Executive Director, Technical Product Management

# Executive Director, Technical Product Management## Merck Published 28 Mar 2026## Role Highlights### Languages usedS3

Sharp### Key skills

Machine Learning Data Architect Data Governance

ML Ops Federated learning

Integrations

APIProduct Management Data Processing Data Management System Design Data Quality Data Security Stakeholder Management

MDMStrategic Planning Research Visualization Operations Database UITransformation

AIEmbedded

Logging

GDPRInfrastructure Cloud Architecture IACGlue Automation Search ### Tools, Libraries and Frameworks Data Bricks AWSSageMaker## Description  

Job Description  Our company is seeking an Executive Director to lead the Value Team responsible for the Development Data Platform & Services the backbone of our company's modern clinical, safety, regulatory, and quality data ecosystem.

This leader will own three integrated product lines:
Core Data Platform, Data Processing Services, and Platform Services, collectively enabling data-driven Clinical Trial development at global scale. The role combines enterprise technology leadership with deep data platform expertise to deliver trusted, governed, and AI-ready data products across our Research and Development (R&D) Division.  Scope of Responsibility - Three Product Lines:
+   Core Data Platform    End-to-end data lifecycle management: ingestion (Clinical, Safety, Regulatory, External Partners, Self-Serve), Data HUB (Raw/ Curated), Data Model/Domain (Clinical Operational, Patient, Analytics, Master & Reference), and Data Products (SDTM, ADaM, Operational Reports). Governed access via the Data Integration & Access Layer (DIAL) serving Databricks, Domino, visualization tools, and citizen application developers. +   Data Processing Services    Managed services for core clinical data operations:
Encoding, Database Lock, Masking & Blinding, SDTM Mapping/Generation, P21 Validation, and extensible service framework. +   Platform Services    Shared foundational capabilities including Centralized Clinical Trial Metadata Repository (MDR), Unified UI, and OneTouch

ID (identity governance and management Engine) enabling consistency and governance across the platform.  Education Requirement:
+ Bachelor's Degree  Leadership Requirements:
+   Enterprise Technology Leadership:
15+ years of progressive IT leadership; 5+ years at the Director/Executive Director level managing large-scale data platform programs in a regulated industry. +   People & Organization:
Demonstrated ability to attract, develop, and retain globally distributed technical talent. Experience leading large teams across multiple geographies and cultures. (Multi Team Leader Experience) +   Strategy & Value Delivery:
Track record of translating business strategy into platform roadmaps, articulating ROI to C-suite and Board-level stakeholders and delivering measurable outcomes. +   Stakeholder Management:
Skilled at navigating complex multi-stakeholder environments spanning IT, R&D, Clinical Operations, Regulatory Affairs, Quality, and external partners (CROs, technology vendors). +   Product Operating Model:
Experience operating under a product-led or value-stream organizational model; ability to prioritize backlogs, manage platform OKRs, and balance innovation with operational excellence. +   Program Governance:
Strong command of portfolio management, risk mitigation, vendor governance, and compliance in GxP or other regulated environments. +   Change Leadership:
Proven ability to lead organizational transformation migrating from legacy systems to modern cloud-native data platforms while maintaining continuity of critical operations.  Technical Acumen and

Experience:

+   Modern Data Management:
Deep expertise in data product thinking, data mesh/fabric architectures, data governance, metadata management, and data quality at enterprise scale. +   Data Platform Engineering:
Hands-on background or strong oversight experience in building and operating cloud-native data platforms ingest, transform, model, serve supporting both application consumers and analytical users. +   AI/ML Enablement:
Experience enabling AI/ML workloads on a shared platform supporting federated learning, model development…