Data Orchestration Specialist
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.
Basic Qualifications:
+ 3+ years of relevant experience in data orchestration. 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.
Preferred Qualifications:
+ Experience supporting Life Sciences clients.
+ Experience applying AI and GenAI (e.g. Foundation Models, decisioning systems, recommender systems, automation) to analytics, customer engagement, or commercial use cases
+ Familiarity with Life Sciences commercial strategy and analytics, including HCP or Patient strategies, field effectiveness, or Rx related measurement and analytics
+ Experience working cross-functionally with omnichannel teams (creative, CX, marketing, sales, technology) to operationalize analytics and AI.
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 02/18/2026 and open for at least 14 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 (https://www.accenture.com/us-en/careers/local/benefits)
Role Location Annual Salary Range
California $70,350 to $205,800
Cleveland $59,100 to $164,600
Colorado $63,800 to $177,800
District of Columbia $68,000 to $189,300
Illinois $59,100 to $177,800
Maryland $63,800 to $177,800
Massachusetts $63,800 to $189,300
Minnesota $63,800 to $177,800
New York $66,300 to $205,800
New Jersey $68,000 to $205,800
Washington $80,200 to $189,300
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