Healthcare Provider AI Decision Science Manager/Senior Manager
Job in
Overland, St. Louis County, Missouri, USA
Listed on 2026-07-25
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
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
- 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, 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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