Life Sciences Manager — Commercial Strategy & Transformation, Data/AI
accentureMinneapolis (MN)
Life Sciences Manager — Commercial Strategy & Transformation, Data/AI
Posted today
accentureMinneapolis (MN)
SENIORITY
Manager
About the role
Overview:
In this role you drive enterprise-scale commercial transformation for life sciences clients, shaping future-state operating models and AI-enabled roadmaps. You will lead cross-functional workstreams across field, marketing, access, patient services, medical, and commercial operations. You’ll identify where AI and data can unlock measurable value, design governance and data workflows, and translate insights into practical transformation plans. This position offers visibility across client leadership and the chance to influence how the industry works with AI at scale. Compensation / Benefits medical, dental, vision, life, and long-term disability coverage 401(k) plan bonus opportunities paid holidays paid time off
Responsibilities:
Lead workstreams to translate commercial ambition into operating models, workflows, governance, and AI-enabled roadmaps Identify AI, analytics, automation, copilots, or agentic workflows that unlock measurable value Frame AI/data approaches for priority use cases, including data inputs, governance, and value measurement Assess current-state processes, data flows, dependencies, and value leakage points Develop future-state workflows, capability models, business cases, and transformation roadmaps Facilitate cross-functional design sessions with business, technology, analytics, and operations stakeholders Anticipate risks and shifting client priorities while keeping delivery outcomes in focus Shape objectives into clear plans, hypotheses, analyses, and deliverables Lead workstreams and coach analysts/consultants to client-ready outputs Manage day-to-day client relationships, sessions, feedback, risks, and next steps Apply life sciences commercial knowledge to connect strategy, operating model, process, data, technology, and talent implications Define value opportunities and KPIs, baseline assumptions, adoption metrics, and tracking mechanisms Use data-driven storytelling to link recommendations to measurable business value Prioritize AI/data use cases by value, feasibility, adoption risk, workflow fit, governance, and measurability Understand AI/analytics approaches (rules-based, predictive, GenAI, copilots, agents) and apply them appropriately Provide a cutting-edge perspective on AI/data use cases, model limitations, and adoption risks Support proactive commercial reinvention opportunities and proposals Contribute to thought leadership with reusable perspectives and market-facing viewpoints on AI-enabled transformation
Key requirements:
6+ years in life sciences commercial functions or transformation 6+ years in life sciences commercial transformation, strategy, operating model, or AI/data strategy 5+ years in strategy consulting or equivalent internal corporate strategy role Bachelor's Degree strong client management and relationship-building facilitation and executive communication problem-solving and storytelling AI/data strategy and use-case framing GenAI, copilots, workflow automation, agentic solutions designing future-state operating models and governance
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