Director, Applied AI Solutions, N.A. Commercial
Listed on 2026-08-08
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IT/Tech
AI Engineer (Applied/Software)
Title:
Director, Applied AI Solutions, N.A. Commercial Company:
Ipsen Biopharmaceuticals Inc.
Ipsen is a mid-sized global biopharmaceutical company with a focus on transformative medicines in three therapeutic areas:
Oncology, Rare Disease and Neuroscience. Supported by nearly 100 years of development experience, with global hubs in the U.S., France and the U.K, we tackle areas of high unmet medical need through research and innovation. Our passionate teams in more than 40 countries are focused on what matters and endeavor every day to bring medicines to patients in 88 countries.
We build a workplace that champions human-centric leadership and fosters a culture of collaboration, excellence and impact. At Ipsen, every individual is empowered to be their true selves, grow and thrive alongside the company’s success. Join us on our journey towards sustainable growth, creating real impact on patients and society! For more information, visit us at and follow our latest news on Linked In and Instagram.
The Director Applied AI Solutions – NA Commercial is responsible for defining and leading the North America Commercial AI strategy, portfolio, and roadmap to drive business performance, customer engagement, operational excellence, and innovation. This role identifies and prioritizes high-value opportunities across patient finding, HCP engagement, next-best-action, insights generation, and commercial operations, translating business needs into scalable, compliant AI-enabled capabilities that deliver measurable value.
Serving as the business owner and strategic leader for Commercial AI solutions, the incumbent partners across Commercial, Data Science, Digital/IT, Legal, Compliance, Privacy, and enterprise platform teams to drive governance, investment decisions, solution adoption, and value realization. The role provides thought leadership on emerging AI technologies, influences senior stakeholders, and ensures AI capabilities are aligned with commercial priorities, enterprise standards, and long-term growth objectives.
- Main Responsibilities
- Build and deliver NA Commercial AI solutions (primary focus)
- Design and build AI-powered workflows, agents, and applications for prioritized NA Commercial use cases, including patient finding, patient identification, HCP targeting, field insights, next-best-action, and content and insights automation.
- Translate Commercial business problems into technical solution designs and executable delivery plans.
- Build and test LLM, agentic AI, retrieval-augmented generation (RAG), and predictive AI solutions using approved Ipsen data and technology environments.
- Convert analytics, models, and prototypes into scalable, compliant, and business-ready solutions that can be adopted by NA Commercial teams.
- Develop evaluation frameworks for accuracy, grounding, hallucination risk, reliability, business KPIs, cost, and performance; iterate based on measured results.
- Partner with the Data Science team to product ionize models and prototypes and with IT/platform teams to deploy and support solutions.
- Partner with NA Commercial Operations, Brand, Field, Patient Services, Value & Access, and Analytics teams to identify and prioritize AI opportunities.
- Maintain the roadmap and backlog for assigned NA Commercial AI solutions.
- Define business requirements, user experience, adoption plans, and value measurement for solutions in scope.
- Ensure solutions are integrated into Commercial workflows rather than delivered only as technical prototypes.
- Gather business feedback and prioritize enhancements based on adoption and measurable impact.
- Conduct structured evaluations and pilots of AI tools relevant to NA Commercial use cases.
- Define business, technical, compliance, cost, and scalability criteria; build test approaches and benchmark vendor claims.
- Evaluate the suitability of approved platform AI capabilities, including Snowflake Cortex and Salesforce/Agentforce, for specific NA Commercial use cases.
- Make evidence-based build-versus-buy recommendations in partnership with IT, Procurement, Legal, Compliance, Privacy,…
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