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Reference Data Management Jobs (NOW HIRING)

SmartIPlace

Technical Data Analyst

Jersey City, NJ · On-site

Strong experience with Master Data Management (MDM) and enterprise data analysis. * Expertise in financial master and reference data domains including Security Master, Account, Benchmark, Client, and ...

Tranzeal Incorporated

SAP BTP Data Architect

Austin, TX · On-site

$63.25 - $81.25/hr

... data management strategies. The role involves building the SAP data foundation, producing reference data architectures, and enabling analytics and AI use cases by ensuring data consistency and ...

1872 Consulting

Sr Data Analyst

Chicago, IL · On-site

$88K - $111K/yr

... reference and pricing data. The role involves collaborating with business and technology partners, managing databases, and supporting security governance processes. Responsibilities : • Provide ...

Avani Technology Solutions, Inc.

Data Architect

Austin, TX · On-site

$62.50 - $80.50/hr

... of Reference Data, Data Quality, Metadata Management 5 Experience leading and evolving corporate culture to a data driven organization 5 Experience performing oversight of data quality and master ...

TD Bank Group

$149 - $223/hr

Define and maintain the enterprise technology reference data architecture.* Develop and govern canonical data models across infrastructure, cyber, cloud, AI, operational, and service management ...

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Reference Data Management information

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$31K

$97.1K

$172K

How much do reference data management jobs pay per year?

As of Sep 3, 2026, the average yearly pay for reference data management in the United States is $97,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $125,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a reference data management professional?

To thrive in Reference Data Management, you need strong analytical skills, attention to detail, and a background in information systems or business, often with a relevant degree. Familiarity with data management tools such as SQL, data governance platforms, and master data management (MDM) systems, as well as knowledge of industry data standards, is typically required. Excellent communication, problem-solving abilities, and stakeholder management are essential soft skills for ensuring data quality and alignment across departments. These skills are crucial for maintaining accurate, consistent reference data that supports effective business operations and regulatory compliance.

What are some common challenges faced by professionals in reference data management roles, and how can they be addressed?

Professionals in Reference Data Management often encounter challenges related to maintaining data accuracy, consistency, and completeness across multiple systems. Dealing with legacy systems, data silos, and frequent data updates can make it difficult to ensure data quality. To address these issues, it's essential to implement robust data governance policies, leverage automated data validation tools, and collaborate closely with IT and business teams. Regular training and clear communication channels also help in keeping data standards aligned across the organization.

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

AspectReference Data ManagementData Analyst
Primary FocusManaging and maintaining reference data across systemsAnalyzing data to generate insights and reports
Skills & CertificationsData governance, data quality, database managementStatistical analysis, data visualization, SQL, Excel
Work EnvironmentIT departments, data management teamsBusiness units, analytics teams
Industry UsageFinancial services, healthcare, retailMarketing, finance, operations

While Reference Data Management focuses on maintaining consistent reference data across systems, Data Analysts interpret data to support decision-making. Both roles require strong data skills but serve different functions within organizations.

What is reference data management?

Reference data management is the process of organizing, maintaining, and governing key data elements that are used across multiple systems and processes within an organization. It ensures data consistency, accuracy, and standardization, often involving tools like data governance platforms and data quality software. Professionals in this field need strong attention to detail and knowledge of data standards and compliance requirements.
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Cities with the most Reference Data Management job openings:

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Reference Data Management jobs near you
Infographic showing various Reference Data Management job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $97,145 per year, or $46.7 per hour.

Technical Data Analyst

SmartIPlace

Jersey City, NJ • On-site

Contractor

Re-posted 2 days ago

Job description

Hi,

I hope you are doing well.

Please find the job details below:

Job Title: Technical Data Analyst
Location: Jersey City, NJ

Must Have Qualifications:

  • 5–6 years of experience in Data Analysis, Data Engineering, or a related technical role.

  • Strong experience with Master Data Management (MDM) and enterprise data analysis.

  • Expertise in financial master and reference data domains including Security Master, Account, Benchmark, Client, and related financial datasets.

  • Experience with enterprise MDM platforms such as GoldenSource or similar solutions.

  • Strong understanding of Financial Services data ecosystems and operational data flows.

  • Experience with fund accounting, wealth management, custody, investment operations, or related financial platforms.

  • Strong SQL skills with experience analyzing large and complex datasets.

  • Experience with data mapping, source-to-target mapping, reconciliation, and data lineage documentation.

  • Understanding of data modeling, data warehousing, and enterprise data integration.

  • Familiarity with cloud data platforms including Databricks, Spark, Azure, AWS, or similar technologies.

  • Knowledge of metadata management, data governance, and data quality processes.

  • Bachelor's degree in Computer Science, Information Systems, Finance, Engineering, Mathematics, or a related field.

Schedule: Standard

Position Overview

We are seeking an experienced Technical Data Analyst with expertise in Master Data Management (MDM), financial data domains, and enterprise data platforms within the Financial Services industry. The role supports enterprise data initiatives focused on Security Master, Account, Benchmark, Client, and other critical master and reference data domains while driving data modernization and cloud transformation initiatives.

Responsibilities

  • Serve as a Subject Matter Expert (SME) for Master Data Management (MDM) across Security Master, Account, Client, Benchmark, and related financial data domains.

  • Analyze, profile, and document enterprise data flows, business rules, and data lineage.

  • Support enterprise MDM implementation and modernization initiatives.

  • Perform data analysis, source-to-target mapping, reconciliation, and integration across multiple financial systems.

  • Collaborate with data architects, engineers, governance teams, and business stakeholders.

  • Support integration of legacy financial systems into enterprise data warehouses, data lakes, and cloud platforms.

  • Drive data quality, governance, metadata management, and operational controls.

  • Partner with engineering teams supporting Databricks, Spark, and cloud-native data platforms.

  • Support enterprise reporting, analytics, risk, compliance, and operational data initiatives.

  • Work with market data providers and financial reference data feeds to ensure data consistency and accuracy.

Preferred Skills

  • Financial Services, Asset Management, Wealth Management, or Banking industry experience.

  • Exposure to enterprise data modernization and cloud migration initiatives.

  • Experience with Azure, AWS, Databricks, Spark, and distributed data environments.

  • Strong stakeholder management, communication, and documentation skills.

  • Ability to function as a trusted SME within enterprise data programs and cross-functional initiatives.

Smart-iPlace logo

About Smart-iPlace

Sourced by ZipRecruiter

SMART-iPLACE provides innovative staffing and consulting solutions that help our clients achieve their business objectives. We can understand and support all areas of your IT systems from back-end infrastructure to front-end personal productivity. Our goal is create innovative IT solutions that enable your business to be more agile and competitive.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Irving, TX, US

Year founded

2021

Social media

Facebook

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