Data Product & Governance Lead
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Job Description
Data governance lead standardizing master data, semantic models, and AI-ready products. Supporting Centuri’s North American utility and energy infrastructure operations.
Responsibilities:
- 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:
- 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:
- 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
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