Healthcare Payer AI Decision Science Manager/Senior Manager

About the role

This is an industry-specific role focused on the healthcare provider domain—designing AI solutions that work inside the realities of the electronic medical record and clinical workflows, and helping define the future of healthcare interoperability.

Responsibilities

• 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 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 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.

Requirements

• Ability to travel up to 80%; travel as needed based on client expectations.

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:
• 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 (both spoken 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.
• You have 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.

Skills

• Ability to lead complex projects and manage cross-functional teams.
• Strong analytical and problem-solving skills.
• Experience with machine learning and AI technologies.
• Ability to communicate effectively with both technical and non-technical stakeholders.
• Strong project management and organizational skills.
• Experience with data visualization tools.
• Ability to work independently and as part of a team.
• Strong interpersonal and communication skills.

Benefits

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.