Executive Director, AI Transformation & Strategy

Insmed Incorporated•NJ Corporate Headquarters, NJ

2d•Hybrid

About The Position

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.

Requirements

Bachelor’s or Master’s degree.
At least 15 years of progressive business leadership experience in life sciences (Pharmaceuticals, Biotech, Medtech, or CRO/CDMO).
Deep knowledge of at least two major functional areas (e.g. R&D, Commercial, Regulatory, Operations, etc).
A track record of leading complex, cross-functional strategic initiatives, several of which are AI related, from concept through execution.
Demonstrated ability to evaluate emerging technologies through a business lens.
Exceptional communication and influence skills.
Experience with data-driven decision-making and comfort with concepts like AI/ML, automation, and predictive analytics at a strategic level.
Familiarity with relevant regulatory frameworks affecting AI use in life sciences (e.g., FDA guidance on AI/ML in drug development or medical devices) is strongly preferred.

Nice To Haves

Familiarity with relevant regulatory frameworks affecting AI use in life sciences (e.g., FDA guidance on AI/ML in drug development or medical devices)

Responsibilities

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.
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.
Serve as a thought partner to the Executive Committee on AI adoption, fluency, and organizational readiness.
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.
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.
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.
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.
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, and communicate impact to senior stakeholders.
Maintain a portfolio view of AI investments across the organization, ensuring resources are allocated to the highest-priority initiatives and that efforts are not duplicated.
Define and track KPIs and ROI metrics for AI initiatives across business functions.
Report progress to executive leadership and the Board on AI strategy execution and business impact, knowing that more projects does not equal more value and the assessment of in-house vs third-party, and first-generation vs next-generation are critical to the value proposition.
Continuously assess organizational AI maturity and benchmark against industry peers.

Benefits

Comprehensive medical, dental, and vision coverage and mental health support
Annual wellbeing reimbursement
Access to our Employee Assistance Program (EAP)
Generous paid time off policies
Fertility and family-forming benefits
Caregiver support
Flexible work schedules with purposeful in-person collaboration
401(k) plan with a competitive company match
Annual equity awards
Participation in our Employee Stock Purchase Plan (ESPP)
Company-paid life and disability insurance
Company Learning Institute providing access to LinkedIn Learning, skill building workshops, leadership programs, mentorship connections, and networking opportunities
Employee resource groups
Service and recognition programs
Meaningful opportunities to connect, volunteer, and give back