AI Decision Science Manager - Life Sciences

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Accenture Song accelerates growth and value for our clients through sustained customer relevance. Our capabilities span from ideation to execution: growth, product and experience design; technology and experience platforms; creative, media and marketing strategy; and campaign, content and channel orchestration. With strong client relationships and deep industry expertise, we help our clients operate at the speed of life through the unlimited potential of imagination, technology and intelligence.

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As an AI Decision Science Manager for Data & AI at Accenture Song, you will help Life Sciences clients use data, advanced analytics, and AI to drive smarter customer experiences and commercial strategies across marketing, sales, and medical functions. This role sits at the intersection of decision science, AI engineering, marketing technology, experience design, and commercial execution, with accountability for managing scaled delivery.

You will lead teams in the design and application of decision frameworks, omnichannel measurement, and AI-driven systems to activate personalized engagement across the customer lifecycle, inform brand and commercial strategy, and guide investment decisions tied to outcomes such as growth, efficiency, and Rx. The ideal candidate is a strategic thinker, experienced leader, and analytical problem-solver who can influence senior stakeholders, shape solution direction, deliver complex programs, and embed data- and AI-driven decisioning into how Life Sciences organizations operate.

Lead the design and application of decision frameworks that connect data to customer experience, brand, and commercial decisions across the Life Sciences value chain. Oversee analysis of HCP, patient, and account-level data (behaviors, journeys, channels) to inform personalization, content strategy, engagement models, and omnichannel orchestration across marketing, sales, and medical functions. Partner with brand, commercial, and technology leaders to embed intelligence directly into activation and execution.

Define, evolve, and govern measurement frameworks that connect marketing, sales, and medical engagement to business and patient outcomes (e.g., revenue, cost efficiency, NBRx, LTV, reach and frequency effectiveness). Lead the application of advanced analytics approaches—including incrementality, attribution, regression, experimentation, and MMM—to guide strategic and investment decisions. Ensure measurement supports enterprise alignment, operational efficiency, and performance management (e.g., OKRs, brand and field effectiveness).

Translate commercial, marketing, and CX strategy into scalable data, reporting, and Mar Tech requirements, partnering closely with engineering and platform teams. Guide assessment of data availability, quality, and readiness across Life Sciences technologies, including CDPs, CRM and sales force platforms, media, digital analytics, and real-world data sources, ensuring compliance, governance, and long‑term sustainability.

Lead the design and build of AI-driven decision systems that connect customer data, measurement, and commercial technology to activate relevant, personalized experiences across the full lifecycle—from strategy and journey design to content, activation, and optimization. Apply advanced analytics and AI engineering to reinvent how Life Sciences organizations engage HCPs, patients, and stakeholders across marketing, sales, and medical channels.

Translate complex commercial and customer data into clear insights and decisive actions for senior stakeholders. Develop compelling narratives that guide omnichannel activation, inform commercial and brand strategy, influence executive decision‑making, and drive measurable, incremental business and customer impact.

• 7+ years of relevant experience in data, analytics, AI, or decision science roles, with progressive responsibility leading…