Healthcare AI Value Strategy Manager

Accenture•Milwaukee, NY

7d•Remote

About The Position

This is an industry-specific role dedicated to healthcare—spanning payer and provider clients—where you will help define the future of health and lead the realization of value from AI at scale. As a Healthcare AI Value Strategy Manager, you will: Shape vision and create opportunities for AI, GenAI and data led business reinvention across payer and provider organizations. Build client relationships and credibility as a trusted advisor on how to infuse AI, GenAI and data into the business processes or functions. Work forward-deployed with clients, co-creating solutions using our platforms and AI tooling to move from idea to working solution in days and weeks. Define and structure an organization’s AI and data strategy to build and optimize data assets, AI technologies for growth & competitive advantages. Assess maturity of an organization’s AI and Data strategy, talent, operating model, ways of working and data foundation. Define building blocks required to convert to an AI-first organization, including technology and AI platform blueprint, data strategy and future-ready operating model. Create the business case, investment profile and roadmap to deliver on the strategy (including revenue upside as well as cost-takeout opportunities), and define how value will be realized and tracked after deployment—value management, not just delivery. Infuse Responsible AI in vision and roadmap, develop plan for leveraging ecosystem partners, and define operating model to foster a culture of innovation and experimentation. Identify people, processes, and technologies to develop and operationalize AI solutions. Create strategy for AI-first products and develop commercialization opportunities. Ability to travel up to 80%; travel as needed based on client expectations.

Requirements

Bachelor’s Degree
A minimum of 5 years of experience working within AI and Data Strategy Space including specific skills and experiences around Enterprise & Function-Specific Data Strategy, Talent Strategy, Value Case Development, value realization and management, Data Management, Data Analysis, Data Management, Client Assessments, Roadmap, Requirements Gathering, Responsible AI, leading tech driven transformations
A minimum of 5 years of high value consulting experience or equivalent internal consulting experience
A minimum of 5 years of experience leading workstreams and meeting deadlines
A minimum of 5 years of large-scale global delivery experience
A minimum of 3 years of experience delivering in the healthcare industry (payer or provider)
Hands-on experience using Claude or an equivalent frontier AI tool to do the work
Strong program management and communication skills, both verbal and written
Driven and entrepreneurial: ability to originate and shape new deals, lead in client conversations, and go to market activities.
Fluent in English (both spoken and written)
Leadership and people skills: proven ability to build effective teams and foster a collaborative and inclusive environment and proven ability to build strong client relationships.
Experience bringing innovative ideas to projects

Nice To Haves

Master’s degree in a relevant field
Familiarity with healthcare data, interoperability, and the regulatory environment (e.g., HIPAA, CMS)

Responsibilities

Shape vision and create opportunities for AI, GenAI and data led business reinvention across payer and provider organizations.
Build client relationships and credibility as a trusted advisor on how to infuse AI, GenAI and data into the business processes or functions.
Work forward-deployed with clients, co-creating solutions using our platforms and AI tooling to move from idea to working solution in days and weeks.
Define and structure an organization’s AI and data strategy to build and optimize data assets, AI technologies for growth & competitive advantages.
Assess maturity of an organization’s AI and Data strategy, talent, operating model, ways of working and data foundation.
Define building blocks required to convert to an AI-first organization, including technology and AI platform blueprint, data strategy and future-ready operating model.
Create the business case, investment profile and roadmap to deliver on the strategy (including revenue upside as well as cost-takeout opportunities), and define how value will be realized and tracked after deployment—value management, not just delivery.
Infuse Responsible AI in vision and roadmap, develop plan for leveraging ecosystem partners, and define operating model to foster a culture of innovation and experimentation.
Identify people, processes, and technologies to develop and operationalize AI solutions.
Create strategy for AI-first products and develop commercialization opportunities.