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Master Data Management Mdm Jobs (NOW HIRING)

Bray Architects

Master Data Management Architect

Houston, TX · On-site

$60.75 - $78.25/hr

Architect scalable MDM/PIM solutions that manage key master data domains: Product, Customer, Vendor, Material, and Location. * Drive data integration architecture between MDM/PIM and enterprise ...

Springs Window Fashions

MDM Developer

Middleton, WI

Position Overview The Lead, Master Data Management (MDM) reports to the Director, Financial Systems & Analytics and serves as a lead contributor on enterprise MDM initiatives. This role balances ...

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How much do master data management mdm jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for master data management mdm in the United States is $60.34, according to ZipRecruiter salary data. Most workers in this role earn between $51.20 and $76.92 per hour, depending on experience, location, and employer.

What is Master Data Management (MDM)?

Master Data Management (MDM) is a set of processes and tools used by organizations to ensure that their critical business data, such as customer, product, supplier, and employee information, is accurate, consistent, and centrally managed across the enterprise. MDM helps eliminate data silos, reduce errors, and provide a single, trusted view of key data assets. This leads to better decision-making, improved compliance, and increased operational efficiency.

What are the key skills and qualifications needed to thrive as a Master Data Management (MDM) professional?

To excel in Master Data Management (MDM), you need a strong background in data governance, data modeling, and database management, often supported by a degree in computer science or information systems. Familiarity with MDM platforms such as Informatica, SAP MDG, or IBM InfoSphere, as well as expertise in SQL and data integration tools, is typically required. Strong analytical thinking, attention to detail, and effective communication skills help ensure data quality and facilitate collaboration with cross-functional teams. These skills are crucial for maintaining accurate, consistent, and reliable data that supports business operations and strategic decision-making.

What are some common challenges faced by professionals working in Master Data Management (MDM), and how can they be addressed?

Professionals in Master Data Management (MDM) often encounter challenges such as data inconsistencies across systems, resistance to new data governance processes, and ensuring data quality at scale. Addressing these issues typically involves collaborating closely with IT, business stakeholders, and data stewards to establish clear data standards, implement data validation rules, and promote organizational buy-in for data governance initiatives. Regular communication, ongoing training, and the use of robust MDM tools can also help streamline workflows and maintain high data integrity.

What is the difference between Master Data Management Mdm vs Data Analyst?

AspectMaster Data Management MdmData Analyst
CredentialsTypically requires a degree in IT, Computer Science, or related fields; certifications like MDM or data management certifications are common.Requires a degree in Statistics, Data Science, or related fields; certifications in data analysis tools (e.g., Excel, SQL, Tableau) are common.
Work EnvironmentWorks primarily with data governance, data quality, and enterprise data systems within organizations.Analyzes data sets to generate reports, insights, and support decision-making across various departments.
Industry UsageUsed across industries for maintaining consistent, accurate master data.Used across industries for data-driven decision-making and reporting.

Master Data Management Mdm focuses on maintaining and governing core enterprise data, ensuring data consistency. Data Analysts interpret data to provide insights. While both roles work with data, MDM is more about data governance and quality, whereas Data Analysts focus on analysis and reporting.

How much does a master data management Mdm make?

A Master Data Management (MDM) professional's salary typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in data governance and tools like Informatica or SAP may earn higher compensation.

Is master data management still a thing?

Master Data Management (MDM) remains a vital function in organizations to ensure data consistency, accuracy, and integrity across systems. MDM professionals typically work with data governance tools and data quality processes to support business decision-making and compliance efforts.

What is the average salary of master data management?

The average salary for a Master Data Management (MDM) professional typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Roles often require skills in data governance, data quality, and familiarity with MDM tools like Informatica or SAP. Certifications in data management can also influence salary levels.
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Master Data Management MDM jobs near you
Infographic showing various Master Data Management Mdm job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $125,500 per year, or $60.3 per hour.

Master Data Management (MDM) Data Engineer

American Association of Insurance Services

Lisle, IL • On-site

$130K - $175K/yr

Full-time

Posted 27 days ago

Job description

Description:

About AAIS

Since 1936, American Association of Insurance Services (“AAIS”) has served the property and casualty insurance industry as the only national not-for-profit advisory organization governed by its member companies. We are committed to evolving with changes in the insurance industry, adding value to our members, regulators, and the industry with responsive products and insights.


Purpose

The MDM Data Engineer supports AAIS’s Master Data Management platform, data governance frameworks, and supporting data integration infrastructure. This role is the operational and technical backbone of our MDM practice, owning the full lifecycle of master data — from ingestion and standardization through survivorship, stewardship, and delivery.

The ideal candidate brings deep, hands-on MDM expertise paired with strong data engineering fundamentals. They thrive in a collaborative, cross-functional environment and are comfortable translating complex data governance concepts into practical, scalable solutions.


Responsibilities

Master Data Architecture & Development

  • Build and maintain the MDM platform, including entity resolution, match/merge rules, survivorship logic, and golden record management.
  • Develop and enforce data models that support party, policy, and reference data domains across the enterprise.
  • Architect MDM hub configurations (registry, consolidation, or co-existence models) appropriate to AAIS’s operational context.
  • Build and maintain MDM integration layers connecting source systems, the data lake/warehouse, and downstream consumers.

Data Governance & Stewardship

  • Define and implement data governance policies, standards, and workflows in collaboration with Data Stewards and the Director of Data Solutions.
  • Develop data quality rules, profiling routines, and exception-handling workflows to ensure master data integrity across all jurisdictions.
  • Maintain business glossaries, data dictionaries, and lineage documentation for all master data domains.
  • Partner with business stakeholders to define data ownership, stewardship responsibilities, and escalation paths for data quality issues.

Data Quality & Profiling

  • Analyze and profile source data to assess quality, completeness, atomicity, and referential integrity prior to MDM onboarding.
  • Implement automated data quality monitoring and alerting to proactively surface master data anomalies and support data quality KPI tracking.
  • Establish and track data quality KPIs and SLAs for key master data domains.

ETL/ELT & Integration Engineering

  • Design and develop data integration pipelines that feed the MDM platform from disparate source systems in batch and near-real-time.
  • Build and maintain ETL/ELT workflows using cloud-native tooling (AWS Glue, Step Functions) and integration platforms.
  • Ensure referential integrity and consistent application of master data identifiers across the data ecosystem.

Broader Data Engineering Responsibilities

  • Support the broader Data Lake/Warehouse environment, contributing to data modeling, analytics engineering, and BI delivery as needed.
  • Collaborate with the Data Engineering team to ensure MDM outputs are properly integrated into reporting, analytics, and statistical data collection workflows.
  • Contribute to Agile sprint planning, technical documentation, and peer code review processes.
  • Clearly communicate technical concepts, data quality findings, and governance recommendations to non-technical stakeholders and leadership.
  • Perform additional duties as assigned or requested.

Knowledge, Skills, and Abilities

  • Deep, hands-on expertise in MDM platforms and patterns (e.g., Informatica MDM, Reltio, Semarchy, or equivalent) — including match/merge configuration, survivorship rules, and workflow design.
  • Strong data modeling skills with experience in both MDM-specific models and traditional warehouse patterns (Kimball, Inmon, Data Vault).
  • Proficiency in SQL and experience working with large structured and semi-structured datasets.
  • Experience designing and implementing data governance frameworks, including stewardship workflows, data quality rules, and lineage tracking.
  • Hands-on experience with cloud data platforms, preferably AWS (Glue, Athena, S3, RDS).
  • Familiarity with ETL/ELT tooling such as AWS Glue.
  • Ability to operate independently as a developer while collaborating effectively across technical and business teams.
  • Excellent written and oral communication skills; ability to articulate data governance and MDM concepts to non-technical audiences.
  • Strong critical thinking and problem-solving skills with the ability to manage multiple priorities and meet deadlines.


Requirements:
  • Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Management, or a related discipline.
  • 5+ years of data engineering experience, with a minimum of 3 years focused specifically on MDM platform development and data governance.
  • Demonstrated experience owning MDM implementations end-to-end, including data model design, match/merge tuning, and integration delivery.
  • Experience with data quality tooling and profiling methodologies.
  • Proficiency in SQL & Python
  • Experience in property and casualty insurance or other regulated industries a plus.
  • Bonus: Experience working with statistical data, Actuarial models, or licensed statistical agent environments.
  • Up to 5% travel for annual company gatherings or team sessions.

Minimum starting base of $130,000, with upward flexibility based on skills and experience + 10% annual bonus.

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