Population Health Manager

Job Summary We are looking for a Healthcare Provider AI Decision Science Manager to lead the delivery of data science, artificial intelligence, and analytics initiatives for healthcare provider clients. This role requires a blend of technical expertise, strategic thinking, and leadership skills to deliver innovative solutions aligned with Accenture’s commitment to driving 360° value for clients. Responsibilities Lead the delivery of Data Science, Artificial Intelligence, and Analytics initiatives for healthcare provider clients. Manage teams both onshore and offshore across Data Science & Machine Learning. Work with provider clients, co-creating solutions using our platforms and AI tooling to move from idea to working solution in days and weeks. Bridge between business and technical domains for internal and external stakeholders. Engage with business and analytics stakeholders to build and maintain relationships. Lead the sales process, originate, and lead sales solutioning for Data Science & Machine Learning related opportunities. Develop and customize Data Science / Machine Learning / Artificial Intelligence / 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. Develop Data Science/Machine Learning / Artificial Intelligence talent within the organization. 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 reimagine the future way of working for clinical and operational teams. 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. Qualifications Bachelor’s Degree, preferably in Data Science, Computer Science, Statistics, or a related field. 5+ 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). Hands‑on experience using Claude or an equivalent frontier AI tool. 5+ years of experience building decision‑based frameworks and models to drive insights. 5+ years of high‑value consulting experience or equivalent internal consulting experience. 5+ years of experience leading workstreams and meeting deadlines. 5+ years of large‑scale delivery experience with minimal help. Proven track record of delivering successful AI or data science projects and teams. 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., Open AI, 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). Experience in sales and business development. 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 and written. Excellent 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. Master’s degree in Data Science, Computer Science, Statistics, or a related field. Experience delivering AI or technology programs inside provider organizations. Travel Ability to travel up to 80%; travel as needed based on client expectations. Compensation Compensation varies by location and depends on many factors. The following ranges are provided: California $94,400 to $293,800 Cleveland $87,400 to $235,000 Colorado $94,400 to $253,800 District of Columbia $100,500 to $270,300 Illinois $87,400 to $253,800 Maine $80,400 to $216,200 Maryland $94,400 to $253,800 Massachusetts $94,400 to $270,300 Minnesota $94,400 to $253,800 New York $87,400 to $293,800 New Jersey $100,500 to $293,800 Virginia $87,400 to $270,300 Washington $100,500 to $270,300 Benefits Accenture offers a market‑competitive suite of benefits including medical, dental, vision, life, long‑term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. Accommodation Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Equal Employment Opportunity Statement 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, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. #J-18808-Ljbffr