Master Data Management Director

McLane

Austin, TX · Onsite · Full Time

Posted

Job description

Job Description Take your career further with McLane! McLane teammates, the driving force behind our success, are diverse professionals who work together seamlessly to keep our operations running smoothly. McLane leaders think long-term, act with purpose, and inspire high performance. They lead with accountability, communicate clearly, and drive results through collaboration, innovation, and continuous growth. They empower each teammate to learn from industry leaders, develop their skills, and build lasting connections nationwide. We are looking for a Director to lead our Master Data Management transformation. This leader will define and execute the enterprise data strategy for master data (product, vendor, customer, item), build the target-state architecture across MDM platforms and middleware, and ensure master data is accurate, consistent, governed, and seamlessly integrated across downstream systems and analytics. You will play a critical role in enabling trusted data - the foundation for operational excellence, analytics, supply-chain, and commerce systems. This is a hybrid position which will require the candidate to report and work from the office three days a week. Therefore, interested candidates should be within a 50-minute radius from Temple, TX. Benefits you can count on: Day 1 Benefits: medical, dental, and vision insurance, FSA/HSA, and company-paid life insurance. Paid time off begins day one. 401(k) Profit Sharing Plan after 90 days. Additional benefits: pet insurance, maternity/paternity leave, employee assistance programs, discount programs, tuition reimbursement program, and more! What you'll do as a Master Data Management Director: Own and drive the enterprise MDM transformation roadmap - define future-state architecture, data domains, governance, integration and stewardship. Lead strategic design and hands-on oversight of MDM platforms (e.g., Syndigo, Informatica MDM or equivalent), including data models, master-data domains (product, vendor, customer, item), hierarchy management, matching/merging, survivorship logic, data enrichment, validations, and metadata. Collaborate closely with business stakeholders (merchandising, supply-chain, operations, finance, digital) as well as engineering, architecture, analytics teams to translate business requirements into technical solutions. Lead cross-functional teams and vendor partners involved i…

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