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 in MDM, middleware, integration, data engineering, and analytics. Set priorities, manage deliverables, and track progress against roadmap.
- Build, mentor, and lead a high-performing MDM / data-governance team - data stewards, data architects, engineers, and analysts.
- Promote a data-driven culture - educate business and technical partners on master-data best practices, enforce stewardship responsibilities, and foster accountability for data quality.
- Define integration architecture: lead how MDM interacts with middleware (API gateways, ESB/bus, message queues, event streams, file exchanges), and how master data flows to ERP, supply-chain systems, merchandising, e-commerce, analytics, and reporting systems.
- Oversee data migration, onboarding of legacy and third-party data sources, data cleansing, harmonization, and unification under the master-data model.
- Establish and enforce data governance, stewardship model, data-quality standards, metadata management, lineage tracking, and data access controls.
- Build data quality frameworks: define KPIs, monitoring, auditing, remediation processes, and continuous improvement loops.
- Work with analytics, BI, and reporting teams to ensure master data supports reliable reporting, business intelligence, and downstream analytics decisions.
- Align with compliance, security, and privacy - ensure governance and controls meet applicable regulatory or industry standards.
- Drive continuous improvement: identify opportunities for automation, reusability, scalability, and optimization of data infrastructure and processes.
Qualifications you'll bring as a Master Data Management DirectorRequired- Bachelor's or Master's degree in Computer Science, Information Systems, Data Management, or related field.
- 10+ years in data management, data architecture, or master-data management; with at least 5+ years leading or managing enterprise MDM programs.
- Hands-on experience with MDM platforms such as Syndigo, Informatica MDM (or equivalent) including design and implementation of master-data models, hierarchies, and governance frameworks.
- Strong technical understanding of middleware/integration architectures (APIs, ESBs, event/message-based systems, batch or real-time data flows) and how MDM should integrate with downstream applications (ERP, supply-chain, e-commerce, analytics).
- Proven experience in data migration, system consolidation, data cleansing/standardization, and data unification across multiple source systems.
- Deep understanding of data governance, data quality, metadata, lineage, stewardship, access control, and data lifecycle management.
Experience leading cross-functional and vendor teams in large enterprise transformations. - Strong leadership, communication, stakeholder management - able to work with business execs, engineering teams, analytics, operations, and supply-chain partners.
Preferred / Nice to Have- Experience working in retail, distribution, manufacturing, CPG or supply-chain heavy environment.
- Familiarity with cloud data platforms, data warehouses/lakes, data integration tools, and modern data architectures.
- Experience establishing or working with enterprise data catalog, metadata repositories, or data lineage tools.
- Background working on or overseeing data-platform modernization, data-warehouse / lakehouse migrations, or cloud-first data strategies.
- Ability to communicate complex technical concepts to business and non-technical stakeholders.
- A mindset oriented toward continuous improvement, scalability, reusability, and operational excellence.
What Success Looks Like / Why It Matters- You will lead the transformation of how master data is governed and used across the enterprise - delivering reliable, consistent, and high-quality data for supply-chain, product, vendor/customer master, e-commerce, analytics, and operations.
- You'll enable critical cross-system integration and data flow - reducing duplication, errors, and data silos - and enabling better reporting, analytics, and operational efficiency.
- You'll build and grow a capable MDM/data-governance team, instill best practices and stewardship, and embed data-quality culture across the business.
- You'll help McLane scale its operations, support business growth, and leverage data as a strategic asset across merchandising, logistics, supply chain, and commerce.
Fit the following? We want you here!- Teamwork oriented
- Organized
- Problem solver
- Detailed
Our roadmap. Our story. 
