Life Sciences Manager — Commercial Strategy & Transformation, Data/AI

Accenture; Atlanta (GA); On-site; USD 87,000 - 253,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision coverage

Life insurance

Long-term disability

401(k) plan

Bonus opportunities

Paid holidays

Paid time off

Job summary

Accenture is seeking a Manager to lead life sciences commercial transformation initiatives across field, marketing, access, patient services, medical, and operations. The role emphasizes AI/data fluency to enable future ways of working and measurable value.

You will guide client workstreams, design operating models, and drive transformation roadmaps with cross-functional teams, shaping value through data-driven insights and governance.

Qualifications

• 6+ years in life sciences commercial roles or cross-functional work.
• 6+ years in life sciences commercial transformation, strategy, operating model or AI/data strategy.
• 5+ years in strategy consulting, professional services, or equivalent internal strategy role.
• Bachelor's Degree required.

Responsibilities

• Lead client workstreams translating commercial ambition into future-state operating models and AI/data-enabled roadmaps.
• Frame AI/data approach for priority use cases, data requirements, governance, and value measurement.
• Assess current processes, governance, data flows, and dependencies to identify improvements.
• Build future-state workflows, capability models, and transformation roadmaps; facilitate cross-functional design sessions.

Skills

Life sciences

AI/data strategy

Strategy consulting

Leadership

Education

Bachelor's Degree

Tools

PowerPoint

Excel

Job description

Overview

Join our Life Sciences Industry & Enterprise practice to help leading pharma, biotech, and medtech clients reinvent how commercial work gets done. This role focuses on commercial transformation across field, marketing, market access, patient services, medical, and commercial operations, with AI/data fluency as a core enabler of future ways of working and measurable value creation.

What would you do?

As a Manager, you will lead client workstreams that translate commercial ambition into future-state operating models, redesigned workflows, governance, capabilities, and AI/data-enabled transformation roadmaps.

Your work could include:

• 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

In this role you will be expected to:

• 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 — including rules‑based automation, predictive models, GenAI, copilots, and agents — 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

Growth Opportunities

You will continue to grow through:

• 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

Who do we need?

We would love to hear from you if you have:

Basic Qualifications

• 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

Preferred Qualifications

• 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 workflows, cross‑functional handoffs, governance, and capability needs
• Ability to translate AI/data concepts into practical business use cases, transformation roadmaps, and measurable value opportunities
• Working knowledge of how different AI/model types work and where they are best applied, including predictive analytics, GenAI, copilots, workflow automation, and agentic solutions
• Experience designing or shaping AI‑enabled workflows or agents, including defining use case objectives, input/output requirements, data and system dependencies, decision rights, orchestration logic, guardrails, testing approach, and measurement criteria
• 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
• Experience building future‑state operating models, process maps, capability models, governance models, business cases, value cases, or implementation plans
• Proactive mindset around innovative ways of working, including how AI, automation, copilots, and agentic workflows can improve productivity, quality, collaboration, and speed of execution for external project and internal Accenture work
• Comfort partnering with technology, analytics, AI, and platform teams while staying anchored in the business problem
• Strong problem‑solving, storytelling, PowerPoint, Excel, facilitation, and executive communication skills

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.

U.S. Employee Benefits | Accenture

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.

• medical
• dental
• vision
• life
• long‑term disability coverage
• a 401(k) plan
• bonus opportunities
• paid holidays
• paid time off

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

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