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.
This job description is intended to describe the general nature and level of work being performed and is not to be construed as an exhaustive list of responsibilities, duties and skills required. This job description does not constitute an employment agreement and is subject to change as the needs of Cotiviti and requirements of the job change.
Qualifications
Bachelors 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.
Cognitive/Mental Requirements
Foster a collaborative, learning-oriented culture that unites all facets of product development.
Effective communication and teamwork skills.
Proven ability to handle sensitive information with discretion and professionalism.
Strong organizational and time management skills, with the ability to prioritize tasks and meet deadlines.
Ability to work both independently and collaboratively, with a strong sense of urgency.
Working Conditions and Physical Requirements
Flexibility to work effectively with diverse teams across different time zones and geographical locations.
Repeating motions that may include the wrists, hands, and/or fingers.
Must be able to provide a dedicated, secure work area.
Must be able to provide high-speed internet access / connectivity and office setup and maintenance.
Base compensation ranges from $100,000 to $140,000 per year. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs.
Cotiviti offers team members a competitive benefits package to address a wide range of personal and family needs, including medical, dental, vision, disability, and life insurance coverage, 401(k) savings plans, paid family leave, 9 paid holidays per year, and 17-27 days of Paid Time Off (PTO) per year, depending on specific level and length of service with Cotiviti. For information about our benefits package, please refer to our Careers page.
Since this job will be based remotely, all interviews will be conducted virtually.
Date of posting: 9/10/2026
Applications are assessed on a rolling basis. We anticipate that the application window will close on 11/10/2026, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected.
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