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Director, Master Data Management

Job in Memphis, Shelby County, Tennessee, 37544, USA
Listing for: Highline Warren
Full Time position
Listed on 2026-07-18
Job specializations:
  • IT/Tech
    IT Project Manager, IT Business Analyst, Data Engineering, IT Consultant
Salary/Wage Range or Industry Benchmark: 140000 - 210000 USD Yearly USD 140000.00 210000.00 YEAR
Job Description & How to Apply Below

Key Responsibilities Hands-On Technical Leadership

Serve as the senior technical authority on enterprise master data management, maintaining deep working proficiency in Enter Works and MDM design patterns including data modeling, match-merge configuration, survivorship rules, and golden record creation.

Personally engage in the design and review of complex, high-risk, or cross-domain MDM solutions to ensure data quality, scalability, and alignment with enterprise architecture standards.

Define and enforce MDM architecture standards including data domain modeling, hierarchy management, entity resolution patterns, data quality rules, and environment-promotion workflows.

Lead root‑cause analysis on critical master data quality failures and guide the team toward durable resolution, including remediation of duplicate records, orphaned entities, and cross‑system inconsistencies.

Data Governance & Stewardship

Develop, implement, and maintain MDM policies, standards, and procedures to support business goals and regulatory compliance requirements.

Establish and oversee data governance strategies for product, customer, and vendor data domains, including data ownership, stewardship roles, and accountability frameworks.

Define and monitor key performance indicators (KPIs) for data quality, integrity, completeness, and availability across all master data domains.

Oversee data stewardship activities and provide guidance to business users on master data processes, change workflows, and approval protocols.

Champion the adoption of a business glossary and metadata management practices to ensure common data definitions and business rules across the enterprise.

Strategic Direction & Roadmap

Define and own the multi-year MDM platform strategy and technology roadmap, aligned with enterprise architecture principles and business growth objectives.

Evaluate emerging MDM technologies, data governance tools, and vendor offerings; make build‑vs‑buy recommendations with supporting business cases.

Lead strategic planning, roadmap development, and operational planning for the MDM function, including domain prioritization and phased rollout plans.

Partner with Enterprise Architecture, Integration, Data & Analytics, Application, and Security teams to ensure MDM solutions support the broader technology portfolio.

Represent the MDM function in IT governance forums, architecture review boards, steering committees, and other forums as needed.

Business Partnership & Satisfaction

Collaborate with IT, business units, and external partners to identify data quality issues, understand business data needs, and drive remediation efforts.

Act as the primary liaison between business stakeholders and the MDM team, ensuring the MDM approach and methodology meets business expectations and delivers measurable value.

Support major projects and initiatives requiring master data expertise, including acquisitions, system migrations, and edge application implementations, and other projects and enhancements.

Facilitate data governance council meetings and cross‑functional working sessions to align MDM priorities with business strategy.

Delivery Framework & Execution

Establish and continuously improve the MDM delivery framework encompassing intake, estimation, prioritization, sprint planning, testing, deployment, and post‑go‑live support.

Ensure the team follows a consistent SDLC methodology (Agile/Scrum preferred) with well‑defined Definition of Ready and Definition of Done for MDM work items.

Own release management practices for the MDM platform, coordinating with Dev Ops/CI‑CD pipelines and environment management.

Drive adoption of automation in data quality monitoring, data profiling, and data validation to increase velocity and reduce manual effort.

Team and Vendor Performance, Reporting & Resource Management

Report on team delivery metrics to IT and business leadership, including throughput, cycle time, backlog health, data quality scorecards, and team utilization.

Manage resource capacity planning: balance incoming demand against team availability, flag risks early, and recommend staffing or outsourcing adjustments.

Maintain visibility into the MDM backlog;…

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