Decision Science Consultant - 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 Consultant 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, enabling intelligence to move from insight to activation at scale.

Design and apply decision frameworks that connect data to customer experience, brand, and commercial decisions across the Life Sciences value chain. Analyze 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 teams to embed intelligence directly into activation and execution.

Define and evolve 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). Apply advanced analytics approaches—including incrementality, attribution, regression, and experimentation—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 data, reporting, and Mar Tech requirements, partnering with engineering and platform teams. Assess data availability, quality, and readiness across Life Sciences technologies, including CDPs, CRM, sales force platforms, media, digital analytics, and real-world data sources, ensuring compliance, governance, and scalability.

Design and build 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. Craft compelling narratives that guide omnichannel activation, inform commercial and brand strategy, influence senior decision-makers, and drive measurable, incremental business and customer impact.

• 3+ years of relevant experience in data, AI, and analytics. Experience should include:

  • Strong proficiency in customer, marketing, or commercial data domains, including experience working with behavioral, journey, engagement, and/or performance data
  • Expertise in designing and applying measurement frameworks, KPIs, and analytical approaches to inform business and customer decisions (e.g. OKRs, attribution, MMM, etc.)
  • Experience translating strategy into analytics and data requirements, including gathering, documenting, and communicating business needs, use cases, and success measures.
  • Knowledge of marketing and commercial technology ecosystems, including CDPs, CRM, media platforms, digital analytics tools, and foundational concepts (data models, data engineering, governance)
  • Excellent communication and stakeholder management skills.
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