[Hiring] Director of Data Engineering Artificial Intelligence @Cotiviti

Role Description

We are seeking a seasoned Director of Data Engineering to lead and scale a high-performing, enterprise-grade data engineering organization for a healthcare company with petabytes of data. This role is responsible for architecting and governing the data infrastructure and driving the technical roadmap across foundational infrastructure, streaming pipelines, analytics engineering, and AI enablement, serving as a strategic partner to product, analytics, clinical informatics, and technology leadership.

• Oversee the data engineering efforts to provision scalable, reliable data pipelines from various backend data sources to the cloud platform, applying best-in-class cloud-native technologies (AWS, Azure, or GCP) and modern frameworks including Spark, Kafka, dbt, Databricks, and the Cloudera/Hadoop ecosystem.
• Lead and manage a team of data engineers in delivering quality code and building data products and use cases, fostering a culture of engineering excellence, accountability, and continuous improvement across multiple functional squads.
• Ensure the organization follows best practices in data architecture and engineering standards, establishing reusable, scalable engineering patterns aligned to data mesh principles and enterprise platform engineering.
• Influence the vision for the data engineering platform, creating data products that power multiple use cases and projects, including AI/ML use cases, Analytics and BI use cases, and LLM-powered Agentic use cases.
• Establish a metrics- and KPIs-driven approach to measure the work done by the data engineering team, track business value of data products created, and monitor, measure, and continuously improve team performance and throughput.
• Influence solution architecture of AI/ML and Agentic AI solutions, collaborating with Data Science, Product, and line-of-business teams to ensure data infrastructure is AI-ready.
• Ideate and lead Proof of Concepts and MVPs that advance Cotiviti's data engineering posture in the rapidly evolving landscape of AI, generative AI, and agentic systems.
• Identify and monitor key business risks related to realizing the data needs of the business, communicating risks and mitigation strategies proactively to VP- and C-suite stakeholders.
• Evangelize strong data engineering patterns and practices throughout the organization by communicating the vision and use cases of advanced analytics, data products, and AI-enabled capabilities to both technical and non-technical audiences.
• Hire, develop, coach, lead, and retain top-tier talent, focusing on building and improving a team and culture that employs best-in-class practices to 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.

Qualifications

• Bachelor's degree and 12+ years of professional experience in a data engineering, analytical, or information specialist role within a corporate or consulting setting; experience in healthcare, life sciences, or a related industry strongly preferred.
• Deep understanding of data engineering architectures, technologies, and platforms focused on large-scale data management and AI applications.
• Strong foundation and point of view on generative AI techniques like LLMs and Agentic architectures in solving data engineering problems.
• Proven expertise in designing and implementing enterprise data architectures on cloud platforms.
• Deep understanding of data governance, data quality, and data security best practices, including HIPAA compliance.
• Demonstrated ability to solve complex business problems by creating scalable data products.
• Proven ability to lead and manage large data engineering teams (15+ Data engineers).
• Proficiency at planning and setting meaningful objectives aligned to organizational goals.
• Exceptional written, verbal, and interpersonal communication skills.
• Strong initiative, self-motivation, and ability to work autonomously.

Requirements

• Problem-solving and thinking critically.
• Completing tasks independently.
• Interpreting data.
• Maintaining focus.

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.

Benefits

• Base compensation ranges from $190,000 to $225,000 per year.
• Competitive benefits package including medical, dental, vision, disability, and life insurance coverage.
• 401(k) savings plans.
• Paid family leave.
• 9 paid holidays per year.
• 17-27 days of Paid Time Off (PTO) per year, depending on specific level and length of service.