Strategy Manager

Commercial Transformation ManagerJoin 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.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 operationsIdentifying 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 workingFraming the right AI/data approach for priority use cases, including required data inputs, workflow integration, human-in-the-loop controls, governance considerations, and value measurementAssessing current-state processes, handoffs, governance, data flows, technology dependencies, and value leakage pointsBuilding future-state workflows, capability models, business cases, value cases, and transformation roadmapsFacilitating cross-functional design sessions with business, technology, analytics, and operations stakeholdersIn 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 outcomesShape ambiguous client objectives into clear workplans, hypotheses, analyses, and deliverablesLead workstreams and manage analysts/consultants to produce client-ready outputsManage day-to-day client relationships, including working sessions, feedback, risks, and next stepsApply life sciences commercial knowledge to connect strategy, operating model, process, data, technology, and talent implicationsDefine 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 outcomesTranslate 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 practiceUse data-driven storytelling to link transformation recommendations, AI/data use cases, and future ways of working to measurable business valuePrioritize AI/data use cases based on value potential, feasibility, adoption risk, workflow fit, governance needs, and ability to measure impactUnderstand 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 oversightPossess 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 mindSupport proactive commercial reinvention opportunities and proposals by shaping the client problem, strategic approach, workplan, and value storyContribute 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 workingGrowth OpportunitiesYou will continue to grow through:Leading enterprise commercial reinvention work for major life sciences clientsBuilding expertise at the intersection of commercial strategy, operating model, AI/data, transformation, and value realizationDeveloping expertise in how AI/data-enabled commercial transformation creates value, how value is measured, and how adoption translates into sustained business impactPartnering across Accenture to deliver integrated strategy, technology, analytics, and operations solutionsDeveloping market-facing perspectives on AI-enabled commercial reinvention and future ways of workingWho do we need?We would love to hear from you if you have:Minimum of 6 years of life sciences commercial cross one or more commercial functions: field, marketing, market access, patient services, medical, or commercial operationsMinimum of 6 years Life sciences commercial transformation, commercial strategy, operating model, or AI/data strategy experienceMinimum of 5 years of experience in strategy consulting, professional services, or an equivalent internal corporate-strategy role.Bachelor's DegreePreferred QualificationsDemonstrated ability to lead a workstream, manage clients, and coach junior team membersStrong client management skills, including ability to build trusted relationships, facilitate working sessions, manage feedback, align stakeholders, and communicate risks / tradeoffs clearlyStrong understanding of commercial workflows, cross-functional handoffs, governance, and capability needsAbility to translate AI/data concepts into practical business use cases, transformation roadmaps, and measurable value opportunitiesWorking knowledge of how different AI/model types work and where they are best applied, including predictive analytics, GenAI, copilots, workflow automation, and agentic solutionsExperience 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 criteriaPractical 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 oversightExperience building future-state operating models, process maps, capability models, governance models, business cases, value cases, or implementation plansProactive 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 workComfort partnering with technology, analytics, AI, and platform teams while staying anchored in the business problemStrong problem-solving, storytelling, PowerPoint, Excel, facilitation, and executive communication skills