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Remote Data Management Jobs in Tennessee (NOW HIRING)

Data Science Analyst - Remote

Brentwood, TN · On-site +1

$75K - $87K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This is a Full Time, remote, Data Science Analyst role. What You'll Do Data Analysis & Manipulation ... Partner with stakeholders to scope projects, align on goals, and manage expectations * Communicate ...

Data management and evaluation * Prepare technical reports * Ensure that Wood administrative and ... Regional travel to field project sites and occasional remote field assignments may be required

Data management and evaluation * Prepare technical reports * Ensure that Wood administrative and ... Regional travel to field project sites and occasional remote field assignments may be required

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Remote Data Management information

See Tennessee salary details

$11

$41

$83

How much do remote data management jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for remote data management in Tennessee is $41.40, according to ZipRecruiter salary data. Most workers in this role earn between $21.11 and $58.23 per hour, depending on experience, location, and employer.

What is remote data management?

Remote Data Management refers to the practice of organizing, storing, securing, and analyzing data from a location outside of an organization's physical premises. Professionals in this field use cloud-based tools and remote access software to manage databases, ensure data integrity, and facilitate data sharing among distributed teams. This approach enables businesses to maintain their data infrastructure efficiently while supporting remote work and global collaboration. It also involves implementing protocols to ensure data security and compliance with relevant regulations.

What are remote jobs in data management?

Various types of remote data management jobs are available in healthcare and insurance, with titles like clinical data manager, analyst, and auditor. In these jobs, you manage a database and provide analysis of information related to clinical trials, medical payments, operational activities, and more. Your duties and responsibilities include generating reports, database administration, and providing support for coworkers throughout your organization, but your responsibilities can vary based on what kinds of data you store. Additionally, you work with your company’s leadership to address issues affecting the availability and use of data and proactively suggest strategies for improving efficiency and accuracy. In some roles, you also participate in project planning, resource allocation, and budgeting.

What are the key skills and qualifications needed to thrive in remote data management?

To thrive in Remote Data Management, you need strong analytical skills, attention to detail, and a solid understanding of database concepts, often supported by a degree in information systems or a related field. Proficiency with data management tools such as SQL, Microsoft Excel, and cloud-based platforms like AWS or Google Cloud, as well as knowledge of data privacy regulations, is typically required. Excellent communication, self-motivation, and time management are important soft skills for collaborating with distributed teams and managing tasks independently. These skills ensure accurate, secure, and efficient handling of data assets while maintaining productivity and compliance in a remote work environment.

What are some common challenges faced in remote data management, and how can they be addressed?

One common challenge in remote data management is ensuring data security and integrity while working outside a traditional office environment. Remote team members must follow strict protocols for data access and regularly update security measures to protect sensitive information. Additionally, effective communication and collaboration with cross-functional teams can be more difficult remotely, so utilizing project management and communication tools is vital. Establishing clear workflows and regular check-ins helps maintain data consistency and team alignment.

What is the difference between Remote Data Management vs Data Analyst?

AspectRemote Data ManagementData Analyst
CredentialsTypically requires a degree in IT, Computer Science, or related fields; certifications like Microsoft Certified Data Analyst or AWS Data AnalyticsRequires a degree in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst Associate or Tableau Desktop Specialist
Work EnvironmentPrimarily remote, working with databases, data warehouses, and cloud platformsRemote or on-site, analyzing data sets, creating reports, and visualizations
Industry UsageUsed across IT, finance, healthcare, and e-commerce sectorsCommon in finance, marketing, healthcare, and consulting industries

Remote Data Management and Data Analysts share overlapping skills in data handling and analytics, but differ mainly in focus. Remote Data Management emphasizes database administration and cloud platforms, while Data Analysts focus on interpreting data and creating insights. Both roles are vital in data-driven organizations and often collaborate to optimize data use.

What are the most commonly searched types of Data Management jobs in Tennessee?

The most popular types of Data Management jobs in Tennessee are:

What are popular job titles related to Remote Data Management jobs in Tennessee?

For Remote Data Management jobs in Tennessee, the most frequently searched job titles are:

What cities in Tennessee are hiring for Remote Data Management jobs?

Cities in Tennessee with the most Remote Data Management job openings:

Infographic showing various Remote Data Management job openings in Tennessee as of August 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 100% Remote job distribution, with an average salary of $86,109 per year, or $41.4 per hour.

IT Director, Master Data Management (Remote)

Highline Warren

Memphis, TN • Remote

Full-time

Re-posted 2 days ago


Highline Warren rating

7.3

Company rating: 7.3 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

64th of 100 rated chemical manufacturers


Job description

Summary

We are seeking a remote IT Director, Master Data Management, to lead and mature our enterprise MDM practice. This is a high-impact role that blends hands-on technical depth with strategic leadership, owning the MDM platform roadmap, data governance framework, golden record strategy, and team performance. The Director will set data management standards, mentor a team of MDM product owners, technical leads, and analysts, and remain close enough to the work to guide complex data modeling decisions, troubleshoot data quality issues, and drive architectural alignment with enterprise IT standards.

The ideal candidate is equally proficient in presenting a multi-domain MDM strategy to senior leadership and rolling up their sleeves to review match-merge logic, define survivorship rules, or resolve critical data quality incidents. This role partners with C-level executives, business partners, and external suppliers to ensure the business is satisfied with the MDM approach and methodology, delivering a single, trusted view of product, customer, and vendor data across the enterprise.

Key Responsibilities

Hands-On Technical Leadership

  • Serve as the senior technical authority on enterprise master data management, maintaining deep working proficiency in EnterWorks 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 DevOps/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; prioritize work in collaboration with business stakeholders and the PMO to maximize value delivery.

  • Conduct regular 1:1s, performance reviews, and career development conversations; build a high-performing, engaged MDM team.

  • Own vendor relationship including sourcing, contracting, and ensuring timely, high quality deliverables.

  • Plans, recruits, hires, and on-boards strong talent to build and sustain a best-in-class MDM team.

  • Prepare executive-level status reports, dashboards, and presentations summarizing MDM program health and strategic progress.

Minimum Qualifications

  • Bachelors degree in Computer Science, Information Technology, Data Management, or a related discipline.

  • 10+ years of progressive experience in master data management, data governance, or data management, with at least 5 years in a people-leadership role (Manager or above).

  • Hands-on expertise with enterprise MDM platforms (e.g., EnterWorks, Informatica MDM, Reltio, Profisee, or comparable solutions).

  • Strong knowledge of MDM design patterns including multi-domain data modeling, match-merge and entity resolution, survivorship logic, hierarchy management, and golden record creation.

  • Demonstrated understanding of data governance frameworks, data stewardship models, and data quality management practices.

  • Experience managing MDM technologies and ensuring integration with ERP, CRM, and other enterprise business systems (e.g., SAP, Oracle, Salesforce, or similar).

  • Strong proficiency in SQL and relational databases (SQL Server, Oracle, Snowflake, or similar).

  • Experience working in a hybrid (on-premises and cloud) infrastructure environment.

  • Experience with Agile/Scrum development methodology.

  • Proven ability to manage team capacity, report on delivery metrics, and communicate effectively with both technical and executive audiences.

Preferred Qualifications

  • Masters degree or MBA.

  • Certifications in data management or governance (e.g., CDMP Certified Data Management Professional, DGSP Data Governance & Stewardship Professional).

  • Experience establishing or maturing data governance programs, including data governance councils, RACI matrices for data ownership, and business glossary initiatives.

  • Familiarity with data quality and profiling tools for monitoring and enforcing data standards.

  • Experience with data warehousing platforms (Snowflake, Redshift) and analytics pipelines (dbt, Sigma, Tableau).

  • Working knowledge of integration platforms (e.g., Informatica IICS) and how MDM interacts with enterprise integration and data pipelines.

  • Experience with IT portfolio and project management tools such as Jira and/or Confluence.

  • Track record of vendor management, including SOW negotiation, partner delivery oversight, and third-party resource integration.

  • Background in manufacturing, distribution, or B2B industries is a strong plus.

Key Competencies

  • Technical
    • MDM architecture & multi-domain data modeling
    • MDM platform expertise (EnterWorks & comparable)
    • Golden record design & survivorship logic
    • Data governance frameworks & stewardship
    • Data quality management & profiling
    • SQL, data modeling & entity resolution
    • ERP/CRM system integration knowledge
  • Leadership & Management
    • Strategic thinking & roadmap ownership
    • Team building, coaching & mentorship
    • Stakeholder communication & executive reporting
    • Delivery framework design & continuous improvement
    • Capacity planning & resource management
    • Vendor & partner management
    • Cross-functional collaboration & influence

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