Data Orchestration Manager

Accenture • Chicago, IL

1d

About The Position

As a Data Orchestration Manager within the Data & AI practice at 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, 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.

Requirements

• 7+ years of relevant experience in data orchestration, with progressive responsibility leading workstreams or teams
• 5+ years of experience in customer, marketing, and/or commercial data domains, including experience with behavioral, journey, engagement, and performance data in omnichannel environments. Candidates should have deep knowledge of marketing and commercial technology ecosystems, including CDPs, CRM, sales force platforms, media platforms, digital analytics tools, and foundational data concepts (data models, pipelines, governance)
• 3+ years of experience leading measurement and decision frameworks, including KPIs, OKRs, attribution, incrementality, experimentation, regression, and MMM
• 3+ years of experience supporting Life Sciences clients, with exposure across marketing, sales, medical, or broader commercial functions

Nice To Haves

• Advanced degree preferred
• Experience designing, building, or leading AI- and GenAI-enabled solutions, including foundation models, decisioning systems, personalization engines, or automation applied to marketing, sales, or medical engagement
• Strong familiarity with Life Sciences commercial strategy and analytics, including HCP and patient engagement models, field effectiveness, brand performance, and NBRx-related analytics
• Experience leading cross-functional teams across creative, CX, marketing, sales, medical, data, and technology to operationalize analytics and AI at scale

Responsibilities

• Customer Experience & Omnichannel Decision Sciences 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.
• Omnichannel Measurement & Commercial Analytics 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).
• Marketing Technology & Data Enablement Translate commercial, marketing, and CX strategy into scalable data, reporting, and MarTech 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.
• AI-Driven Omnichannel Experiences 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.
• Data Storytelling & Strategic Influence 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.

Benefits

• Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed