Life Sciences Commercial Strategy Manager — AI & Growth

Accenture PLC; Columbus (OH); On-site; USD 87,000 - 253,000; Full time

Job summary

Accenture in the United States is seeking a Manager to lead client workstreams in life sciences commercial strategy, asset launches, portfolio growth, and enterprise transformation. You will translate research, interviews, and benchmarks into executive-ready recommendations.

You will manage analysts, shape objectives, and drive AI/data-enabled reinvention across operating model, governance, and processes while partnering with cross-functional teams to deliver measurable growth and improved

Qualifications

• Minimum of 6 years of life sciences commercial experience across asset / brand strategy, launch, portfolio growth, marketing, market access, patient services, 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 required.

Responsibilities

• Lead client workstreams that help life sciences organizations make critical commercial decisions.
• Shape client objectives into clear workplans, hypotheses, analyses, and deliverables.
• 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.
• Forecast risks, dependencies, and shifting client priorities; pivot as programs evolve.
• Use structured problem solving and storytelling to communicate recommendations clearly and persuasively.

Skills

Life sciences strategy

Strategy consulting

Education

Bachelor's Degree

Job description

Accenture in the United States is seeking a Manager to lead client workstreams in life sciences commercial strategy, asset launches, portfolio growth, and enterprise transformation. You will translate research, interviews, and benchmarks into executive-ready recommendations.

You will manage analysts, shape objectives, and drive AI/data-enabled reinvention across operating model, governance, and processes while partnering with cross-functional teams to deliver measurable growth and improved