Artificial Intelligence Product Lead

About the Department 

Our Commercial Strategy and Marketing group creates and delivers human-centered experiences, where innovation meets customer-centricity, driving the ultimate experience for our patients. Our focus extends beyond transactions to craft experiences as one fully integrated, aligned and connected organization that puts empathy at the center, powered by insight and foresight.

 

We develop an end-to-end approach to strategy, focusing on every touchpoint that impacts our customers. We leverage data and insights to inform our decision-making processes, ensuring that our strategies are rooted in a deep understanding of customer needs and behaviors. Our 'test and learn’ mindset and approach enables us to iterate rapidly and refine our strategies based on real-world results.

 

We are building an intentional team culture that is made up of diverse skillsets, united by the shared belief that reinvention and learning is what fuels continuous growth. Do you get excited about exploring the unknown? Does the idea of driving value through human-centered design pull you in? Are you ready to experiment with us?

 

The Position

The Artificial Intelligence (AI) Product Lead is a strategic role focused on defining and driving the use of AI within marketing initiatives to improve experience, optimize operations, and drive innovation. This position is responsible for identifying and prioritizing AI use cases, managing pilot projects, establishing best practices, and crafting comprehensive product narratives. The leader in this role will also lead the establishment of an AI academy. The AI Product Lead will also be instrumental in driving adoption and creating activation processes, organizing training sessions, and ensuring seamless integration of AI capabilities across marketing and the broader commercial organization. This role is ideal for candidates looking to be at the forefront of digital transformation to create more data-driven and personalized experiences for patients and customers.

 

Relationships

Reports to the Head of Commercial Excellence and Innovation. Collaborates with cross-functional teams, including marketing, data and analytics, sales, IT and legal to understand current state and identify how AI can enhance team productivity, customer experience and operational efficiency. Consults with legal and regulatory affairs to address legal considerations and ensure AI solutions comply with industry regulations, ethical standards, and data privacy laws. Works with IT and Data Science teams during pilots for technical support. Responsible for providing interface with key internal and external stakeholders, such as AI technology providers. Establishes, oversees implementation, and monitors adherence to administrative policies and procedures.

 

Essential Functions

• AI Strategy: Develop a clear strategic vision and approach for incorporating AI into marketing activities, ensuring alignment with company goals and market dynamics. Assess the current state NNI marketing practices and identify areas for AI enhancement
• Use Case Identification and Prioritization: Identify and evaluate potential AI use cases or pilots within marketing (therapy areas or brands) to drive efficiency, personalization, and customer engagement as well as deliver significant value. Conduct thorough market research and stakeholder interviews to identify high-impact AI use cases. Collaborate with cross-functional teams to develop and refine use cases with cross-functional teams, as well as assess the technical and financial viability of the ideas. Prioritize use cases based on business value, feasibility, and strategic alignment
• Pilot Project Design and Management: Design and oversee pilot projects from start to finish. Test and validate the effectiveness of the AI solutions. Work with cross-functional teams to develop project scopes, timelines, and metrics as well as ensure successful implementation. Works with IT and Data Science teams for technical support in AI model development, data management, and integration of AI into existing systems and platforms
• Value Statements and Adoption Process: Create product narratives that clearly articulate the vision and benefits of AI initiatives to stakeholders. Write compelling product narratives that ensure alignment on outcomes and functionality of AI-driven ma