Healthcare Provider AI Decision Science Consultant

Overview Position: Healthcare Provider AI Decision Science Consultant – design AI solutions for healthcare providers, leveraging advanced analytics, machine learning, and AI to build decision‑making systems. Responsibilities Assist in the delivery of Data Science, Artificial Intelligence, Analytics initiatives and programs for healthcare provider clients. Collaborate with onshore and offshore teams to execute projects. Work forward‑deployed with provider clients, co‑creating solutions using our platforms and AI tooling to move quickly from idea to working solution. Understand and bridge between business and technical domains (for both internal and external purposes). Engage with business and analytics stakeholders to understand their needs and build relationships. Support the sales process by contributing to sales solutioning for DS & ML related opportunities. Develop and customize DS/ML/AI/Analytics models and solutions for specific business problems within an industry or function. Help scope provider‑focused AI programs, identifying where AI can automate or augment clinical and administrative work across documentation, orders, and care coordination. Collaborate across Accenture’s network and partner with strategy, consulting, and tech teams in the sales and delivery processes. Identify AI use cases in an industry and/or function by understanding an organization’s goals and areas of need, developing the business case, determining ROI, and creating the transformation roadmap. Contribute to the technical architecture of AI programs in provider environments—designing around the EMR/EHR and healthcare interoperability standards—and help re‑imagine the future way of working for clinical and operational teams rather than simply automating today’s processes. Advise organization on adoption of responsible AI solutions and governance by training users on new processes, maintaining solutions, tracking results, and communicating the realized value. Travel Ability to travel up to 80%; travel as needed based on client expectations. Required Qualifications Bachelor’s Degree, preferably in Data Science, Computer Science, Statistics, or a related field. 3+ years of experience in Data Science, Machine Learning, AI, or Advanced Analytics. Preferred Qualifications Understanding of how the EMR/EHR works and how the health record is structured, with familiarity with provider workflows such as clinical documentation, orders, and care coordination. Working knowledge of healthcare interoperability standards and exchange (e.g., FHIR, HL7, and the broader exchange landscape). Hands‑on experience using Claude or an equivalent frontier AI tool to do the work. 3+ years of experience building decision‑based frameworks and models to drive insights. 3+ years of high‑value consulting experience or equivalent internal consulting experience. 3+ years of experience leading workstreams and meeting deadlines. 3+ years of large‑scale delivery experience with minimal help. Proven track record of developing and implementing data‑driven solutions. Proficiency in programming languages such as Python, R, or SQL. Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit‑learn). Strong analytical and problem‑solving skills. Experience with AI Native and cloud platforms (e.g., OpenAI, Anthropic, AWS, Azure, Google Cloud). Knowledge of big data technologies (e.g., Hadoop, Spark). Knowledge of agent‑based modeling, reinforcement learning, and autonomous systems is highly desirable. Familiarity with data visualization tools (e.g., Tableau, Power BI). Strong program management and communication skills, both verbal and written. Fluent in English (both spoken and written). You have experience bringing innovative ideas to projects. Master’s degree in Data Science, Computer Science, Statistics, or a related field. Experience delivering AI or technology programs inside provider organizations. Compensation Compensation varies based on location, role, skill set, and experience. Annual Salary Range by location: California $70,350 to $205,800 Cleveland $59,100 to $164,600 Colorado $63,800 to $177,800 District of Columbia $68,000 to $189,300 Illinois $59,100 to $177,800 Maine $54,400 to $151,400 Maryland $63,800 to $177,800 Massachusetts $63,800 to $189,300 Minnesota $63,800 to $177,800 New York $66,300 to $205,800 New Jersey $68,000 to $205,800 Virginia $59,100 to $189,300 Washington $80,200 to $189,300 Benefits 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. Equal Employment Opportunity Accenture is an EEO and affirmative action employer of veterans/individuals with disabilities. We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Accenture is an EEO and affirmative action employer of Veterans/Individuals with Disabilities. #J-18808-Ljbffr Ultimate LLC