• Redesigning commercial operating models across field, marketing, access, patient services, medical, and commercial operations

• Identifying where AI, analytics, automation, copilots, or agentic workflows can unlock measurable value by improving speed, scale, quality, decision-making, productivity, customer engagement, or ways of working

• Framing the right AI/data approach for priority use cases, including required data inputs, workflow integration, human-in-the-loop controls, governance considerations, and value measurement

• Assessing current-state processes, handoffs, governance, data flows, technology dependencies, and value leakage points

• Building future-state workflows, capability models, business cases, value cases, and transformation roadmaps

• Facilitating cross-functional design sessions with business, technology, analytics, and operations stakeholders

• Anticipate risks, dependencies, and shifting client priorities; prepare teams to pivot as programs evolve while keeping delivery focused on outcomes

• Shape ambiguous client objectives into clear workplans, hypotheses, analyses, and deliverables

• Lead workstreams and manage analysts/consultants to produce client-ready outputs

• Manage day-to-day client relationships, including working sessions, feedback, risks, and next steps

• Apply life sciences commercial knowledge to connect strategy, operating model, process, data, technology, and talent implications

• Define value unlock opportunities by identifying where commercial transformation and AI/data-enabled ways of working can drive growth, efficiency, quality, decision speed, customer impact, or better patient outcomes

• Translate value opportunities into measurable outcomes by defining value drivers, KPIs, baseline assumptions, adoption metrics, and tracking mechanisms to understand whether value is being realized in practice

• Use data-driven storytelling to link transformation recommendations, AI/data use cases, and future ways of working to measurable business value

• Prioritize AI/data use cases based on value potential, feasibility, adoption risk, workflow fit, governance needs, and ability to measure impact

• Understand how different AI / analytics approaches create value 6 including rules-based automation, predictive models, GenAI, copilots, and agents 6 and guide clients on when each is appropriate based on use case, data readiness, workflow complexity, risk, and required human oversight

• Possess a cutting-edge perspective on AI/data use cases, model limitations, agent design considerations, dependencies, and adoption risks; and guide clients through practical decision-making with those considerations in mind

• Support proactive commercial reinvention opportunities and proposals by shaping the client problem, strategic approach, workplan, and value story

• Contribute to thought capital by developing reusable perspectives, frameworks, case examples, and market-facing points of view on AI/data-enabled commercial transformation and future ways of working

• Leading enterprise commercial reinvention work for major life sciences clients

• Building expertise at the intersection of commercial strategy, operating model, AI/data, transformation, and value realization

• Developing expertise in how AI/data-enabled commercial transformation creates value, how value is measured, and how adoption translates into sustained business impact

• Partnering across Accenture to deliver integrated strategy, technology, analytics, and operations solutions

• Developing market-facing perspectives on AI-enabled commercial reinvention and future ways of working

• Minimum of 6 years of life sciences commercial cross one or more commercial functions: field, marketing, market access, patient services, medical, or commercial operations

• Minimum of 6 years Life sciences commercial transformation, commercial strategy, operating model, or AI/data strategy experience

• Minimum of 5 years of experience in strategy consulting, professional services, or an equivalent internal corporate-strategy role.

• Bachelor's Degree

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 until 09/12/2026.

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:

Role Location Annual Salary Range
California $87,400 to $253,000
Cleveland $87,400 to $253,000
Colorado $87,400 to $253,000
District of Columbia $87,400 to $253,000
Illinois $87,400 to $253,000
Maine $87,400 to $253,000
Maryland $87,400 to $253,000
Massachusetts $87,400 to $253,000
Minnesota $87,400 to $253,000
New York $87,400 to $253,000
New Jersey $87,400 to $253,000
Virginia $87,400 to $253,000
Washington $87,400 to $253,000