Director Engineering - AI Native

Cotiviti•Remote,

1d•$206,000 - $247,000•Remote

About The Position

Cotiviti is seeking a Director of Engineering to lead multiple software engineering teams within our Payment Integrity business. In this role, you will provide strategic and technical leadership across one or more product domains, leading through engineering managers and team leads to deliver high-quality, reliable software solutions. You will champion an AI-native approach to software delivery by integrating AI tools, automation, and intelligent engineering workflows across the software development lifecycle to accelerate delivery, improve quality, and increase engineering effectiveness. You will partner closely with product management, enterprise data management, IT, and business stakeholders to align technology delivery with business priorities while meeting healthcare compliance, security, and performance requirements. This role requires a hands-on, lead-by-example leader who sets the standard for AI-native engineering and shows teams how modern software delivery can be transformed through AI, automation, and strong technical judgment.

Requirements

8+ years of software engineering experience, including 3–5 years leading engineering teams as a people manager.
Bachelor’s degree in Computer Science or a related field required; Master’s degree preferred.
Extensive experience designing and delivering complex software systems using Java, React/Angular, microservices, relational and NoSQL databases, cloud platforms, and modern AI-enabled engineering practices, with recent hands-on technical work.
Proven success leading multiple teams and managers to deliver enterprise software across distributed organizations.
Strong leadership skills, including building, developing, and mentoring effective engineering teams.
Strong understanding of Lean, iterative, and flow-based delivery practices that support quality, continuous improvement, and effective execution.
Track record of advancing engineering practices through automated testing, TDD, and CI/CD.
Solid understanding of software operations and DevOps practices, including reliability, monitoring, telemetry, and incident response.
Strong problem-solving skills and sound judgment in complex technical environments.
Ability to set and execute short- and long-term goals across projects and teams.
Strong verbal and written communication skills, with the ability to explain technical concepts clearly to diverse stakeholders.
Experience in healthcare or other regulated industries with strong compliance, security, and data privacy requirements is preferred.
Communicating with others to exchange information.
Problem-solving and thinking critically.
Completing tasks independently.
Interpreting data.
Making timely decisions in the context of a workflow.
Maintaining focus.
Assessing the accuracy, neatness and thoroughness of the work assigned.
Learning new tasks and completing tasks in situations that have a speed or productivity quota.
Remembering and adhering to processes and protocols.

Responsibilities

Build and lead a multi-team engineering organization with clear goals, outcome-based metrics, and a culture of continuous improvement.
Improve delivery throughput and resource utilization through streamlined processes, automation, and AI-enabled tools without compromising quality or maintainability.
Advance AI-enabled engineering practices by integrating AI tools and automation into workflows with human oversight and clear guardrails.
Lead roadmap execution with hands-on technical and architectural oversight to ensure scalable, secure, and maintainable solutions.
Align teams to enterprise architecture, governance, and shared engineering standards to improve consistency and code quality.
Partner across product, program, operations, and business teams to translate priorities into engineering plans that deliver measurable outcomes.
Modernize development and testing practices through automation, DevOps, and AI-enabled workflows that improve quality, security, and efficiency.
Recruit, develop, and retain strong engineering talent while building a culture of growth, accountability, and innovation.
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.