BASIC QUALIFICATIONS:

Doctorate degree and 4 years of AI, Machine Learning, or Data Science experience
OR
Master’s degree and 7 years of AI, Machine Learning, or Data Science experience
OR
Bachelor’s degree and 9 years of AI, Machine Learning, or Data Science experience

PREFERRED QUALIFICATIONS:

• Advanced degree (e.g., Master’s or PhD) in AI, Machine Learning, Data Science, or related field.
• 10+ years of leadership roles within pharmaceutical, biotech, or healthcare industries.
• Deep domain expertise in biopharma Commercial including direct experience working within the biopharma Commercial domain
• At least 3 years of AI experience within the biopharma Commercial domain
• 8+ years of experience working at the intersection of AI/ML and business functions, with a focus on delivering measurable outcomes.
• Demonstrated ability to lead multi-functional teams and manage complex initiatives in a matrixed organization.
• Ability to prioritize and manage a business domain’s technical portfolio of initiatives including defining ROI and NPV
• Direct experience identifying and modeling business architectures, use cases, and performing journey mapping exercises with business stakeholders
• Hands-on experience with AI/ML tools, technologies, and platforms, as well as a solid understanding of data ecosystems.
• Experience partnering with external technology providers and managing alliances to deliver enterprise-scale AI solutions.
• Familiarity with regulatory requirements and data privacy considerations in the pharmaceutical or biotech sector.
• Strong track record of developing and driving AI strategies that align with organizational goals across functional areas.
• Experience influencing senior leadership and advocating for AI initiatives with non-technical stakeholders.

WHAT YOU WILL DO

Let’s do this. Let’s change the world. In this vital role you will be a key leader within the AI&D Innovation Lab & Partnership team, serving as the main interface between AI&D, Technology and their assigned Commercial business function. This role is responsible for aligning AI capabilities with functional priorities, driving AI strategy and delivery, and delivering measurable business outcomes. The individual must possess deep expertise in their respective function, strong AI/ML proficiency, and exceptional collaboration skills. This role will serve as an enabling capability that will serve all of AI&D.

RESPONSIBILITIES:

• Partnering with business leaders to guide prioritization and investment decisions
• Partner with broader AI&D and Lab teams (Alliances and Ecosystem, Digital Product Management, Lab Accelerator) to implement and validate AI solutions that solve critical challenges.
• Fostering cross-functional collaboration across AI&D, Tech, and business units
• Ensure successful delivery and adoption of AI solutions within the assigned function, driving measurable outcomes and enterprise scalability.
• Willingness to travel around 20%.