Data Governance Analyst

Ultipro; Deer Park (TX); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

ESOP

Competitive pay

Medical, Dental and Vision Insurance

Employer Paid Life Insurance

Paid Time Off and Holidays

Job summary

AWC is seeking a Data Governance Analyst to establish and maintain product data standards, taxonomy, governance controls, and processes supporting growth and digital transformation. You will ensure data accuracy, consistency, and trusted data for automation, analytics, and decision-making across the organization.

Collaborate with IT, operations, supply chain, and leadership to evolve governance practices, monitor data health, and drive improvements that enable scalable automated workflows and

Qualifications

• Strong understanding of data ownership, data standards, taxonomy, and governance controls
• Ability to analyze large data sets, identify trends, and translate findings into practical improvements
• Knowledge of AI, automation, and ML concepts applied to data quality and reporting
• Experience creating clear, reliable reports, dashboards, scorecards, and exception views
• Familiarity with DRP concepts, data flows, and how data supports operations
• Commitment to accuracy, consistency, documentation, and governance rule enforcement
• Ability to partner with stakeholders across operations, IT, supply chain, and leadership

Responsibilities

• Define, maintain, and improve product taxonomy and naming standards
• Establish attribute frameworks for consistent data across systems
• Design and manage controlled value lists for standardized data entry and reporting
• Govern attribute definitions across product lines and sites
• Collaborate with stakeholders to evolve taxonomy structures as needs grow
• Design and administer duplicate-prevention rules to maintain a single source of truth
• Implement validation logic and entry controls within ERP and upstream systems
• Monitor data health using exception reporting and identify trends
• Drive corrective actions for data quality issues and root causes
• Maintain governance over item creation workflows and adherence to standards
• Develop data governance scorecards and audit processes
• Provide visibility to leadership on data health and risks
• Support audit readiness for internal and external requirements
• Enable automation by ensuring data structures support scalable CPQ, order mgmt, and supply chain workflows
• Collaborate with IT to align governance standards with system capabilities

Skills

Data governance

Analytics

AI knowledge

Report building

DRP knowledge

Attention to detail

Cross-functional collaboration

Job description

We’re seeking driven, curious people who bring energy to what they do and see challenges as opportunities to learn and improve. Our team of co-owners values enthusiasm, creativity, and a growth mindset, and we’re committed to putting those qualities to work on solutions that matter. If you’re ready to grow and make an impact, we’d love to be on your team.

As a Data Governance Analyst at AWC, you will play a critical role in establishing and maintaining the product data standards, taxonomy, governance controls, and processes that support the organization’s continued growth and digital transformation. You will help ensure our product and business data is accurate, consistent, well-structured, and trusted - creating a strong foundation for automation, analytics, reporting, and data-driven decision-making across the organization.

Working collaboratively with teams across the business, you will help define data standards, improve data quality, identify opportunities for process improvement, and establish governance practices that enable our systems and people to operate more effectively. This is a unique opportunity to combine analytical thinking, technical curiosity, and cross-functional collaboration to make a meaningful impact within a growing leader in industrial automation and process technology.

How you’ll make an impact:

Taxonomy & Attribute Standard Ownership

• Define, maintain, and continuously improve product taxonomy, classification hierarchies, and naming standards
• Establish required attribute frameworks that ensure all items are consistently defined and usable across systems
• Design and manage controlled value lists that enable standardized, reliable data entry and reporting
• Govern attribute definitions to ensure consistency across product lines, sites, and functional use cases
• Partner with stakeholders to evolve taxonomy structures as product complexity and automation needs increase

Data Quality Controls & Duplicate Prevention

• Design and administer duplicate-prevention rules to eliminate redundant item creation and maintain a single source of truth
• Implement validation logic and entry controls within ERP and upstream systems to enforce data completeness and accuracy
• Monitor data health using exception reporting, identifying trends in incomplete, inconsistent, or invalid data
• Drive corrective actions for systemic data quality issues, ensuring root causes are addressed—not just symptoms
• Maintain governance over item creation workflows to ensure adherence to standards and rules

Governance Reporting & Audit Discipline

• Develop and maintain data governance scorecards including completeness, accuracy, and compliance metrics
• Establish routine audit processes to validate adherence to taxonomy, attribute standards, and governance policies
• Provide visibility to leadership on data health, risks, and improvement opportunities
• Track and trend data quality performance over time, linking improvements to operational outcomes
• Support audit readiness for internal and external requirements where product data integrity is required

Enablement of Automation & Data-Driven Operations

• Ensure product data structures support safe and scalable automation in CPQ, order management, and supply chain workflows
• Enable consistent data consumption across integrated systems including ERP, reporting tools, and external interfaces
• Collaborate with IT and business stakeholders to align governance standards with system capabilities and integrations
• Reduce manual intervention by strengthening upstream data quality and governance discipline
• Support expansion of automated workflows by ensuring data inputs are stable, complete, and reliable

Skills you’ll need:

• Data governance experience: Strong understanding of data ownership, data standards, taxonomy, attribute management, and governance controls that support consistent product data across systems
• Analytics and problem-solving skills: Ability to analyze large data sets, identify trends, uncover root causes, and translate findings into practical recommendations for process and data quality improvement
• AI knowledge and applied automation awareness: Working knowledge of how AI, automation, and machine learning concepts can be used to improve data quality, detect patterns, reduce manual effort, and support smarter reporting and decision-making
• Report-building ability: Experience creating clear, reliable reports, dashboards, scorecards, and exception views that communicate data health, compliance, risks, and improvement opportunities to both technical and business audiences
• DRP and business process knowledge: Familiarity with DRP concepts, item data flows, demand and supply planning impacts, and how accurate product data supports downstream operational decisions
• Attention to detail and data discipline: Commitment to accuracy, consistency, documentation, and follow-through when reviewing data, maintaining standards, and enforcing governance rules
• Cross-functional communication: Ability to partner with stakeholders across operations, IT, supply chain, product teams, and leadership to explain requirements, resolve data issues, and drive adoption of governance practices

The Rewards:

• Employee Stock Ownership Plan (ESOP)
• Competitive Pay
• Medical, Dental and Vision Insurance Package
• Employer Paid Life Insurance
• Paid Time Off and Holiday Pay

About AWC

As employee co-owners, we’re driven to do more than complete tasks; we build fulfilling careers by challenging assumptions and continually raising the bar. We embrace creative, innovative approaches to deepen our expertise and deliver real value to our customers.

We partner strategically with many of the world’s most recognized technology brands to help engineering, reliability, and maintenance teams solve complex problems. As experts in our partners’ technologies, we’re equipped to properly size, select, configure, and support the right solutions. Our goal is simple: combine caring, knowledgeable people with innovative technologies to help our customers succeed.

How We Win Together

We are committed to solving customer problems and welcome team members that want to be the trusted resource to those looking for a partner who out-knows, out-cares, and out-serves everyone else. Every day, we strive to deliver on our mission to empower people to make the greatest positive impact for the communities and families we serve together. Our Winning Together culture starts with a shared commitment to building an environment of inclusiveness, trust, and mutual respect. We know that when people like you are safe to pursue your passions, to learn, to serve, and to share in the rewards from our combined efforts, then we are winning together.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
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