Data Governance and Analytics Architecture Director

Overview

The Data Governance & Analytics Architecture Director is a leader within the Health Enablement Analytics organization responsible for ensuring all data, analytics, and AI initiatives are built on a scalable, standardized, and governed foundation. This role serves as a subject matter expert for data governance, analytics architecture, and AI/ML best practices across Health Enablement. This role provides advisory leadership, technical guidance, and architecture standards to ensure analytics and innovation efforts are aligned to enterprise data strategy and built in a scalable, sustainable manner.

This position operates as a consultative technical partner to Innovation, Analytics, and Reporting teams helping shape how solutions are designed and delivered; enabling Health Enablement Analytics to operate as a reliable, high-impact capability, driving measurable business outcomes.

Responsibilities

Data Governance & Standards

• Contribute to the development of data governance standards, and best practices across analytics and reporting.

• Provide guidance on data quality, consistency, and appropriate use of enterprise data assets.

• Support the standardization of data models, business metrics, and reusable data assets to improve consistency and efficiency.

• Implement governance frameworks, ensuring policies are embedded into day-to-day data and analytics workflows.

• Establish clear data stewardship accountability across business and analytics teams.

• Oversee data quality processes, metadata management, and governance monitoring to ensure sustained data integrity.

• Serve as the primary point of contact for Information Governance, data risk, and compliance alignment.

Data Architecture & Platform Alignment

• Drive standardization of data assets to reduce fragmentation and enable consistent cross-domain insights.

• Provide subject matter expertise on analytics architecture across BI, reporting, and advanced analytics.

• Partner with teams to ensure solutions are aligned with enterprise data platforms and long‑term strategy.

• Recommend architectural approaches that support scalability, interoperability, and reuse.

Technical Enablement & Scalable Delivery

• Serve as a technical SME contributing to AI/ML standards and best practices.

• Provide guidance to ensure analytic and AI solutions are designed for scalability and sustainability.

• Advise on approaches to monitor performance, manage technical debt, and identify architectural risk.

• Assess technical feasibility of innovation and analytics initiatives and provide input on viable solution approaches.

• Consult on solution design to support production readiness and scalability.

• Identify constraints in data or architecture and propose practical workarounds to enable business outcomes.

• Define guardrails that enable faster decision-making and reduce execution friction.

Cross‑Functional Collaboration

• Serve as a consultative technical partner to Innovation, Data Science, Reporting, and broader enterprise teams.

• Translate business and analytics requirements into technical solutions and executable designs.

• Provide input on feasibility, architecture, and standards to support solution development.

• Collaborate across teams to ensure analytics solutions are aligned with enterprise direction while meeting business needs.

• Contribute technical expertise to vendor evaluations and platform decisions as needed.

• 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.

Qualifications

• Advanced degree in Computer Science, Engineering, Data Science, or a related field required.

• 10+ years of experience in data governance, data architecture, data engineering, and analytics roles.

• 5+ years of leadership experience driving data governance, data architecture, and analytics platform initiatives at enterprise scale.

• Proven ability to define and implement data governance frameworks, standards, and data quality processes.

• Strong expertise in: data modeling, data warehousing and lakehouse architectures, cloud-based analytics platforms and modern data ecosystems.

• Experience enabling analytics and AI/ML solutions to scale from prototype to production deployment.

• Strong understanding of BI platforms, ETL/ELT frameworks, and data lifecycle management.

• Experience working across analytics, product, engineering, and innovation teams in complex environments.

• Ability to translate business and analytics priorities into scalable technical architecture and design.

• Strong leadership, stakeholder management, and decision-making capabilities.

• Able to work independently in a fast-paced environment as part of a distributed team with effective communication and collaboration skills.

• Proven ability to handle stressful situations, multiple tasks, and deadline Enterprise project management methods and process management experience preferred.

• Shares information with all appropriate stakeholders and escalates to director in a timely, effective.

• Strong written and oral communication The ability to communicate effectively (clear, concise, and professionally) at all levels within Cotiviti.

• Demonstrated teamwork, leadership, and project management discipline.

• Demonstrated ability to work cross-functionally to drive business outcomes.

Cognitive/Mental Requirements:

• Communicating with others to exchange information.

• Assessing the accuracy, neatness and thoroughness of the work assigned.

• Critical thinker and problem solver with strong analytic modeling and technical skills.

Working Conditions and Physical Requirements:

• Must be able to provide high-speed internet access / connectivity and office setup and maintenance.

• Repeating motions that may include the wrists, hands, and/or fingers.

• Must be able to provide a dedicated, secure work area.

• Remaining in a stationary position, often standing or sitting for prolonged periods.

• Repeating motions that may include the wrists, hands and/or fingers.

• No adverse environmental conditions expected

Base compensation ranges from $150,000 to $200,000 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.

Since this job will be based remotely, all interviews will be conducted virtually.

Date of posting: 10/16/2026 - Updated

Applications are assessed on a rolling basis. We anticipate that the application window will close on 12/16/2026, 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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