Data Product & Governance Lead

Who We Are Connecting People to Possibility As a publicly traded company (NYSE: CTRI ) with $3 billion in revenue, Centuri leads the way in utility and energy infrastructure across North America. What sets us apart is our local agility, resources to scale, and comprehensive solutions for a dynamic energy market.

Whether in the field or providing essential behind the scenes support, Centuri offers professional growth opportunities where you can thrive and make a difference. Join a culture where safety, sustainability, and teamwork come first, with training and benefits that truly care for your well-being.

As the Data Product & Governance Lead, you will own the business definitions, master data, and reusable data products that Centuri runs on, setting the standards that both our people and our AI systems rely on to get the same trusted answer. In this role, you will decide what our core business terms mean and hold the organization to them. You will govern our master data domains and the Master Data Management platform, define the guardrails that new data products and automations are built against, own the validation practice that proves changes are safe before they reach the business, and grow adoption of shared, reusable data products across our operating companies. You will partner with business data owners, stewards, and technology teams — and you will have the authority to say no when a custom build would fracture a standard that already exists. This position offers the flexibility to work remotely.

**What You’ll Do**

• Own the canonical business definitions and data model that describe how Centuri operates — the entities, relationships, hierarchies, and metrics used across master data, semantic models, reporting, and AI solutions — and serve as the decision-maker when operating companies define the same term differently
• 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

**What You’ll Have**

• 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…