Cotiviti
Cotiviti
Cotiviti is a healthcare technology and analytics company that helps health plans, government agencies, and healthcare providers improve payment accuracy, operational performance, and care quality. Its data-driven solutions support risk adjustment, payment policy management, and member engagement, turning complex healthcare information into insights that can strengthen both financial and clinical outcomes across the healthcare ecosystem.

Remote AI Data Engineering Manager

Cotiviti seeks a data engineering manager to lead AI-enabled architecture, pipelines, and data strategy in a remote healthcare environment. The role oversees talent, compliance, stakeholder engagement, and modern cloud data platforms.

Description

  • Lead the data engineering team while shaping technology architecture around business requirements.
  • Create and execute AI-informed data architecture and engineering strategies.
  • Establish templates, reference architectures, and reusable patterns for pipelines that connect on-premises and cloud data sources.
  • Collaborate with Architecture and Product teams on data product strategy and data literacy initiatives.
  • Track AI developments and apply relevant advances to strengthen team productivity and architectural effectiveness.
  • Coordinate with internal stakeholders and represent the organization in client discussions when needed.
  • Assess employee performance and foster development through objectives, coaching, evaluations, and mentoring.
  • Make technology decisions for the assigned area and manage service costs through internal and external resources.
  • Maintain compliance across information systems and networks with HIPAA, company, accrediting, regulatory, and legal standards.
  • Create, implement, test, and update plans covering disaster recovery, emergency operations, backups, physical security, personnel security, and access.
  • Recruit, develop, coach, lead, and retain employees while cultivating a strong team culture.
  • Conduct annual performance reviews or goal-setting activities and complete assigned special projects.

Requirements

  • Bachelor’s degree or comparable professional experience.
  • At least seven years of experience in data engineering, IT, or project management, including two or more years managing people.
  • At least two years leading small to medium-sized projects using established project management methods and documentation.
  • At least four years working with data sets, Hadoop, Spark, or integration and ETL platforms such as Databricks, AWS, and Snowflake.
  • At least two years applying AI engineering concepts and tools, including RAG, prompt engineering, LangChain, and LangGraph.
  • Working knowledge of MLOps and LLMOps platforms and tools such as DataRobot.
  • At least two years of practical software development and database management experience.
  • Proficiency with Microsoft Office applications.
  • A dedicated, secure workspace is required.
  • Reliable high-speed internet access and the ability to maintain the required office setup are necessary.
  • Ability to perform the role’s responsibilities with or without reasonable accommodation.
  • Preferred: Background working with healthcare data, particularly in data operations.
  • Preferred: Experience in an Agile work environment.

Benefits

  • Eligibility for discretionary bonus consideration.
  • Medical insurance coverage.
  • Dental insurance coverage.
  • Vision insurance coverage.
  • Disability insurance coverage.
  • Life insurance coverage.
  • 401(k) savings plans.
  • Paid family leave.
  • Nine paid holidays annually.
  • 17–27 days of paid time off per year, based on level and length of service.
  • Remote work arrangement.
  • Virtual interview process.

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