Healthcare Payer AI Decision Science Manager

Accenture•Boston, MA

4d•$80,400 - $293,800•Onsite

About The Position

Accenture helps the world’s leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client-focused, AI-enabled, great place to work in the world. We bring together the talent of our approximately 799,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes at scale. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately $70 billion in FY25 revenue. Visit us at www.accenture.com. We work with C-suite executives, leaders and boards of the world’s leading organizations, helping them reinvent every part of their enterprise to drive greater growth, enhance competitiveness, implement operational improvements, reduce cost, deliver sustainable 360° stakeholder value, and set a new performance frontier for themselves and the industry in which they operate. Our deep industry and functional expertise is supported by proprietary assets and solutions that help organizations transform faster and become more resilient. 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. 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.

Requirements

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.
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.
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.

Nice To Haves

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.
Knowledge of agent-based modeling, reinforcement learning, and autonomous systems is highly desirable.
Master’s degree in Data Science, Computer Science, Statistics, or a related field.
Experience delivering AI or technology programs inside provider organizations.

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.