<p>Job Description</p> <p>We are:</p> <p>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. Visit us at: www.accenture.com/song</p> <p>The role:</p> <p>As a Data Orchestration Manager within the Data & AI practice at Accenture Song, you will lead teams delivering decision science, experimentation, and AI-driven decisioning that improves HCP and patient experiences and drives measurable commercial impact. You will partner with strategy, creative, product, engineering, and Life Sciences stakeholders to frame business problems into decision frameworks and operationalize analytics and AI solutions across omnichannel engagement, field, digital, and journey touchpoints, in a privacy and compliance-aware environment.</p> <p>Core skills:</p> <ul> <li>Decision framing and hypothesis-driven problem solving </li><li>Experimentation and causal measurement (A/B testing, holdouts, incrementality) </li><li>Applied machine learning (propensity, uplift, segmentation, recommendations/next-best-action) </li><li>Strong statistical rigor and model validation </li><li>Executive-ready storytelling and stakeholder influence </li><li>Team leadership, delivery management, and cross-functional collaboration </li><li>Python and SQL; analytics-to-production mindset (pipelines, monitoring, governance) </li></ul> <p>Key responsibilities:</p> <ul> <li>Lead client-facing delivery (scope, plan, quality, risks, and team leadership). </li><li>Translate business objectives into decision frameworks, success metrics, and analytics roadmaps. </li><li>Design and guide solutions such as next-best-action, personalization/recommendations, segmentation, propensity/uplift models, churn/retention, and journey optimization. </li><li>Own measurement and experimentation strategy to quantify impact (test design, incrementality, causal methods). </li><li>Partner with data and ML engineering to productionize solutions (data requirements, pipelines, model monitoring, retraining triggers, governance). </li><li>Communicate insights and recommendations to senior stakeholders with clear implications and actions. </li><li>Contribute to proposals and practice-building (playbooks, accelerators, reusable assets). </li></ul> <p>Qualification</p> <p>Basic Qualifications:</p> <ul> <li>7+ years of relevant experience in data orchestration, with progressive responsibility leading workstreams or teams </li><li>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) </li><li>3+ years of experience leading measurement and decision frameworks, including KPIs, OKRs, attribution, incrementality, experimentation, regression, and MMM </li><li>3+ years of experience supporting Life Sciences clients, with exposure across marketing, sales, medical, or broader commercial functions </li></ul> <p>Preferred Qualifications:</p> <ul> <li>Advanced degree preferred </li><li>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 </li><li>Strong familiarity with Life Sciences commercial strategy and analytics, including HCP and patient engagement models, field effectiveness, brand performance, and NBRx-related analytics </li><li>Experience leading cross-functional teams across creative, CX, marketing, sales, medical, data, and technology to operationalize analytics and AI at scale </li></ul> <p>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.</p> <p>We anticipate this job posting will be posted on 03/02/2026 and open for at least 28 days.</p> <p>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:</p> <p>U.S. Employee Benefits | Accenture</p> <p>Role Location Annual Salary Range</p> <p>California $94,400 to $293,800</p> <p>Cleveland $87,400 to $235,000</p> <p>Colorado $94,400 to $253,800</p> <p>District of Columbia $100,500 to $270,300</p> <p>Illinois $87,400 to $253,800</p> <p>Maryland $94,400 to $253,800</p> <p>Massachusetts $94,400 to $270,300</p> <p>Minnesota $94,400 to $253,800</p> <p>New York $87,400 to $293,800</p> <p>New Jersey $100,500 to $293,800</p> <p>Washington $100,500 to $270,300</p> <p>Locations</p>