Life Sciences Manager — Commercial Strategy

Join our Life Sciences Industry & Enterprise practice to help leading pharma, biotech, and medtech clients define commercial strategy and reinvent how commercial work gets done. This role focuses on leading strategy work across asset/brand strategy, launch, portfolio growth, market access, patient services, functional transformation, operating model, process redesign, and AI/data-enabled reinvention.

Responsibilities

• Lead asset/brand strategy, launch, portfolio growth, market access, patient services, and broader commercial strategy workstreams.
• Assess market dynamics, customer needs, competitive landscapes, access considerations, and commercial growth opportunities.
• Translate strategic recommendations into functional or enterprise implications across operating model, process, governance, capability, talent, and technology.
• Identify where AI, analytics, automation, copilots, or agentic workflows can improve commercial decision-making, execution, or ways of working.
• Facilitate client discussions and synthesize research, interviews, benchmarks, and data inputs into executive-ready recommendations.
• Anticipate risks, dependencies, and shifting client priorities; prepare teams to pivot as programs evolve while keeping delivery focused on outcomes.
• Shape client objectives into clear workplans, hypotheses, analyses, and deliverables.
• Lead workstreams and manage analysts/consultants to produce high-quality, client-ready outputs.
• Manage day-to-day client relationships, including working sessions, feedback, and next steps.
• Apply life sciences commercial knowledge to connect asset, customer, access, functional, and enterprise implications.
• Bring a robust point of view on the “right answer” and shift from executor to advisor.
• Use structured problem solving and storytelling to communicate recommendations clearly and persuasively.
• Define value unlock opportunities by identifying where commercial strategy can drive growth, efficiency, differentiation, or better customer/patient outcomes; shape the value story, KPIs, and implications for leadership decisions.
• Support AI/data-enabled strategy and reinvention work by shaping use cases, workflow fit, required inputs, risks, governance, and human-in-the-loop considerations.
• Support proactive commercial strategy/reinvention opportunities and proposals by shaping the client problem, workplan, solution approach, and value story.
• Contribute to thought capital by developing reusable perspectives, frameworks, case examples, and market-facing points of view on priority commercial topics.

Growth Opportunities

• Leading high-priority commercial strategy and reinvention work for senior life sciences leaders.
• Building breadth across asset, function, and enterprise commercial strategy topics.
• Developing expertise in AI/data-enabled commercial strategy and future ways of working.
• Partnering across Accenture teams to bring together strategy, technology, analytics, operations, and industry expertise.
• Coaching analysts and consultants into future life sciences strategy practitioners.

Requirements

• Minimum of 6 years of life sciences commercial experience across asset/brand strategy, launch, portfolio growth, marketing, medical, market access, patient services, field, or commercial ops/transformation topics.
• Minimum of 5 years of experience in strategy consulting, professional services, or an equivalent internal corporate-strategy role.
• Bachelor's Degree.

Preferred Qualifications

• Ability to lead work across both asset-level strategy and functional/enterprise-level reinvention questions.
• Demonstrated ability to lead a workstream, manage clients, and coach junior team members.
• Strong client management skills, including ability to build trusted relationships, facilitate working sessions, manage feedback, align stakeholders, and communicate risks/tradeoffs clearly.
• Strong understanding of commercial strategy fundamentals such as market dynamics, customer behavior, access considerations, competitive positioning, value drivers, and launch/growth levers.
• Experience with operating model, process redesign, governance, capability building, transformation roadmap, or implementation planning work.
• Proactive mindset around innovative ways of working, including how AI, automation, copilots, and agentic workflows can improve productivity, quality, collaboration, and speed of execution.
• Working knowledge of AI/data concepts, including predictive analytics, GenAI, copilots, workflow automation, and agentic solutions.
• Practical understanding of how AI/data can be applied responsibly in commercial workflows, including where it creates value, what risks or dependencies must be managed, and how to support adoption with appropriate human oversight.
• Comfort partnering with technology, analytics, AI, and platform teams while staying anchored in the business problem.
• Strong PowerPoint, Excel, written communication, storytelling, facilitation, and executive communication skills.

Pay

Compensation at Accenture varies depending on a wide array of factors, including but not limited to the specific office location, role, skill set, and level of experience. The following ranges are provided as required by local law:

• 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

Benefits

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.