Cotiviti: Healthcare Analytics Company logo

Director Engineering, AI Native (Remote)

Cotiviti: Healthcare Analytics Company

Remote
Full-time
Manager
Senior
8+ yrs
$206k–$247kPosted 2w ago

Real job — pulled straight from Cotiviti: Healthcare Analytics Company’s careers page · Verified August 2, 2026 · No reposts.

Job description

Cotiviti: Healthcare Analytics Company is hiring a Director Engineering, AI Native (Remote) — a full-time, remote role ($206k–$247k). Apply directly on Cotiviti: Healthcare Analytics Company's careers page below.

Director Engineering - AI Native

Location: Remote, UNAVAILABLE, US

Employment Type: OTHER

Overview

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.

Responsibilities

  • Leadership & Strategy: Build and lead a multi-team engineering organization with clear goals, outcome-based metrics, and a culture of continuous improvement.
  • Resource Optimization: Improve delivery throughput and resource utilization through streamlined processes, automation, and AI-enabled tools without compromising quality or maintainability.
  • AI-Driven Development: Advance AI-enabled engineering practices by integrating AI tools and automation into workflows with human oversight and clear guardrails.
  • Technical Execution & Oversight: Lead roadmap execution with hands-on technical and architectural oversight to ensure scalable, secure, and maintainable solutions.
  • Technology Alignment: Align teams to enterprise architecture, governance, and shared engineering standards to improve consistency and code quality.
  • Cross-Functional Collaboration: Partner across product, program, operations, and business teams to translate priorities into engineering plans that deliver measurable outcomes.
  • Process Improvement & Innovation: Modernize development and testing practices through automation, DevOps, and AI-enabled workflows that improve quality, security, and efficiency.
  • Talent Development: 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. 

Qualifications

  • Education & Experience: 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 or equivalent; Master’s degree preferred.
  • Technical Proficiency: 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.
  • Enterprise Software Delivery: Proven success leading multiple teams and managers to deliver enterprise software across distributed organizations.
  • Leadership Skills: Strong leadership skills, including building, developing, and mentoring effective engineering teams.
  • Adaptive Delivery Models: Strong understanding of Lean, iterative, and flow-based delivery practices that support quality, continuous improvement, and effective execution.
  • Modern Engineering Practices: Track record of advancing engineering practices through automated testing, TDD, and CI/CD.
  • Operational & DevOps Knowledge: Solid understanding of software operations and DevOps practices, including reliability, monitoring, telemetry, and incident response.
  • Problem Solving: Strong problem-solving skills and sound judgment in complex technical environments.
  • Strategic Execution: Ability to set and execute short- and long-term goals across projects and teams.
  • Communication: Strong verbal and written communication skills, with the ability to explain technical concepts clearly to diverse stakeholders.
  • Industry & Compliance: Experience in healthcare or other regulated industries with strong compliance, security, and data privacy requirements is preferred.

 

Mental Requirements:

  • 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.

Physical Requirements and Working Conditions:

  • 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.
  • No adverse environmental conditions expected.

Base compensation ranges from $206,000 to $247,000 per year. 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.

 

This role is based remotely and all interviews will be conducted virtually.

 

Date of posting:06/04/2026

Applications are assessed on a rolling basis. We anticipate that the application window will close on 09/03/2026, 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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Frequently asked questions

What is the salary for Director Engineering, AI Native (Remote) at Cotiviti: Healthcare Analytics Company?

The estimated salary range for Director Engineering, AI Native (Remote) at Cotiviti: Healthcare Analytics Company is $206,000 - $247,000 USD per year.

Is Director Engineering, AI Native (Remote) at Cotiviti: Healthcare Analytics Company a remote job?

Yes, Director Engineering, AI Native (Remote) at Cotiviti: Healthcare Analytics Company is a remote position. This role is open to remote candidates.

What skills are required for Director Engineering, AI Native (Remote) at Cotiviti: Healthcare Analytics Company?

The required skills for Director Engineering, AI Native (Remote) at Cotiviti: Healthcare Analytics Company include: Java, React, Angular, Microservices, SQL, NoSQL, AWS, Azure, GCP, DevOps, CI/CD, Agile, Lean Manufacturing, Python, Machine Learning, AI.

What is the seniority level for Director Engineering, AI Native (Remote) at Cotiviti: Healthcare Analytics Company?

Director Engineering, AI Native (Remote) at Cotiviti: Healthcare Analytics Company is a Manager / Senior level position.

How do I apply for Director Engineering, AI Native (Remote) at Cotiviti: Healthcare Analytics Company?

You can view the full description and apply for Director Engineering, AI Native (Remote) at Cotiviti: Healthcare Analytics Company on EchoJobs: https://echojobs.io/job/cotiviti-healthcare-analytics-company-director-engineering-ai-native-zdhdc.