Director, Regulatory AI Business Partner

• Serve as the primary, trusted business partner between AI for Clinical Development team and the Regulatory function across the enterprise.
• Partner closely with AI for Clinical Development function leads and their teams, and the broader EAI teams, to develop AI solutions, sitting on project teams and where needed engaging Regulatory domain expertise directly into solution development, keeping delivery aligned to function needs.
• Develop a deep, current understanding of Regulatory priorities, workflows, and decision points. Understand and coordinate with ongoing digital and AI efforts within the Regulatory function.
• Build credibility and trusted relationships with senior leaders across the function, and act as a calm, structured partner when priorities compete.
• Connect with the digital, data science, and AI teams embedded within the Regulatory function and the therapy areas, and with senior Regulatory leaders across biopharma and oncology, so efforts are coordinated rather than duplicated.

• Act as a bridge on responsible and compliant AI for the AI for Clinical Development team: flag early when a solution under development may constitute a regulated product or otherwise trigger regulatory requirements, and help teams chart a path through them.
• Partner with compliance, quality, privacy, and data-governance stakeholders to close gaps where enterprise guidance does not yet exist, so teams can move quickly without taking on undue risk.

• Provide AI expertise and consultation to Regulatory - advising where AI will add the most value within the function's digital roadmap, and how AI can support Regulatory in achieving its digitally-enabled vision.
• Translate function needs into a prioritized, sequenced set of AI opportunities - drawing on Regulatory's existing roadmaps rather than a new list - and help decide which are best implemented at the enterprise level versus within the function directly.
• Define and demonstrate the value of AI solutions for Regulatory: build the business case, agree success metrics up front, and track adoption and benefits realization after delivery.
• Contribute the business and domain perspective to buy-vs-build and vendor-evaluation decisions for Regulatory use cases.
• Help establish appropriate performance, cost, and latency expectations for shared clinical AI capabilities in partnership with the team's evaluation and monitoring efforts.
• Coordinate related AI efforts to find shared, reusable solutions - so a single investment can meet common needs across functions rather than three parallel builds.
• Maintain a current view of the external vendor and technology landscape relevant to Regulatory, so build-vs-buy and partnering decisions reflect the latest options.

• Interface with IT and data teams to ensure that Regulatory AI solutions are aligned and implementable within data access, pipelines, compute, and infrastructure.
• Understand clinical data and regulatory standards, data governance, and what it takes for a solution to operate in a validated, audit-ready, regulatory-grade environment.
• Understand data and compute infrastructure and pipelines well enough to scope feasibility, identify dependencies and gaps, and broker solutions across technical and business teams.
• Ensure solutions are designed from the start to meet the evidentiary, compliance, and data-integrity bar that Regulatory work requires.
• Help teams identify solutions across the "last mile" - from a working prototype to a connected, productionized, and supported capability.

• Contribute to the roadmap for AI across Regulatory, aligning efforts across the enterprise.
• Partner with Regulatory to identify methodologic requirements, evidence gaps, and advocacy opportunities needed to safely advance clinical AI innovations.

• Master's degree in AI/ML, data science, health informatics, or a related field; an advanced degree is a plus. We welcome strong candidates from adjacent fields whose experience maps to the role.
• 5+ years of experience in digital health, AI/ML, or a technology-driven environment within healthcare or drug development, and meaningful exposure to Regulatory, with a demonstrated track record of identifying, articulating, and realizing the value of AI and data products in a real business setting.
• Demonstrated stakeholder management ability, including building credibility with and influencing senior stakeholders across functions.
• Ability to understand and reason about data, data and compute infrastructure, and pipelines, and to translate fluently between technical teams and business or domain audiences.
• Comfort interfacing with IT and enterprise data functions on data access, governance, infrastructure, and compute.
• Excellent interpersonal, verbal, and written communication skills, with the ability to operate in an international matrix environment and bring structure and clarity to ambiguous problems.
• Comfort with ambiguity and a bias for action in a fast-moving, build-from-the-ground-up environment.
• Familiarity with AI governance, compliance, and responsible-AI considerations in a regulated (GxP) environment, and the judgment to know when specialist input is required.

• Hands-on experience in Regulatory Affairs within life sciences or at a Health Authority (e.g., FDA, EMA).
• Direct, hands-on experience with Regulatory standards and workflows (regulatory submissions, regulatory affairs operations, and clinical data management) in drug development. Experience spanning both industry and Health Authority (e.g., FDA, EMA) settings is highly valued.
• Familiarity with regulatory and clinical data standards and compliance
• Experience with generative AI or agentic systems applied to regulatory writing and submissions.
• Experience supporting buy-vs-build decisions, vendor evaluation, or AI/data product management.
• Advanced degree (PhD, MD) in a relevant scientific, statistical, or technical field.
• Clinical training or a clinical background (e.g., MD, PharmD, RN) that supports credible engagement with clinical and regulatory stakeholders.
• Awareness of how AI-enabled tools and connected or digital health technologies (e.g., software as a medical device, wearables) can themselves fall under regulatory oversight.

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. The annual base pay for this position ranges from $186,014.40 - $279,021.60 USD Annual [80% - 120% ]. Our positions offer eligibility for various incentives - an opportunity to receive short-term incentive bonuses, equity-based awards for salaried roles and commissions for sales roles. Benefits offered include qualified retirement programs, paid time off (i.e., vacation, holiday, and leaves), as well as health, dental, and vision coverage in accordance with the terms of the applicable plans.