Director, Intelligence Modernization & Productivity

Job Description Summary

The US Insights & Analytics (I&A) organization engineers the optimal decision environment for the US business by orchestrating, integrating, and synthesizing insights and analytics across therapeutic areas, functions, and the enterprise. Enterprise I&A drives enterprise decision environments through integrated executive analytics and portfolio insights that enable the organization to prioritize investments, track performance, and shape strategic direction.

The Director, Intelligence Modernization & Productivity leads the strategy, governance, prioritization, and continuous evolution of enterprise analytics modernization and productivity capabilities. Partner closely with the AI & Platform Products organization within Strategy, Platforms & Technology (SPT) and business stakeholders to transform analytics operating models, modernize workflows, accelerate adoption of AI-enabled ways of working, and improve efficiency, scalability, quality, and business impact.

The Director serves as the business owner for analytics modernization frameworks, process transformation initiatives, productivity programs, governance processes, capability roadmaps, and reusable enterprise assets.

Key Responsibilities

• The Director serves as the enterprise business owner for analytics modernization, analytics productivity, process transformation, and analytics workflow reengineering, including modernization standards, operating model transformation, process redesign frameworks, productivity initiatives, workflow requirements, governance processes, prioritization frameworks, capability roadmaps, and enterprise modernization assets.
• The role is the primary business counterpart to AI & Platform Products within SPT for modernization priorities, business requirements, adoption strategies, and value realization, but does not own AI platforms, agent development, automation technologies, technical architecture, product engineering, technology delivery, or analytics domain ownership.
• The role operates within a globally integrated capability model and shares accountability with HYD counterparts through common standards, coordinated roadmaps, reusable solutions, and shared outcomes.
• Defines and maintain the enterprise analytics modernization strategy and roadmap. Aligns modernization priorities with enterprise analytics, AI, productivity, and workforce transformation objectives. Identifies opportunities to simplify, standardize, automate, and modernize analytics workflows and operating models.
• Owns the modernization capability backlog, roadmap, intake, prioritization, trade-off decisions, capacity planning, and value realization process.
• Establishes governance frameworks, standards, methodologies, reusable patterns, reference workflows, and operating principles.
• Defines the future-state analytics operating model, including AI-enabled workflows, human-plus-agent ways of working, and scalable delivery models.
• Establish adoption, change management, and measurement frameworks for modernization initiatives.
• Partners with HYD counterparts to jointly define priorities, standards, roadmaps, requirements, and reusable assets.

Essential Requirements

• Minimum 8+ years of experience in analytics, business transformation, process improvement, automation, productivity, operations, or related disciplines.
• Bachelor's degree required. Advanced degree in Business, Analytics, Data Science, Engineering, Technology, Operations, Organizational Effectiveness, or a related field preferred. Fluent English; other languages desirable.
• Fluent English; other languages desirable.
• Experience leading cross-functional transformation, modernization, operating model, workforce evolution, organizational change, or adoption initiatives.
• Experience translating business objectives into scalable analytics, workflow, and technology capabilities and establishing governance frameworks or standards.
• Experience managing roadmaps, backlogs, prioritization processes, agile delivery partnerships, and partnerships across analytics, technology, product, and business organizations.
• Pharmaceutical, biotechnology, healthcare, life sciences, AI-enabled workflows, digital transformation, or enterprise process modernization experience preferred.