Director, Master Data Management

GSK; United States; On-site; USD 180,000 - 250,000; Full time

Job summary

GSK is seeking a transformative leader to own the US Master Data Management (MDM) capability, defining vision, architecture, and operating model for trusted customer and product data. You will drive modernization with AI/ GenAI, data governance, and an end-to-end stewardship model, aligning with Global Tech and commercial teams to deliver impact.

The role requires deep MDM expertise, hands-on Reltio experience, and a mindset to continuously evolve data management practices to meet business needs

Qualifications

• Deep MDM expertise, especially in healthcare data.
• Experience applying AI/automation to data stewardship.
• Strong governance, data quality and stewardship mindset.

Responsibilities

• Define strategy, architecture, and multi-year roadmap for US MDM.
• Modernize platforms, processes, and ways of working for faster mastering.
• Own end-to-end master data operating model across domains.
• Define data quality metrics, attributes, matching rules, survivorship.
• Collaborate with stakeholders to close gaps and prioritize value.
• Embed best practices in governance, stewardship, and architecture.

Skills

MDM

Reltio

Data governance

Healthcare data

AI/GenAI mindset

Tools

MDM tools

Reltio Platform

Job description

Position Summary :

You will lead and transform GSK's Master Data Management (MDM) capability for the US organization - owning the vision, architecture, and operating model that deliver a single, trusted view of our most critical master data. Customer mastering (spanning Healthcare Professionals, Accounts, and Patients) is at the heart of this role, and Product mastering will be an equally essential part of the mandate, with the capability designed to extend to additional domains over time.

This is a transformation role. You will evolve an established capability - including a team of Data Stewards and business partners - into a modern function that is significantly faster, more automated, and tightly aligned to the speed and agility the business demands. You will bring industry-leading best practices to how data is mastered, governed, and served, and ensure the MDM capability is prioritized around the organization's most important business needs. A central goal is to make data stewardship dramatically quicker and more responsive, ensuring the MDM function keeps pace with commercial needs. Thoughtful adoption of AI and automation is a key enabler of this transformation, alongside strong governance and disciplined execution.

The role requires deep MDM expertise, hands-on experience with the Reltio platform, a strong understanding of healthcare/pharma customer data and commercial data ecosystems, and an AI-driven mindset to modernize how GSK manages, matches, governs, and serves its master data. You will partner closely with the Global Tech organization that operates core MDM technical processes, as well as with Commercial, Market Access, Field Force, Insights & Analytics, and Data Governance teams.

Responsibilities :

MDM Strategy, Capability & Transformation

Define and lead the strategy, architecture, and multi-year roadmap for GSK's US MDM capability, establishing trusted golden records across the Customer domain (HCP, Account, Patient) and the Product domain, with a design that scales to additional domains in the future.

Lead the ongoing modernization of the MDM capability - evolving platforms, processes, and ways of working to raise data quality, accelerate mastering, and reduce manual effort.

Own the end-to-end master data operating model - acquisition, ingestion, matching, governance, quality, and retirement - ensuring data is managed efficiently and compliantly.

Define measurable data quality metrics, minimal required attributes, matching and merging rules, and survivorship criteria across each domain to support a robust and successful MDM platform.

Partner with a range of key stakeholders to establish a clear gap analysis, evaluating the "present state" against the "target state" and prioritizing the capabilities that unlock the most business value.

Ensure the MDM capability is continuously aligned to the organization's most important business needs, prioritizing the domains, data, and improvements that create the greatest commercial and patient impact.

Bring and embed industry-leading MDM best practices - in data quality, governance, stewardship, and architecture - and set the standard for a truly best-in-class capability.

Transforming Data Stewardship for Speed & Agility

Re-imagine the data stewardship operating model to make it significantly faster, with an explicit goal that the MDM function keeps pace with the business's needs for speed and agility.

Evolve and develop the existing team of Data Stewards and business partners, redefining roles, workflows, and skills for a modern, AI-augmented operating model.

Deploy AI and GenAI to automate high-volume, repetitive stewardship tasks - entity resolution, matching, deduplication, and quality remediation - shifting steward capacity toward higher-value exception handling and governance.

Establish and monitor clear KPIs and SLAs for stewardship throughput and turnaround and build the service organization and governance needed to sustain them in day-to-day operations.

Critical Data Sources

Own the strategy for the critical internal and third-party data sources that form the backbone of the MDM capability, ensuring coverage, currency, and quality across all feeds.

Manage source onboarding, profiling, validation, and reconciliation processes, and oversee vendor relationships, service levels, and data quality commitments.

Continuously rationalize and evolve the data source portfolio, identifying gaps, redundancy, and emerging sources that improve completeness, timeliness, or match rates.

Affiliations (B2B & P2B)

Own the data models, processes, and tooling for managing affiliations - both business-to-business (B2B) and person/prescriber-to-business (P2B).

Ensure affiliation data is accurate, current, and fit for purpose in downstream commercial systems, including CRM, targeting, call planning, market access, and analytics.

Explore AI-assisted approaches to infer, propose, and validate affiliations from disparate data signals, reducing dependence on manual