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Master Data Manager Jobs in Tennessee (NOW HIRING)

Fast, controlled change management for master data with predictable cycle time. Actions: • Operate a transparent intake/triage workflow for master data requests (create/change/block) with defined ...

Fast, controlled change management for master data with predictable cycle time. Actions: • Operate a transparent intake/triage workflow for master data requests (create/change/block) with defined ...

Fast, controlled change management for master data with predictable cycle time. Actions: Operate a transparent intake/triage workflow for master data requests (create/change/block) with defined SLAs ...

Fast, controlled change management for master data with predictable cycle time. Actions: • Operate a transparent intake/triage workflow for master data requests (create/change/block) with defined ...

Fast, controlled change management for master data with predictable cycle time. Actions: Operate a transparent intake/triage workflow for master data requests (create/change/block) with defined SLAs ...

Fast, controlled change management for master data with predictable cycle time. Actions: • Operate a transparent intake/triage workflow for master data requests (create/change/block) with defined ...

Qualifications • High school diploma or equivalent required; degree in business, accounting, finance, data management, or related field preferred. • Experience with customer master data, AR ...

The Master Data Specialist at Reily Foods is responsible for maintaining and updating critical ... This role involves creating and managing well-structured data flows and processes, ensuring ...

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Showing results 1-20

Master Data Manager information

See Tennessee salary details

$28.1K

$88.2K

$156.1K

How much do master data manager jobs pay per year?

As of Jul 17, 2026, the average yearly pay for master data manager in Tennessee is $88,170.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,900.00 and $113,900.00 per year, depending on experience, location, and employer.

How does a Master Data Manager typically collaborate with other departments to ensure data consistency across the organization?

A Master Data Manager works closely with teams such as IT, finance, operations, and sales to establish and enforce data governance policies. They facilitate regular communication to align data standards and resolve discrepancies, often leading cross-functional meetings to address data quality issues. By collaborating on data integration projects and implementing best practices, Master Data Managers ensure that all departments have access to accurate and consistent information, which is crucial for decision-making and operational efficiency.

Is MDM outdated?

Master Data Management (MDM) remains a vital function for data-driven organizations, ensuring data consistency and accuracy across systems. While new technologies like data lakes and cloud platforms have evolved, MDM practices are still essential for maintaining reliable master data, and professionals in this field need skills in data governance and tools like Informatica or Collibra.

What is the difference between Master Data Manager vs Data Analyst?

AspectMaster Data ManagerData Analyst
Required CredentialsBachelor's degree in Business, IT, or related field; certifications like CDMP or DAMABachelor's degree in Statistics, Mathematics, or related field; certifications like CAP or Microsoft Data Analyst
Work EnvironmentData management teams, IT departments, enterprise systemsBusiness units, analytics teams, reporting departments
Employer & Industry UsageFinance, healthcare, retail, manufacturingMarketing, finance, consulting, technology

The Master Data Manager focuses on maintaining and governing core data assets across an organization, ensuring data accuracy and consistency. In contrast, a Data Analyst interprets data to generate insights and support decision-making. While both roles require data-related skills, the Master Data Manager emphasizes data governance and management, whereas the Data Analyst emphasizes data analysis and reporting.

What are the 4 types of MDM?

Master Data Management (MDM) typically includes four main types: consolidated, registry, coexistence, and centralized. Consolidated MDM creates a single, unified view of data by merging records from multiple sources, while registry MDM maintains links between records without merging. Coexistence MDM allows data to be managed separately but synchronized, and centralized MDM stores all master data in a single repository, often requiring strong data governance and data quality practices.

What are the key skills and qualifications needed to thrive as a Master Data Manager, and why are they important?

To thrive as a Master Data Manager, you need expertise in data governance, data quality management, and strong analytical skills, typically supported by a degree in information systems or a related field. Familiarity with master data management (MDM) platforms like Informatica or SAP MDG, and certifications in data management are highly beneficial. Exceptional communication, attention to detail, and project management abilities help you collaborate across departments and drive data initiatives. These skills ensure accurate, consistent, and reliable data that supports business decision-making and operational efficiency.

What is the role of a master data manager?

A master data manager is responsible for overseeing the organization’s core data assets, ensuring data accuracy, consistency, and integrity across systems. They develop data governance policies, manage data quality initiatives, and collaborate with IT and business teams to maintain reliable master data. Proficiency in data management tools and understanding of data standards are essential for this role.

What is a Master Data Manager?

A Master Data Manager is a professional responsible for overseeing an organization’s critical business data, ensuring its accuracy, consistency, and security across various systems. They develop and implement policies and processes for managing master data, such as customer, product, or supplier information. Their role often involves data governance, quality control, and collaborating with different departments to maintain data integrity. Master Data Managers help organizations make informed decisions by providing reliable data and supporting compliance with regulatory requirements.

What is a master data management job?

A master data management (MDM) job involves overseeing and maintaining an organization’s core data assets to ensure accuracy, consistency, and reliability across systems. Professionals in this role typically work with data governance, data quality tools, and enterprise software to create a unified view of critical information such as customer, product, or supplier data.
What are the most commonly searched types of Master Data jobs in Tennessee? The most popular types of Master Data jobs in Tennessee are:
What cities in Tennessee are hiring for Master Data Manager jobs? Cities in Tennessee with the most Master Data Manager job openings:
Infographic showing various Master Data Manager job openings in Tennessee as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 10% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $88,170 per year, or $42.4 per hour.
Master Data Specialist

Master Data Specialist

Buckman

Memphis, TN • On-site

Full-time

Posted 21 days ago


Job description

Descrição
Master Data Specialist
Buckman - Memphis, TN
Location: Memphis, TN
Language: English
Travel: up to 5%
Buckman is a privately held, global specialty chemical company with headquarters in Memphis, TN, USA, committed to safeguarding the environment, maintaining safety in the workplace, and promoting sustainable development. Buckman delivers exceptional service and innovative solutions to our customers globally in the pulp and paper, leather, and water treatment sectors to help boost productivity, reduce risk, improve product quality, and provide a measurable return on investment.
Position Summary
Own and steward Buckman North America supply chain and manufacturing master data so that planning, scheduling, procurement, manufacturing, quality, and customer fulfillment operate on a single, accurate version of the truth.
Key Outcomes/Responsibilities
Outcome: Reliable, audit-ready material master supporting planning and execution across 1,876 SKUs.
Actions:
• Create and maintain material master records (FG, WIP, RM, PFR) with complete MRP, costing, storage, batch/QM, and logistics attributes; enforce naming, classification, and documentation standards.
• Run routine data-quality checks (completeness, duplicates, blocked/inactive, lead-time sanity, UoM consistency); correct defects and prevent recurrence through standards and training.
• Partner with planners/schedulers and plant SMEs to validate key planning parameters (lot size, safety stock, MRP type, procurement type, lead times, rounding values) and align to S&OP policies.
Outcome: Fast, controlled change management for master data with predictable cycle time.
Actions:
• Operate a transparent intake/triage workflow for master data requests (create/change/block) with defined SLAs by object type and criticality.
• Perform impact assessment for changes affecting supply, cost, labeling, regulatory/QM, and customer service; coordinate approvals with accountable owners.
• Maintain a change log and version control for critical objects (recipes/BOMs, routings, production versions, QM specs) to enable traceability and post-issue root cause analysis.
Outcome: Master data that enables stable production scheduling and OTIF customer service.
Actions:
• Ensure routings, work centers, production versions, and batch sizes reflect plant reality to support realistic promise dates and efficient sequencing.
• Maintain packaging and tolling attributes, alternative supply sources, and PFR relationships so supply planners can execute substitutions and allocations without data rework.
• Monitor execution exceptions tied to master data (MRP messages, ATP failures, batch determination/QM blocks) and eliminate top recurring causes.
Outcome: Improved inventory health and working capital through accurate master data and governance.
Actions:
• Maintain accurate shelf-life/expiration, batch management, storage conditions, and disposition rules to minimize write-offs and prevent shipment of nonconforming material.
• Support SLOB and red-tag programs by ensuring correct lifecycle status, obsolescence flags, and substitution rules; coordinate timely blocking/inactivation of obsolete SKUs.
• Validate planning parameters (safety stock, reorder points/ROP, rounding) and lead times using performance data to avoid chronic over/under stocking.
Outcome: High-quality new product and raw material introduction (NPIP / NRIP) and transitions with 'right-first-time' data.
Actions:
• Lead master data readiness for NPIP, NRIP and formula/labeling changes: create end-to-end objects (materials, BOM/recipes, routings, QM inspection plans/specs, packaging, GTIN/UoM) before first production.
• Coordinate cross-functional sign-offs (R&D, Quality, Regulatory, Operations, Planning, Customer Service) for new or changed SKUs.
• Provide cutover plans and data validation checklists for launches, transitions, and phase-outs to prevent order blocks and shipment errors.
Outcome: Standardized data governance, ownership, and controls aligned to supply chain excellence practices.
Actions:
• Define and maintain master data standards, RACI, and controls (field ownership, required documentation, approval matrix) consistent with APICS-aligned process governance.
• Develop training, job aids, and templates; coach requestors and plant SMEs to improve first-pass quality and reduce rework.
• Support audits and compliance reviews by providing evidence of approvals, change history, and control effectiveness.
Outcome: Actionable visibility of master data performance and continuous improvement.
Actions:
• Create and maintain dashboards/scorecards (defect rate, SLA attainment, top defect types, aging requests) using available analytics tools.
• Facilitate routine master data health reviews with Planning, Manufacturing, Quality, and Customer Service; drive corrective actions and systemic fixes.
• Identify automation opportunities (templates, validations, workflows) to reduce manual effort and error rates.
Basic Qualifications
  • Education Requirements: Bachelor's Degree in Supply Chain, Business, Engineering, or related
  • Job Experience: 2 - 3 years
  • APICS/ASCM CPIM required or obtained within 12 months
  • ERP / APS systems (SAP required)

Competencies
  • Drives Results - Consistently achieving results, even under tough circumstances
  • Communicates Effectively - Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
  • Build Networks - Effectively building formal and informal relationship networks inside and outside the organization
  • Manages Complexity - Making sense of complex, high quantity, and sometimes contradictory information to effectively solve problems
  • Plans and Aligns - Planning and prioritizing work to meet commitments aligned with organizational goals

We appreciate the interest of recruitment partners, but we are not engaging external agencies for this role.
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