Reinventive Enterprise - AI Transformation Office - Value Architect Strategy Manager

We are: Accenture helps the world's leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed and scale. We are a talent- and innovation-led company with approximately 799,000 people serving clients in more than 120 countries. Accenture's Life Sciences Reinventive Enterprise practice leads AI-driven enterprise transformation at the world's leading pharmaceutical and biotechnology organizations.

We deploy the Reinvention Force: a human + AI team of Transformers, Workforce Architects, and AI & Data Innovators that makes reinvention real at enterprise scale. This is a high-visibility, high-impact practice with strong momentum and a clear path to Managing Director for high performers. About the role: The Value Architect is the analytical engine of the Reinvention Force. This role builds and owns the financial models, value cases, and AI impact quantification that underpin every transformation engagement.

Value Architects are embedded in each engagement — focused on identifying and sizing value opportunities and tracking and reporting value realization. Together they ensure every reinvention decision is grounded in data and every milestone connects back to measurable business impact.

The work: Define value KPIs for each transformation program and ensure teams apply business process standards from the Process Blueprint Lead Build the value identification framework mapping each reinvention initiative to specific, quantified business outcomes (FTE capacity, cost, revenue, cycle time) Develop and maintain financial models covering investment, value, timeline, and risk — keeping them current as engagements evolve Produce value realization reports tracking actual outcomes against the business case and surfacing early signals of delivery success or risk Support preparation of

C-suite and Board-level materials translating quantitative analysis into clear executive narrative Apply the Wharton economic value model and Accenture's Reinvention Roadmap to size opportunity across speed to market, capacity, decision quality, and experience dimensions You are: An experienced practitioner with proven delivery expertise in your domain. You are analytically rigorous and structured in your thinking. You communicate complex ideas clearly to senior stakeholders. You are comfortable operating in ambiguous environments and thrive in cross-functional delivery teams.

You have supported business development and are ready to take on more. You bring intellectual curiosity, drive, and a genuine interest in how AI is transforming the Life Sciences industry. Candidates must have at least 5 years of combined experience in the following areas: Financial modeling, value case development, or business case analysis at a top-tier consulting firm, corporate finance function, or in-industry strategy role, with demonstrated ability to build and defend complex investment cases.

A proven track record developing and presenting financial models — including DCF, NPV, sensitivity analysis, and scenario modeling — to senior leadership and C-suite stakeholders. Experience quantifying the business impact of technology or AI investments, translating technical capabilities into P&L impact with appropriate rigor. Strong data literacy and ability to produce clear, executive-ready analytical narrative from complex quantitative work. Experience collaborating across multidisciplinary teams including consultants, technologists, and change practitioners.

Willingness and ability to travel domestically and internationally as client and business needs require. Preferred skills/experience: MBA or advanced degree in finance, economics, or a quantitative discipline. Experience with the Wharton AI economic value model or equivalent ROI quantification frameworks for enterprise AI programs. Familiarity with Life Sciences value drivers across Life Sciences enterprise, commercial, manufacturing, and regulatory functions. Experience with advanced analytics or data visualization tools (Tableau, Power BI, or equivalent).

Exposure to AI FinOps and the economic modeling of agentic AI infrastructure costs within transformation business cases. 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 11/05/2026.

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: U.S.

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businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships.

We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

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• Minimum 5 years’ experience in financial modeling, value case development, or business case analysis at top-tier consulting, corporate finance, or strategy roles.
• Proven ability to develop and present complex financial models (DCF, NPV, sensitivity, scenario) to senior leadership and C-suite.
• Strong data literacy, executive communication skills, and experience collaborating with multidisciplinary teams; willingness to travel.