Healthcare Provider AI Decision Science Manager​/Senior 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.

• 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.

• 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.

• 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 work streams 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., Tensor Flow, 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…