As a Data Orchestration Specialist for Accenture Song, you will help 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.

You will design and apply 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 NBRx. The ideal candidate is a strategic analytical problem-solver who can translate complex data into compelling narratives that influence creative, CX, commercial, and executive stakeholders—and embed intelligence directly into how Life Sciences organizations operate.

Key responsibilities:

1. Customer Experience & Omnichannel Decision Sciences

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.

2. Omnichannel Measurement & Commercial Analytics

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).

3. Marketing Technology & Data Enablement

Translate commercial, marketing, and CX strategy into data, reporting, and MarTech 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.

4. AI-Driven Omnichannel Experiences

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.

5. Data Storytelling & Strategic Influence

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.