Data Product & Governance Lead

Centuri Group, Inc.

. Own canonical business definitions and the data model describing Centuri's entities, relationships, hierarchies, and metrics .

Posted 10/9/2026full-timeRemote • Arizona • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data governance, master data management, and analytics engineering, with a strong focus on defining data standards, business rules, and quality thresholds. Proven ability to lead data stewardship initiatives and influence stakeholders across multiple operating companies.

Highest-signal resume keywords

Data GovernanceMaster Data ManagementAnalytics EngineeringData Quality RemediationStakeholder Influence

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data Model DefinitionData StandardsData Quality ThresholdsStewardship ModelsMatching LogicSurvivorship LogicSQLSemantic ModelingData ContractsRoot-Cause Analysis

Soft Skills

Analytical SkillsInfluencing StakeholdersProblem-Solving

Tools & Technologies

MDM PlatformCloud Data PlatformMicrosoft FabricERP SystemsAI Tools

Industry Keywords

Data GovernanceMaster Data ManagementData StewardshipEnterprise DataData Products

Tech Stack

Tools & technologies

CloudERPSQL

About the role

Key responsibilities & impact

Own canonical business definitions and the data model describing Centuri's entities, relationships, hierarchies, and metrics
Serve as decision-maker when operating companies define the same term differently
Govern core master data domains and the Master Data Management platform
Set domain scope and sequencing, matching, merge, survivorship rules, and data quality thresholds
Build and lead the data stewardship network across operating companies
Define data standards, business rules, naming conventions, and approval workflows
Adjudicate escalated master data change requests and assess downstream impacts
Define guardrails for new data products, automations, and AI agents
Own risk and validation practices for data platform changes, source systems, reporting solutions, and integrations
Evaluate the accuracy of AI-generated outputs, code, and analysis
Curate reusable data products and semantic models for human and AI consumers
Maintain catalogs, data contracts, versioning, promotion, and retirement of data products
Drive adoption of shared data products, standard business definitions, and reusable patterns
Maintain documentation, lineage, controls, and metrics supporting auditability, training, and operational continuity
Partner with business data owners, stewards, and technology teams

Requirements

What you’ll need

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
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
Experience with stewardship models, matching and survivorship logic, and data quality remediation
Practical experience with a modern cloud data platform and semantic modeling, including Microsoft Fabric, semantic models, and data contracts
Some SQL is a plus
Working understanding of how AI and agent-based tools consume enterprise data and how to evaluate AI-generated output for accuracy
Strong analytical skills, root-cause analysis, downstream impact evaluation, testing requirements, and data issue resolution
Ability to influence and align stakeholders across multiple operating companies without direct authority
Ability to translate business requirements into governed data processes
Valid US work authorization documents for E-Verify
Must pass pre-employment, random, post-accident, and reasonable suspicion drug screens
Satisfactory pre-employment background check results

Benefits

Comp & perks

Benefit Package including Medical, Dental and Vision Coverage
401K w/ Company Match
Access to our Employee Stock Purchase Plan featuring a 15% stock discount
Voluntary Life & AD&D Insurance and Short-Term and Long-Term Disability
Vacation/Sick Time and Paid Holidays
Potential Bonus Opportunities
Career Development Opportunities
Employee Discounts
Weekly Payroll
Flexibility to work various schedules
Remote work flexibility