Executive Director - Data Management, Analytics, AI & Architecture

Quick Facts

• Role: Executive Director of Data Management, Analytics, and Architecture
• Focus: Commercial and G&A data capabilities (strategy, architecture, governance, analytics, and AI)
• Work setup: On-site required 4 days per week

Description

Own and execute a multi-year data management, analytics, AI, and enterprise data architecture strategy for Commercial and G&A functions, aligning investments with corporate objectives. Serve as a primary executive spokesperson for data management, analytics, and architecture across Commercial and G&A functions, including Finance, HR, Procurement, Legal, Compliance, and other corporate departments.

Responsibilities

• Lead and develop a high-performing team of data management, analytics, and architecture professionals
• Deliver trusted data platforms, analytics products, and self-service capabilities for business leaders across Commercial, Finance, HR, and other G&A functions
• Establish enterprise-wide data governance, stewardship, quality, lifecycle management, and master data standards
• Modernize and simplify the data ecosystem via scalable cloud platforms, integration strategies, architecture standards, and executive reporting capabilities
• Advance AI, machine learning, automation, and responsible AI practices by identifying high-value use cases, managing risk, and ensuring regulatory compliance
• Drive measurable business outcomes through improved data quality, analytics adoption, automation, operational efficiency, productivity, and process standardization across global teams
• Oversee vendor partnerships, data security, architecture governance, and value realization

Requirements

• BS/BA in Computer Science, Data Science, Information Systems, or a related field required; MS, PhD, or MBA preferred
• 17+ years of progressive leadership in data management, data architecture, analytics, or business intelligence, including enterprise-scale programs; life sciences/biotechnology or regulated industry experience is a plus
• Deep command of modern data management, analytics, and enterprise architecture capabilities (platform-agnostic, e.g., BI, cloud data platforms, data governance, data modeling, master data management)
• Experience establishing enterprise data governance frameworks and reference architecture standards that scale across multiple business domains
• Strong understanding of AI, machine learning, and agentic AI concepts, including model risk, responsible AI practices, and the operational discipline to run AI systems safely at enterprise scale
• Familiarity with regulatory and risk frameworks relevant to AI and data in regulated industries (e.g., GxP considerations, NIST AI RMF, ISO 42001) is a plus
• Experience partnering with Legal, Compliance, Security, and Privacy to manage data and AI risk, vendor risk, and audit readiness
• Proven ability to influence senior leaders, translate data into business outcomes, and attract top talent

Benefits

• Competitive and comprehensive total rewards package may include annual bonuses or other incentive plans, equity awards, pension or retirement benefits, 401(k) company match, health and wellness programs, fitness centers, insurance benefits (medical, dental, vision, life and disability), paid time off, and family support benefits
• Final offer determined within the provided salary range based on country, role level, and skills/experience