Job description

We are seeking an experienced Manager, Engineering- AI to lead our data engineering team. This individual will play a crucial role in overseeing the development of strategic perspectives regarding IT architecture and business needs. The Manager of Engineering will develop and implement data architecture and engineering strategies leveraging innovations in AI while exemplifying strong software development experience when working in an Agile environment. This individual will provide guidance to employees in accordance with established policies and management directives. • Will quickly possess an understanding of Cotiviti and is adept at working across organizational boundaries partnering with Business Leads and Functional Product Managers while maintaining a strategic perspective regarding IT architecture and business needs. • Drive, develop, and implement a data engineering architecture leveraging AI to ensure alignment with company performance objectives. • Drive, develop and implement templates, reference architectures and patterns with respect to implementing modern data engineering architecture pipelines connecting data sources on prem and within the cloud • Partner with Architecture and Product teams and contribute to the data product strategy, enhance data literacy of the several data assets within Cotiviti • Stay on top of the AI trends to ensure that we are leveraging them to ensure data engineering team efficiency, productivity and architectural relevance • Responsible for managing internal stakeholders and speaking with the client on behalf of the organization as needed. • Responsible for managing and evaluating staff performance for professional development of the staff members to include: conducting objective-setting goals, coaching, assessment, and mentoring activities. • The Manager will have significant latitude in defining results, selecting alternatives, and taking action across a range of products. • Will have primary knowledge, control, and influence of IT decisions for his/her area of responsibility, including optimizing service costs through a mix of internal and external resources for all aspects of development. • Working with the HIPAA Privacy and Security Officer and HIPAA Security Compliance team, ensuring all information systems and networks operate according to internal standards, external accrediting agency standards, regulatory agencies and legal requirements. In coordination with key personnel, develop and implement the following plans: disaster plan, emergency mode operation plan, backup plan, physical security plan, personnel security plan, access policies, and others. Ensure each plan is tested and revise plans as necessary to ensure data integrity, confidentiality, and availability. • Hire, develop, coach, lead and retain top-tier talent, with a focus on building and improving a team and culture that is able to assist in employing best in class practices to support and drive high levels of internal and external customer satisfaction. • 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. • Bachelor’s degree or equivalent work experience • 7+ years of total data engineering/IT/Project Management experience out of which at least 2 years must be management experience. • 2+ years’ experience leading small to mid-size projects through application of Project Management methodologies and artifacts. • 4+ years’ experience with data sets, Hadoop, Spark and/or other data integration/ETL tools like databricks, AWS tech stack, snowflake etc • 2+ years of experience working on AI engineering concepts and tools like RAG, Prompt Engineering, Langchain, LangGraph etc • Familiarity with ML Ops and LLM Ops capabilities and tools like Datarobot • 2+ years of hands-on experience in software development and database management. • Proficiency in Microsoft Office Suite. Preferred Qualifications: • Experience with healthcare data preferably in a data operations role. • Experience working in an Agile environment. Cognitive/Mental Requirements: • Ability to communicate simple and complex messages to the team in a manner that is clear, persuasive, and sincere. • Ability to summarize complex and/or technical information into easy-to-understand pieces, distinguishing message delivery from analysis. • Ability to apply organizational, industry knowledge to facilitate process improvement that optimizes functional area to positively impact strategic initiatives of the department and organization. • Ability to win trust and confidence of team members even when dealing with unpopular decisions. • Ability to lead and motivate team through day to day as well as during unclear or challenging conditions. • Ability to provide big picture vision, align goals with larger department and organizational ones. • Ability to develop well rounded skill sets regarding business, technical and interpersonal skills. • Ability to adjust quickly to changing assignments, processes and people while identifying opportunities to further growth and development of self and processes. • Ability to proactively manage and resolve conflict, help team find a ‘win-win’ solution. • Ability to break down silos that impact cooperations and partnership. • Ability to value team members as individuals while embraces differences. • Ability to deploy variety of techniques to establish rapport, gain commitment from and adapt to the decision-making styles of executives, department leaders and outside groups. • Ability to accomplish goals by setting appropriate objectives and planning effectively while monitoring plans and adjusting as needed to keep plans realistic and focused. • Ability to prioritize tasks against business prioritize, effectively manage time against priorities to accomplish them and allocate resources affectively to meet deadlines. • Ability to make sound situational decisions even in absence of precedent or experience. Working Conditions and Physical Requirements: • Remaining in a stationary position, often standing or sitting for prolonged periods. • 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. Pay Transparency: Base compensation ranges from $145,000.00 to $175,000.00. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs. This role is eligible for discretionary bonus consideration. 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: 9/21/2026 Applications are assessed on a rolling basis. We anticipate that the application window will close on 11/21/2026 but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected.

Requirements

Must-haves

Drive, develop, and implement a data engineering architecture leveraging AI to ensure alignment with company performance objectives.
Drive, develop and implement templates, reference architectures and patterns with respect to implementing modern data engineering architecture pipelines connecting data sources on prem and within the cloud
Partner with Architecture and Product teams and contribute to the data product strategy, enhance data literacy of the several data assets within Cotiviti
Stay on top of the AI trends to ensure that we are leveraging them to ensure data engineering team efficiency, productivity and architectural relevance
Responsible for managing internal stakeholders and speaking with the client on behalf of the organization as needed.
Responsible for managing and evaluating staff performance for professional development of the staff members to include: conducting objective-setting goals, coaching, assessment, and mentoring activities.
The Manager will have significant latitude in defining results, selecting alternatives, and taking action across a range of products.
Will have primary knowledge, control, and influence of IT decisions for his/her area of responsibility, including optimizing service costs through a mix of internal and external resources for all aspects of development.
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.
Bachelor’s degree or equivalent work experience
7+ years of total data engineering/IT/Project Management experience out of which at least 2 years must be management experience.
2+ years’ experience leading small to mid-size projects through application of Project Management methodologies and artifacts.
4+ years’ experience with data sets, Hadoop, Spark and/or other data integration/ETL tools like databricks, AWS tech stack, snowflake etc
2+ years of experience working on AI engineering concepts and tools like RAG, Prompt Engineering, Langchain, LangGraph etc
Familiarity with ML Ops and LLM Ops capabilities and tools like Datarobot
2+ years of hands-on experience in software development and database management.
Proficiency in Microsoft Office Suite.
Ability to communicate simple and complex messages to the team in a manner that is clear, persuasive, and sincere.
Ability to summarize complex and/or technical information into easy-to-understand pieces, distinguishing message delivery from analysis.
Ability to apply organizational, industry knowledge to facilitate process improvement that optimizes functional area to positively impact strategic initiatives of the department and organization.

Nice-to-haves

Experience with healthcare data preferably in a data operations role.
Experience working in an Agile environment.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiagileawsmlllm

Platform: icims
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Pto

Paid Time Off

Professional Development