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Data Governance Sme Jobs (NOW HIRING)

Georgia IT, Inc.

Alation SME position.

Raritan, NJ · On-site

Responsibilities : • The Alation SME is responsible for the end-to-end administration ... Partner with data governance, data management, and IT teams to ensure that Alation aligns with ...

Intrepidgs

Data Services SME

Mclean, VA

Position contingent upon contract award As the Data Services SME , you will have a background in ... Develop and implement data governance strategies across enterprise systems * Lead efforts in data ...

Intrepid

Data Services SME

Mclean, VA · On-site

Position contingent upon contract award As the Data Services SME , you will have a background in ... Develop and implement data governance strategies across enterprise systems * Lead efforts in data ...

SME

AI/ML and Data Engineer

Southfield, MI

$104K - $125K/yr

... governance practices, and representing SME's point of view on AI and data in manufacturing through ... partner engagement and industry thought leadership. MAJOR FUNCTIONS: * Lead the design, development ...

Seneca Holdings

SME IT Governance Manager

Chantilly, VA · On-site +1

$97K - $119K/yr

Great Waters Federal is seeking an SME IT Governance Manager for the National Capital Region or a ... Experience in practicing or facilitating stewardship in data governance and data management ...

Doist

Data Engineering SME

Herndon, VA · On-site

$117K - $141K/yr

You. Data Engineering Subject Matter Expert (SME) Platinum Technologies is seeking a Data ... Establish data quality, metadata management, lineage, and governance processes to ensure ...

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Data Governance Sme information

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How much do data governance sme jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for data governance sme in the United States is $54.78, according to ZipRecruiter salary data. Most workers in this role earn between $40.62 and $67.07 per hour, depending on experience, location, and employer.

What is a Data Governance SME?

Data Governance Subject Matter Experts (SMEs) are professionals who possess deep expertise in data governance frameworks, policies, and best practices. They help organizations establish, maintain, and improve processes that ensure high-quality, secure, and compliant data across the enterprise. Data Governance SMEs often collaborate with IT, compliance, and business units to define data standards, manage data-related risks, and support regulatory requirements. Their role is critical in enabling organizations to make informed decisions based on trustworthy data.

How does a Data Governance SME typically collaborate with other departments to ensure compliance and data quality?

A Data Governance SME (Subject Matter Expert) regularly partners with teams such as IT, compliance, legal, and business units to develop and enforce data policies and standards. They facilitate workshops, provide training, and participate in cross-functional meetings to align data management practices and address data quality issues. This collaborative approach ensures that data handling processes meet regulatory requirements and business objectives, fostering a culture of data stewardship across the organization.

What are the key skills and qualifications needed to thrive as a Data Governance SME, and why are they important?

To thrive as a Data Governance SME, you need deep knowledge of data management principles, regulatory compliance, and data quality frameworks, often supported by a degree in information management or related fields. Familiarity with data governance tools like Collibra, Informatica, or Alation, as well as certifications such as CDMP (Certified Data Management Professional), is highly valued. Strong analytical thinking, stakeholder communication, and change management skills help drive data governance initiatives across the organization. These competencies ensure data integrity, regulatory compliance, and effective data-driven decision-making.

What is the difference between Data Governance Sme vs Data Analyst?

AspectData Governance SmeData Analyst
CredentialsCertifications in data governance, data management, or related fieldsCertifications in data analysis, SQL, or business intelligence tools
Work EnvironmentCollaborates with data governance teams, compliance, and IT departmentsWorks with business units, reporting teams, and data visualization tools
Employer & IndustryFinancial, healthcare, and large enterprises focusing on data complianceMarketing, finance, and tech companies analyzing data for insights

While both roles involve working with data, a Data Governance Sme focuses on data policies, quality, and compliance, ensuring data is managed properly across the organization. A Data Analyst primarily interprets data to generate insights and support decision-making. Understanding these differences helps organizations assign the right responsibilities to each role.

What are popular job titles related to Data Governance Sme jobs?

For Data Governance Sme jobs, the most frequently searched job titles are:

Data Governance and Analytics Architecture Director

Remote

Cotiviti
Health Care and Social Assistance • 5 - 10K employees
Learn more about Cotivitiexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago

Cotiviti rating

8.3

Company rating: 8.3 out of 10

Based on 33 frontline employees who took The Breakroom Quiz

52nd of 226 rated it services

Job description

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: 08/27/2026
Applications are assessed on a rolling basis. We anticipate that the application window will close on 09/27/2026, 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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