Director, Applied AI Solutions, N.A. Commercial

Title:

Director, Applied AI Solutions, N.A. Commercial

Company:

Ipsen Biopharmaceuticals Inc.

 

About Ipsen:

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 https://www.ipsen.com/ and follow our latest news on LinkedIn and Instagram.

Job Description:

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.

WHAT - 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 productionize models and prototypes and with IT/platform teams to deploy and support solutions.

Commercial use-case and product ownership

• 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.

AI solution and vendor evaluation

• 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, and relevant platform owners.
• Ensure vendor solutions meet defined Commercial outcomes and align with approved architecture, security, privacy, and data-handling requirements.

Solution lifecycle, quality, and responsible AI

• Define and manage the lifecycle for the NA Commercial AI solutions in scope, including deployment, versioning, evaluation, monitoring, and ongoing enhancement.
• Establish fit-for-purpose testing for output quality, accuracy, grounding, hallucination risk, bias, reliability, cost, latency, and business performance.
• Apply Ipsen privacy, compliance, security, and responsible AI requirements to NA Commercial solutions.
• Partner with IT and platform teams on deployment controls, access management, monitoring, and production support.
• Document solution logic, intended use, limitations, controls, and performance.
• Contribute NA Commercial requirements, reusable components, and learnings to broader Ipsen AI standards and knowledge sharing.

HOW - Knowledge & Experience

Knowledge & Experience (essential):

• Significant experience (10+ years) in software, machine learning, applied AI, or AI solution development, including a track record of delivering production solutions with measurable business impact.
• Hands-on experience (typically 2+ years) building and deploying LLM/GenAI applications in production, including agentic workflows, RAG, grounding, and evaluation, delivered through frameworks or directly on foundation-model APIs.
• Advanced hands-on proficiency in Python and SQL; experience building solutions using approved cloud AI/ML services.
• Experience managing deployed AI solutions through monitoring, versioning, evaluation, quality controls, cost management, and CI/CD practices.
• Demonstrated ability to translate ambiguous business needs into technical solutions and partner effectively with Commercial, Data Science, and technology stakeholders.
• Experience owning an AI solution from use-case definition and development through adoption, performance measurement, and enhancement.
• Advanced hands-on proficiency in Python and SQL; experience with APIs, integration patterns, containerization, and Git-based workflows.
• Hands-on development of agentic AI and LLM applications, including orchestration, tool/function calling, RAG, prompt engineering, grounding, and evaluation.
• Experience using frameworks such as LangGraph or LlamaIndex, or building directly on foundation-model APIs such as OpenAI, Anthropic, AWS Bedrock, or Azure OpenAI.
• Experience building solutions with approved cloud AI/ML services; familiarity with vector databases and AI/LLM observability tooling such as LangSmith, Langfuse, MLflow, or equivalent.
• Working knowledge of AI capabilities in NA data platforms, including Snowflake Cortex and Salesforce/Agentforce.
• Practical experience with technical delivery controls, including model/prompt/agent versioning, CI/CD, monitoring, quality management, cost management, and performance optimization.

Knowledge & Experience (preferred):

• NA Commercial pharma/biotech experience, ideally with use cases such as patient finding, HCP targeting, field insights, next-best-action, or Commercial workflow automation.
• Familiarity with healthcare data, including medical and pharmacy claims such as IQVIA or Komodo, EHR, specialty pharmacy, and coding systems such as ICD, CPT, and NDC.
• Experience evaluating AI vendors and approved data-platform capabilities, including Snowflake Cortex and Salesforce/Agentforce, for Commercial use cases.
• Awareness of privacy, compliance, and responsible AI considerations in healthcare, including HIPAA, PHI/PII handling, and promotional review.

Education / Certifications (essential):

• BA/BS in Computer Science, Engineering, Data Science, or a related quantitative field, or equivalent practical experience.

Education / Certifications (preferred):

• Advanced degree (MS/PhD) in a relevant field; cloud or machine learning certifications.

Language(s) (essential):

• Fluent in English.

Compensation

The annual base salary range for this position is $177,000 - $260,000

This job is eligible to participate in our short-term incentives program. At Ipsen we are proud to offer a comprehensive employee benefits package, including 401(k) with company contributions, group medical, dental and vision coverage, life and disability insurance, short- and long-term disability insurance, as well as flexible spending accounts. Ipsen also provides parental leave, paid time off, a discretionary winter shutdown, well-being allowance, commuter benefits, and much more.

The pay range displayed above is the range of base pay compensation within which Ipsen expects to pay for this role at the time of this posting. Individual compensation within this range depends on a variety of factors, including, but not limited to, prior education and experience, job-related knowledge and demonstrated skills.

We are committed to creating a workplace where everyone feels heard, valued, and supported; where we embrace “The Real Us”. The value we place on different perspectives and experiences drives our commitment to inclusion and equal opportunities. When we include diverse ways of thinking, we make more thoughtful decisions and discover more innovative solutions. Together we strive to better understand the communities we serve. This means we also want to help you perform at your best when applying for a role with us. If you require any adjustments or support during the application process, please let the recruitment team know. This information will be handled with care and will not affect the outcome of your application. Ipsen is an equal opportunity employer that strictly prohibits unlawful discrimination. We recruit, employ, train, compensate, and promote without regard to an individual’s race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, mental/physical disability, medical condition, marital status, veteran status, or any other characteristic protected by law.