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

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: 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: 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. 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. 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. 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 click.appcast.io or call View phone number on click.appcast.io. The Governor's Office of Information Technology does NOT offer sponsored Visas for employment purposes. #J-18808-Ljbffr State of Colorado