Enterprise Practice Lead (Data) (Remote from anywhere in CO)

Enterprise Practice Lead (Data) (Remote from anywhere in CO)

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Salary

$115,000.00 - $145,000.00 Annually

Location

Statewide, CO

Job Type

Full Time

Job Number

EGBPOD

Department

Governor's Office of Information Technology

Opening Date

05/27/2026

Closing Date

6/10/2026 11:59 PM Mountain

FLSA

Determined by Position

Primary Physical Work Address

(Remote from anywhere in CO)

FLSA Status

Exempt; position is not eligible for overtime compensation.

Department Contact Information

View email address on jobs.institutedata.com

Type of Announcement

This announcement is not governed by the selection processes of the classified personnel system. Applications will be considered from residents and non-residents of Colorado.

How To Apply

Please submit an online application for this position at Reach out to the Department Contact to apply using a paper application, including any supplemental questions. Failure to submit a complete and timely application may result in the rejection of your application. Applicants are responsible for ensuring that application materials are received by the appropriate Human Resources office before the closing date and time listed.

• Description

• Benefits

• Questions

Department Information

Together, we innovate for a stronger Colorado

The work of employees at the Governor's Office of Information Technology (OIT) is challenging and diverse because the needs of agencies, customers and Coloradans constantly evolve. But our focus never changes: improve the lives of all Coloradans through innovation and collaboration. We're building one of the nation's leading government IT organizations by reimagining how we support agencies, building first-of-their-kind applications, and creating an inclusive, collaborative culture, together. Join us in the important work of providing equitable access to services.

Watch this video ( to learn more about how we're Serving People. Serving Colorado.

Description of Job

IMPORTANT NOTE: Please review your application to ensure completion. For the most equitable applicant experience, OIT's hiring team considers only the contents of your application to review your qualifications. Please do not include any attachments (such as resume or cover letter) with your application as these items are not used by OIT's hiring team.

The Colorado Governor's Office of Information Technology is in the middle of a transformation worth joining. We're building cross-functional pod teams that partner directly with agencies to design, deliver, and continuously improve services that work for Coloradans. Good government depends on technology that works. And OIT exists to make that true for every Coloradan. The State of Colorado is seeking an Enterprise Practice Lead, Data to help build the next generation of public services. We're looking for people who want to do the best work of their careers in service of the public.

The Enterprise Practice Lead, Data owns how data practice is executed across OIT, the standards, governance frameworks, architecture patterns, and professional community that make every data practitioner more capable and consistent. Data practice at OIT spans governance, architecture, analytics, and platforms, and the people doing that work are often distributed across different parts of the organization with limited peer connection. The Enterprise Lead builds the community and infrastructure that makes distributed data practice coherent and high-quality.Guilds at OIT enable consistency, quality, and community across a federated team structure. IT Directors (ITDs) are responsible for the people management of their pod of practitioners; Enterprise Practice Leads guide and support the practitioners to deliver good work.This role sits at the intersection of craft and enterprise alignment. Data standards are meaningless if practitioners don't adopt them, and they don't adopt them if the standards feel like compliance overhead rather than enabling infrastructure. The GDS DDaT framework's approach to data governance, grounding it in metadata management, data quality, and the practical needs of data engineers and analysts, and USDR's work on open data and language access both point in the same direction: data practice is valuable when it makes services better for people, not when it produces documentation.

What you'll do:

• Define and maintain data governance, architecture, and analytics standards for practitioners across OIT. These are aligned to EA data patterns and grounded in the actual needs of practitioners working in agency delivery contexts.

• Translate enterprise data strategy into practical, usable guidance: what data practitioners need to do differently in their day-to-day work, not just what the strategy document says.

• Identify reusable data patterns, shared datasets, and common integration approaches that reduce duplication and raise data quality across the statewide portfolio.

• Spot governance gaps, data quality failures, and architecture drift across pods and surface them to EA and relevant OIT leadership before they become systemic problems.

• Run a data guild: data quality calibration sessions, architecture reviews, cross-agency knowledge exchange, and a practitioner culture that takes data integrity seriously.

• Develop a career pathway that spans the full range of data practice, from governance and stewardship to architecture, analytics, and platforms. The pathway should create growth options that do not require moving into management.

• Build and deliver training programs that address core statewide capability gaps, including governance rigor, data analytics for non-specialist audiences, architecture decision-making in constrained environments, and privacy compliance that practitioners understand rather than just follow.

• Create and maintain shared resources that practitioners can use without starting from scratch, such as data quality frameworks, governance templates, integration pattern libraries, and analytics standards guides.

• Advise ITDs and product directors on what strong data practice looks like across the governance, architecture, and analytics dimensions, and how to give meaningful feedback to practitioners whose craft spans a wide technical range.

• Distinguish between a practitioner skill gap, a tooling constraint, and a policy or architecture problem that sits above the practitioner level. Advise ITDs and product directors accordingly.

• Surface patterns of weak data practice across pods that point to training gaps or governance infrastructure failures rather than individual performance.

What you bring:

• Ability to connect data practice to delivery outcomes. Data governance and quality are easy to de-prioritize under delivery pressure. Build the community and make the case through specific examples of how strong data practice directly enables better products and services for Coloradans.

• Ability to build data literacy across non-data roles. Product managers, service designers, and delivery managers need to understand and use data more effectively. Build that literacy without requiring everyone to become a data specialist.

• Ability to hold privacy and security as the floor, not a constraint. Openness and protection are both real obligations. Design standards that enable data use while making PII/PHI safeguards non-negotiable, practitioners should understand why those safeguards exist, not just that they are required.

• Ability to make governance enabling, not bureaucratic. Data standards get adopted when practitioners experience them as making work easier and more credible. The Enterprise Lead designs governance with that test in mind and removes what fails it.

• Ability to lead across maturity levels. Different agencies and pods have very different data maturity, tooling environments, and technical capacity. Build standards that work at the low end without being remedial at the high end.

• Knowledge of data governance frameworks: metadata management, data quality standards, lineage documentation, stewardship models, and how to design governance that practitioners experience as enabling rather than bureaucratic.

• Knowledge of data architecture: integration patterns, data platforms, open data design, and how architecture decisions at the agency level connect to OIT's enterprise data strategy and EA standards.

• Knowledge of data analytics methods and tooling: how to build shared analytical capability and what standards look like for analytics work that needs to be reproducible, defensible, and accessible to non-technical audiences including program leadership.

• Knowledge of state government data policy: privacy requirements for PII and PHI, security classifications, IDXR, the Statewide Longitudinal Data System (SLDS), and applicable federal data standards for programs Colorado administers.

• Knowledge of open data standards and constituent data transparency: how public data publishing works, what it requires technically and legally, and how it connects to OIT's obligations to serve Coloradans and build public trust.

• Knowledge of career pathway design for data practitioners: how to build a competency framework that spans governance, architecture, analytics, and platform roles without flattening the significant skill differences between them, drawing on GDS's data role family, data engineer, data analyst, data governance manager, as reference points.

Minimum Qualifications, Substitutions, Conditions of Employment & Appeal Rights

A wide salary range is posted for this position and any job offer is based upon a salary analysis to comply with the Colorado Equal Pay for Equal Work Act. The salary analysis considers relevant experience, education, certifications, and state seniority as compared to others doing substantially similar work. While all offers are compliant with the Colorado Equal Pay for Equal Work Act, there is no guarantee an offer will be at the top of the posted range based on the salary analysis. This is a skills-based job announcement. The required minimum qualifications and/or education (if substituting for the proven experience, knowledge, and skills), are as follows: Minimum Qualifications:

• A minimum of five (5) years of experience in data governance and standards, which includes working in or leading cross-functional teams using iterative, user-centered and data-driven approaches

• A track record of working across disciplines - design, engineering, policy, or operations - to ship things that work for real people.

• Additional appropriate education will substitute for the required experience on a year-for-year basis, but cannot completely substitute for these qualifications.

• Additional, appropriate paid or unpaid experience will substitute for the required education on a year-for-year basis.

• Training or Certification related to the work assigned to the position will be assigned credit towards substitution for experience and/or education, but cannot completely substitute for these qualifications.

Substitutions:

Additional appropriate education will substitute for the required experience on a year-for-year basis, but cannot completely substitute for these qualifications.

Training or Certification related to the work assigned to the position will be assigned credit towards substitution for experience and/or education, but cannot completely substitute for these qualifications.

If the minimum qualifications include a degree requirement, additional appropriate paid or unpaid experience will substitute for the required education on a year-for-year basis.

Preferred Qualifications:

• Experience working with modern data governance frameworks, such as those related to the U.S. Digital Response (USDR) approaches to open data and language access.

• Experience shifting organizational culture from a "compliance-first" or bureaucratic governance model to one that emphasizes "enabling infrastructure" and practical craft standards that improve delivery outcomes.

• Direct experience managing or advising on complex public sector data initiatives, such as Statewide Longitudinal Data Systems (SLDS), multi-agency data sharing (IDXR), or navigating federal privacy standards for PII and PHI.

Conditions of Employment:

OIT employees must comply with any screening procedures in place at state entity locations where they might be required to perform work.

A pre-employment background check will be conducted as part of the selection process.

Positions supporting some agencies such as the Department of Corrections and the Department of Public Safety will also require a pre-employment drug test.

This position may require travel within the specified geographic area, and to locations across the state as needed.

Supplemental Information

If this posting indicates "remote from anywhere in CO" in the title, periodic reporting to the primary state work location designated for the position is required. All remote work must be performed in Colorado.

While candidates from out of state will be considered for this role, the candidate selected for the position must relocate and reside in Colorado on the first day of their new position. A reasonable timeframe for relocation will be established on an individual basis, while considering business needs, and determining a start date.

We know it's important to support each other, and that means having a healthy balance of work and personal time. Visit our benefits ( to learn more about some of our great offerings that allow us all to have fulfilling lives.

Visit our How to Apply webpage ( to learn more about our application process and what to expect after you apply.

The State of Colorado strives to create a Colorado for All by building and maintaining workplaces that value and respect all Coloradans through a commitment to equal opportunity and hiring based on merit and fitness. The State is resolute in non-discriminatory practices in everything we do, including hiring, employment, and advancement opportunities.

The Governor's Office of Information Technology is committed to the full inclusion of all qualified individuals. As part of this commitment, our agency will assist individuals who have a disability with any reasonable accommodation requests related to employment, including completing the application process, interviewing, completing any pre-employment testing, participating in the employee selection process, and/or to perform essential job functions where the requested accommodation does not impose an undue hardship. If you have a disability and require reasonable accommodation to ensure you have a positive experience applying or interviewing for this position, please direct your inquiries to our ADA Coordinator at View email address on jobs.institutedata.com or call View phone number on jobs.institutedata.com.

This posting may be used to fill multiple vacancies based upon business need.

The Governor's Office of Information Technology does NOT offer sponsored Visas for employment purposes.

Employer

State of Colorado

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