Healthcare Payer AI Decision Science Manager / Senior Manager

Job title: Healthcare Payer AI Decision Science Manager / Senior Manager

About the Role Healthcare Payer AI Decision Science Manager is an industry-specific leadership role focused on delivering AI and data science solutions for healthcare payer clients. You will lead end-to-end data science projects, design AI-enabled decision systems within EMR and clinical workflows, and help reimagine payer operations toward safer, interoperable, and value-driven outcomes. This role requires blending technical excellence with strategic leadership and the ability to partner across business and technology teams.

What You'll Do

• Lead the delivery of Data Science, Artificial Intelligence, Analytics initiatives / programs for healthcare payer clients
• Manage teams both onshore and offshore across Data Science & Machine Learning
• Work forward-deployed with payer clients, co-creating solutions using our platforms and AI tooling to move from idea to working solution in days and weeks
• Understand and bridge between business and technical domains (for 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 payer-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 payer environments, designing for payer data and compliance constraints, and help reimagine the future way of working for payer operations 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
• Ability to travel up to 80%; travel as needed based on client expectations.

What We're Looking For

• 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
• 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)
• 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

Nice to Have

• Knowledge of agent-based modeling, reinforcement learning, and autonomous systems is highly desirable