Job Description
At Insmed, every moment and every patient counts — and so does every person who joins in. As a global biopharmaceutical company dedicated to transforming the lives of patients with serious and rare diseases, you’ll be part of a community that prioritizes the human experience, celebrates curiosity, and values every person’s contributions to meaningful progress. That commitment has earned us recognition as Science magazine’s No. 1 Top Employer for five consecutive years, certification as a Great Place to Work® in the U.S., and a place on The Sunday Times Best Places to Work list in the UK. For patients, for each other, and for the future of science, we’re in. Are you? About The Role As AI rapidly transforms the life sciences landscape — from drug discovery and clinical development to commercial operations and patient engagement — we are seeking an Executive Director, AI Transformation & Strategy to ensure that AI is not an afterthought, but a strategic starting point for how the organization operates and competes. This role sits at the intersection of business strategy, emerging technology, and operational transformation, partnering with leaders to identify high-impact transformational AI opportunities and through the co-creation process with the business, translates them into value generating solutions that benefit Therapeutic Area and functionals teams. This is not an IT or engineering role — it is a senior business leadership position for someone who understands the life sciences value chain and can translate AI's potential into competitive advantage, operational transformation, and measurable business outcomes. What You'll Do In this role, you will develop and steward the organization's enterprise AI transformation strategy beyond incremental change to reimagine the ways in which we work, ensuring alignment with corporate goals, patient-centric mission, and competitive positioning in the life sciences sector You Will Also Have Responsibility For AI Strategy & Vision Partner with business leaders to identify, prioritize, and activate high-value AI use cases, translating business problems into well-scoped opportunities for the teams to execute Act as a bridge between non-technical business stakeholders and technical teams (data science, IT, digital), ensuring AI solutions will impact both operations and strategy, allowing us to increase the speed and quality of program progression to help get medicines to patients sooner Translate AI capabilities into business value narratives that resonate with non-technical stakeholders across functions Together with the CIO, and VP of IT Clinical, Commercial & Emerging Technology serve as a thought partner to the Executive Committee on AI adoption, fluency, and organizational readiness Cross Functional Enablement and Change Management Partner with Therapeutic area, Program and Functional leaders to embed AI into operating models, workflows, and decision-making processes Drive a mindset shift across the organization — moving AI from a peripheral tool to a core strategic capability With IT and Organizational Transformation, champion AI literacy and upskilling programs for business leaders and employees, including certification pathways and learning modules Articulate the need for change through facilitating working sessions, leadership summits, and forums to accelerate AI adoption and share real-world use cases Governance and Responsible AI As part of the AI Governance Committee, collaborate with IT, Legal, Compliance, and Regulatory Affairs to ensure responsible, ethical, and compliant AI deployment across the enterprise Collaborate and align with the Cybersecurity team to develop robust data protection protocols and policies for secure data handling practices for all AI systems processing sensitive information Establish governance frameworks for AI model oversight, bias mitigation, and transparency Ensure alignment with FDA, EMA, and other relevant regulatory guidance on AI/ML in life sciences Stakeholder Engagement and External Positioning With CPSO, CIO and VP of IT Clinical, Commercial & Emerging Technology, represent the organization at industry forums, conferences, and consortia focused on AI in biopharma Stay current on the evolving AI landscape — including generative AI, agentic AI, and AI-powered drug development — and translate trends into strategic recommendations Performance and Impact Measurement Own the AI business case process — working with Finance and business owners to develop pilots and experiments, define success metrics at different stages, track ROI, an