Remote AI/ML Program Leader | Data-Driven Product Delivery

Cotiviti; United States; Remote; USD 100,000 - 140,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

Disability and life insurance

401(k) savings plan

Paid family leave

Job summary

Cotiviti is seeking an AI Program/Project Manager to drive the development and deployment of AI/ML solutions. You will align data engineering, AI, and business teams, shaping roadmaps and delivering high-impact MVPs while communicating progress to executives.

You will partner with engineering and data science teams, ensuring timely, scalable deployments and rigorous performance monitoring across production environments. This role emphasizes collaboration, measurement, and value delivery.

Qualifications

• Bachelor's or Master’s degree in Engineering, Computer Science, or other technical related field; or an equivalent combination of education and experience.
• 5+ years of technical product/program management experience with 4+ years delivering data product solutions within an AI/ML solutions portfolio preferably in a healthcare domain.
• Data driven program manager with skills in product requirements that are concise, with clear, measurable success criteria.
• Strong understanding of data engineering and AI/ML project lifecycles and data platform ecosystems (Databricks experience a plus).
• Excellent communication skills, ability to make informed trade-offs, and a data-driven approach to planning and execution.
• Experience in translating complex technical concepts into clear and understandable language for both technical and non-technical audiences.
• Driven and energetic, with a strong foundation in data engineering and and product strategy.
• Proven experience leading cross-functional teams and delivering results.
• Collaborative and curious with a passion for driving value through AI/ML and data-driven solutions.
• Results-oriented, measuring success by the value delivered, not the hours worked.
• Proficiency in all required skills and competencies above.

Responsibilities

• Collaborate with cross-functional teams to define the AI/ML solution vision, scope, dependencies and risks.
• Partner with Engineering to develop and maintain the solution roadmap, prioritized backlog, and clear deliverables aligned with project objectives and key results.
• Lead the delivery of high-quality AI/ML solutions, ensuring adherence to timelines, scope, and quality standards to deliver impactful solutions.
• Own and prioritize the AI/ML solution roadmap to deliver high-value MVPs quickly.
• Lead efforts to gather and communicate progress, metrics and key results to leadership, executive team, internal partners and other stakeholders via presentations and reporting.
• Represent the program and team, effectively communicating with executives and stakeholders.
• Collaborate with business stakeholders to deeply understand their needs and challenges, translating them into clear problem statements and objectives.
• Work with R&D and Operations to identify business problems, evaluate the potential of AI/ML solutions, and assess associated risks and benefits.
• Partner with Operations to ensure seamless deployment of models into production environments and provide ongoing support for model performance monitoring and optimization.
• Work with other data science teams to share best practices, collaborate on projects, and support broader data science initiatives across the organization.
• Drive data-driven decision-making, utilizing data analytics to optimize program performance and achieve strategic objectives.
• Complete all responsibilities as outlined in the annual performance review and/or goal setting.
• Complete all special projects and other duties as assigned.
• Must be able to perform duties with or without reasonable accommodation.

Job description

Cotiviti is seeking an AI Program/Project Manager to drive the development and deployment of AI/ML solutions. You will align data engineering, AI, and business teams, shaping roadmaps and delivering high-impact MVPs while communicating progress to executives.

You will partner with engineering and data science teams, ensuring timely, scalable deployments and rigorous performance monitoring across production environments. This role emphasizes collaboration, measurement, and value delivery.