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.

Key responsibilities:

1.

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.

2.

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).

3.

Marketing Technology & Data Enablement:

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.

4.

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.

5.

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.

Basic Qualifications:

• 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

Preferred Qualifications:

• 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

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.We anticipate this job posting will be posted on 03/02/2026 and open for at least 28 days.

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. See more information on our benefits here:

U.S. Employee Benefits | Accenture

Role Location Annual Salary Range:

California $94,400 to $293,800

Cleveland $87,400 to $235,000

Colorado $94,400 to $253,800

District of Columbia $100,500 to $270,300

Illinois $87,400 to $253,800

Maryland $94,400 to $253,800

Massachusetts $94,400 to $270,300

Minnesota $94,400 to $253,800

New York $87,400 to $293,800

New Jersey $100,500 to $293,800

Washington $100,500 to $270,300

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.
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