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Healthcare Provider AI Decision Science Manager​/Senior Manager

Job in Overland, St. Louis County, Missouri, USA
Listing for: Accenture
Full Time position
Listed on 2026-07-25
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 140000 - 190000 USD Yearly USD 140000.00 190000.00 YEAR
Job Description & How to Apply Below

Our Decision Science practitioners use Industry & Functional domain expertise along with agentic AI knowledge to design, develop, and reinvent processes with AI to drive efficiency and growth. You will be responsible for managing end-to-end data science projects, leveraging advanced analytics, machine learning, and AI technologies to create decision‑making systems. 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.

Role
  • Lead the delivery of Data Science, Artificial Intelligence, Analytics initiatives / programs for healthcare provider clients
  • Manage teams both onshore and offshore across Data Science & Machine Learning
  • Work forward‑deployed with provider clients, co‑creating solutions using our platforms and AI tooling to move from idea to working solution in days and weeks
  • Understand and be able to bridge between business and technical domains (for both internal and external purpose)
  • 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 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
Here’s What You Need
  • 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, and the broader exchange landscape)
  • Hands‑on experience using Claude or an equivalent frontier AI tool to do the work
  • 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…
Position Requirements
10+ Years work experience
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