> Markdown version of [/jobs/ext/3661542-data-product-governance-lead](https://www.wearedevelopers.com/jobs/ext/3661542-data-product-governance-lead). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Product & Governance Lead - **Company:** Centuri Group, Inc. - **Location:** Phoenix, AZ, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Information Systems, Custom Software, Data Governance, Data Infrastructure, Data Sharing, SQL Databases, Agentic-AI, Microsoft Fabric, Data Management, Semantic Modeling - **Published:** October 9, 2026 - **Apply:** https://jobs.nextcenturi.com/talentcommunity/apply/1438519100/?locale=en_US ## About the Role * Bachelor's degree in Information Systems, Data Management, Business, Supply Chain, Finance, or a related field; equivalent practical experience may be considered * 6+ years of experience and 2 years of leadership. * Progressive experience in data governance, master data management, analytics engineering, or data product ownership within an enterprise environment, including a track record of setting standards that other teams adopted and followed * Hands-on experience governing master data domains and working with an MDM platform and connected ERP systems, including stewardship models, matching and survivorship logic, and data quality remediation * Practical experience with a modern cloud data platform and semantic modeling - Microsoft Fabric, semantic models, data contracts - with enough depth to be credible with engineers and to be the authoritative voice on what a definition means. Some SQL is a plus * Working understanding of how AI and agent-based tools consume enterprise data, why shared business context and definitions determine whether they are trustworthy, and how to evaluate AI-generated output for accuracy * Strong analytical skills with the ability to identify root causes, evaluate downstream impacts, define testing requirements, and resolve data issues with a high degree of accuracy and attention to detail * Proven ability to influence and align stakeholders across multiple operating companies without direct authority, translate business requirements into governed data processes, and hold a standard under pressure when a faster exception is being requested ## Description * Govern our core master data domains and the Master Data Management platform: set domain scope and sequencing, define matching, merge, and survivorship rules, establish the data quality thresholds a record must meet before it is published, and hold accountability for the trustworthiness and adoption of master data rather than for day-to-day platform administration * Build and lead the data stewardship network across our operating companies, defining data standards, business rules, naming conventions, and approval workflows; adjudicate escalated master data change requests and assess downstream impacts before changes are executed * Define the business rules and guardrails that new data products, automations, and AI agents are built against, so solutions reflect real operational conditions in the field, and require changes before release when they do not * Own the risk and validation practice for the data platform - identifying risks, defining testing requirements, and executing validation for changes to source systems, data platforms, reporting solutions, and integrations - and extend that practice to evaluating the accuracy of AI-generated outputs, code, and analysis * Curate the portfolio of reusable data products and semantic models for both human and AI consumers: maintain the catalog and data contracts, decide what is built, versioned, promoted, and retired, and ensure products are discoverable and consumable by our AI tooling as well as by people * Drive adoption of shared data products, standard business definitions, and reusable patterns ahead of custom development, and measure adoption as a primary indicator of whether the function is succeeding. * Maintain the documentation, lineage, controls, and metrics that make our data defensible - covering data quality, policy adherence, workflow throughput, and the health of master data across domains - to support auditability, training, and operational continuity, * Flexibility to work various schedules and rarely stay late when necessary, with little or no notice * Overlap of US Arizona Time zone is expected - flexible to adjust after the first ~90 days. * As this is a remote team, be expected to travel to Phoenix Arizona 2-3 times per year.