Director, Master Data Management
GSK
September 03, 2026
Remote friendly (Philadelphia, PA)
United States
IT
Responsibilities:
- Define and lead US MDM strategy, architecture, and multi-year roadmap; establish trusted golden records for Customer (HCP, Account, Patient) and Product, designed to scale to new domains.
- Modernize MDM platforms/processes to improve data quality, accelerate mastering, and reduce manual effort.
- Own end-to-end master data operating model (acquisition, ingestion, matching, governance, quality, retirement) ensuring efficient, compliant management.
- Set data quality metrics, required attributes, matching/merging rules, and survivorship criteria.
- Conduct gap analysis (present vs. target state) with stakeholders; align priorities to business and patient impact.
- Transform stewardship for speed/agility: redesign workflows, develop data steward roles, deploy AI/GenAI for entity resolution/matching/deduplication/quality remediation; define KPIs/SLAs.
- Own strategy for critical internal/third-party data sources; manage onboarding, profiling, validation, reconciliation, vendors, and data quality.
- Own affiliations (B2B and P2B) models/processes; ensure accuracy for downstream CRM, targeting, call planning, market access, analytics; use AI-assisted inference with humans in loop.
- Modernize request intake/resolution using AI triage/routing/self-service; use analytics to drive upstream improvements.
- Drive AI adoption with governance/human-in-the-loop; monitor industry trends.
- Lead delivery and governance with Global Tech/Data Governance forums; define compliance policies; manage risks/issues; lead/evolve data team.
Qualifications (Required):
- Bachelor’s degree (or equivalent); 10+ years data management/MDM/data governance in regulated healthcare/pharma.
- 7+ years hands-on MDM in Customer domain (HCP/Account/Patient) incl. stewardship/quality/governance.
- Hands-on Reltio expertise (configuration, matching/survivorship, workflows, operations) plus SQL and/or Python.
- Healthcare CRM ecosystem understanding; demonstrated Product domain mastering.
- Understanding of AI/GenAI for stewardship/matching/data quality.
- Proven leadership implementing/operating MDM or Data Governance; build high-performing data teams.
Preferred:
- Master’s; Customer 360/CDP experience; experience at scale reducing request turnaround.
- Familiarity with agentic/autonomous stewardship and data quality automation/copilots.
- Cloud/data tooling (Azure/Databricks/Snowflake) and enterprise integration; Agile/project management.
- Define and lead US MDM strategy, architecture, and multi-year roadmap; establish trusted golden records for Customer (HCP, Account, Patient) and Product, designed to scale to new domains.
- Modernize MDM platforms/processes to improve data quality, accelerate mastering, and reduce manual effort.
- Own end-to-end master data operating model (acquisition, ingestion, matching, governance, quality, retirement) ensuring efficient, compliant management.
- Set data quality metrics, required attributes, matching/merging rules, and survivorship criteria.
- Conduct gap analysis (present vs. target state) with stakeholders; align priorities to business and patient impact.
- Transform stewardship for speed/agility: redesign workflows, develop data steward roles, deploy AI/GenAI for entity resolution/matching/deduplication/quality remediation; define KPIs/SLAs.
- Own strategy for critical internal/third-party data sources; manage onboarding, profiling, validation, reconciliation, vendors, and data quality.
- Own affiliations (B2B and P2B) models/processes; ensure accuracy for downstream CRM, targeting, call planning, market access, analytics; use AI-assisted inference with humans in loop.
- Modernize request intake/resolution using AI triage/routing/self-service; use analytics to drive upstream improvements.
- Drive AI adoption with governance/human-in-the-loop; monitor industry trends.
- Lead delivery and governance with Global Tech/Data Governance forums; define compliance policies; manage risks/issues; lead/evolve data team.
Qualifications (Required):
- Bachelor’s degree (or equivalent); 10+ years data management/MDM/data governance in regulated healthcare/pharma.
- 7+ years hands-on MDM in Customer domain (HCP/Account/Patient) incl. stewardship/quality/governance.
- Hands-on Reltio expertise (configuration, matching/survivorship, workflows, operations) plus SQL and/or Python.
- Healthcare CRM ecosystem understanding; demonstrated Product domain mastering.
- Understanding of AI/GenAI for stewardship/matching/data quality.
- Proven leadership implementing/operating MDM or Data Governance; build high-performing data teams.
Preferred:
- Master’s; Customer 360/CDP experience; experience at scale reducing request turnaround.
- Familiarity with agentic/autonomous stewardship and data quality automation/copilots.
- Cloud/data tooling (Azure/Databricks/Snowflake) and enterprise integration; Agile/project management.