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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Governance Manager - Master Data & Analytics - **Company:** Flinthills Trading Company, LLC - **Location:** Minneapolis, KS, United States (Remote available) - **Salary:** $76,000.0 - $100,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Databases, Customer Data Management, Data Architecture, Data Governance, Data Warehousing, Database Theory, Technical Data Management Systems, Transaction Data, Data Analytics, Data Management - **Published:** September 24, 2026 - **Apply:** https://www.thejobnetwork.com/job/data-governance-manager-509975889 ## About the Role We're looking for someone who combines technical data knowledge with business judgment and the ability to lead through influence. ## Description This is not simply a data maintenance position. It is an opportunity to build and mature an enterprise capability. You will lead governance across critical data domains including Customer, Product/SKU, Supplier, and Transaction data while helping establish the standards, architecture, processes, and information-quality practices that support better decision-making throughout the Company. Working closely with business leaders, Information Services, Data Analytics, and subject matter experts, you will help transform trusted enterprise data into better customer targeting, personalized marketing, sales growth, sourcing decisions, operational efficiency, analytics, reporting, and future Artificial Intelligence applications. If you enjoy bringing order to complex information, influencing people across an organization, and building systems that create lasting business value, this may be the opportunity for you. Build Something Designed to Last Huyett operates with a long-term mindset. We believe sustainable growth comes from investing in people, continuously improving how we work, embracing practical innovation, and building capabilities that create value well into the future. For this role, that means you won't simply inherit a mature governance program and maintain it. You'll have the opportunity to shape how enterprise data governance develops at Huyett. You'll work across functions and levels of the organization, gaining exposure to Information Services, Data Analytics, Sales, Marketing, Supply Chain, Operations, and Executive Leadership. As Huyett's data capabilities continue to mature, this role has the potential to grow in scope, leadership responsibility, and enterprise impact. What You'll Lead Enterprise Data Governance & Master Data Management Establish and continuously improve standards, processes, ownership practices, and input specifications across Customer, Product/SKU, Supplier, Transaction, and other business domains. Help ensure enterprise information is consistently defined, measurable, governed, and suitable for business operations, analytics, and future AI applications. Information Architecture & Analytics Enablement Partner with Information Services and Data Analytics to translate business information requirements into effective database, integration, reporting, analytics, and data warehouse solutions. Help ensure analytical capabilities are built upon approved Systems of Record, trusted business definitions, and reliable enterprise information. Data Architecture & Design Partner with developers and technical resources to approve and maintain master data structures. Help create normalized, validated, and scalable frameworks that connect customer behaviors, product attributes, supplier information, transactions, and pricing to actionable business insights. Information Quality & Continuous Improvement Establish baselines, scorecards, and measurable objectives for Information Quality. Monitor accuracy, completeness, consistency, duplication, and reliability while identifying opportunities and leading corrective and continuous-improvement initiatives. Customer Data & Enrichment Improve the quality and usefulness of customer information by standardizing account structures, improving contact capture, enriching records with third-party data, validating NAICS classifications, and advancing customer stratification and segmentation. Product, Supplier & Transaction Data Develop and maintain governance practices that improve the quality and consistency of product, supplier, and transaction-level information used throughout Huyett's commercial and operational processes. Analytics & Commercial Enablement Help turn trusted enterprise information into actionable insight supporting customer segmentation, prospecting, sales growth, personalized marketing, sourcing decisions, operational performance, and other strategic initiatives. Leadership & Change Management Lead cross-functional information initiatives through collaboration and influence. Work with Executive Leadership, Business Leaders, Information Services, Data Analytics, Subject Matter Experts, and governance stakeholders to improve data literacy, accountability, and adoption. What Success Looks Like You will be successful in this role when people across Huyett have greater confidence in the information they use to make decisions. You'll help create an environment where: * Critical enterprise information has clear definitions, standards, and ownership. * Customer, product, supplier, and transaction data becomes increasingly accurate, complete, timely, and useful. * Data quality can be measured and continuously improved. * Business and technical teams share a common understanding of Trusted Enterprise Information. * Reporting and analytics are supported by reliable Systems of Record. * Leaders can use information more confidently to make commercial and operational decisions. * Huyett's data foundation is increasingly prepared to support advanced analytics and Artificial Intelligence., * Master Data Management (MDM) and/or enterprise Data Governance. * Data quality, stewardship, standards, ownership, and governance frameworks. * ERP, CRM, data warehouse, Business Intelligence, or related enterprise platforms. * Customer, product/item/SKU, supplier, pricing, or transaction data. * Data architecture, modeling, normalization, integration, or database concepts. * Reporting, analytics, segmentation, or commercial data applications. * Leading cross-functional projects and influencing stakeholders without relying solely on positional authority. * Translating technical data concepts into practical business solutions. * Manufacturing, industrial distribution, wholesale distribution, supply chain, or similarly complex product environments. Experience with every item above is not required. We are particularly interested in candidates who demonstrate curiosity, sound judgment, business understanding, continuous improvement, and the ability to build scalable processes., Our preference is for this position to be based in Minneapolis, KS, where the role can work closely with key business stakeholders and operations.