes, and the federated stewardship model.
Sequence governance and data management work against regulatory and launch milestones.
Co-chair the Data Governance Council with Quality Assurance and drive cross-functional accountability for enterprise data.
Own metadata, the business glossary, and end-to-end lineage across clinical, commercial, and corporate data.
Own the data quality program and report domain scorecards to the executive team.
Own master data end to end across clinical, commercial, and regulatory domains.
Define GxP readiness for the data layer, including validated-zone criteria, triggers, and boundaries.
Set data management practices and platform data-layer standards, including modeling standards and SLAs for certified data products.
Govern the CRO and vendor data supply chain.
Participate hands-on in architecture reviews, access model design, and data quality investigations.
Build the commercial data foundation ahead of the US launch, including controls for transparency reporting and the commercial–medical firewall.
Govern partner data interfaces for net sales, channel, and safety data exchange where they feed revenue recognition, supply planning, and pharmacovigilance.
Establish data governance for AI, including provenance, controls on data entering models, and EU AI Act readiness.
Translate the obligations of Security, Legal, Privacy, Compliance, and QA into implementable data controls without taking over their decision-making.