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Reference Data Management Jobs (NOW HIRING)

SLK America Inc.

Data analyst

Wilmington, DE · On-site

Data Analyst (Reference Data Management - RDM) Location: Wilmington, DE (Onsite) Employment Type: Full-Time Position Summary We are seeking a highly analytical and detail-oriented Data Analyst with ...

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$31K

$97.1K

$172K

How much do reference data management jobs pay per year?

As of Aug 12, 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 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 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 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.

More about Reference Data Management jobs
What cities are hiring for Reference Data Management jobs? Cities with the most Reference Data Management job openings:
What states have the most Reference Data Management jobs? States with the most job openings for Reference Data Management jobs include:
What job categories do people searching Reference Data Management jobs look for? The top searched job categories for Reference Data Management jobs are:
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, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $97,145 per year, or $46.7 per hour.

Senior Product Lead - MDM, Reference Data & Customer 360

First Citizens Bank

Raleigh, NC

$83K - $105K/yr

Full-time

Re-posted 17 days ago

First Citizens Bank rating

7.4

Company rating: 7.4 out of 10

Based on 106 frontline employees who took The Breakroom Quiz

109th of 171 rated banks

Job description

Overview

We are seeking a highly experienced Senior Product Lead / Product Owner specializing in Master Data Management (MDM), Reference Data, and Customer 360 (C360) to drive enterprise-wide data initiatives.

This role focuses on defining MDM strategy, product roadmap, use cases, and data governance frameworks, while enabling a unified, high-quality view of customer and reference data across the organization. The ideal candidate will have strong experience with MDM platforms, Salesforce, Collibra, and Reference 360, and will work closely with business, data, and technology teams to deliver scalable, governed data solutions.


Responsibilities

Business Prioritization, Use Case Inventory & Roadmap

  • Drive MDM/C360 requirements and design aligned with business goals.
  • Establish domain-driven data strategies across Customer, Party, and Reference Data.
  • Lead roadmap prioritization based on business value, operational needs, and identified data quality gaps in the MDM platform based on systems of record.
  • Lead conversations with business stakeholders to identify and quantify opportunities.
  • Align strategy across MDM, C360 consumers (batch, real-time, and analytics use cases), and governance initiatives.
  • Evaluate vendor and home-grown solutions for Reference Data and Customer 360.

Business Analysis & Use Case Development

  • Gather and document business requirements and MDM use cases across C360, Reference 360, and Data Governance.
  • Translate business needs into functional and technical specifications.
  • Define Customer 360 use cases, including:
  • Single Customer View
  • Cross-channel analytics
  • Customer Onboarding & KYC
  • Duplicate management and match-merge
  • Create process and source-to-target mappings, data flows, process models, MDM data model documentation, and business glossaries.

Customer 360 (C360) & Stakeholder Outreach

  • Support and drive Customer 360 implementation efforts.
  • Identify and document MDM consumption use cases across business functions.
  • Collaborate with business stakeholders to enable trusted and accurate customer data.

Data Governance

  • Define data ownership and stewardship models.
  • Establish and maintain business glossary and metadata management standards.
  • Document data lineage and support data cataloging efforts.
  • Ensure compliance with data policies, standards, and regulatory requirements.

Reference Data Management (Ref360)

  • Define and manage reference data domains using Reference 360.
  • Standardize code sets, hierarchies, and cross-system mappings.
  • Ensure consistency of reference data across all enterprise systems.

Data Quality & Stewardship

  • Define and refine data quality rules across MDM and reference data domains.
  • Drive resolution of data issues through governance workflows.
  • Work with stewardship teams to validate data corrections and improve data completeness and consistency.

Data Platform & Snowflake Integration

  • Collaborate with engineering teams to review data models for MDM/C360.
  • Review and understand data integration pipelines.
  • Ensure optimized data ingestion, processing, and consumption layers.
  • Support analytics and reporting use cases built on the data platform.

Stakeholder Management

  • Act as a bridge between business users, data engineers, and governance teams.
  • Lead workshops, demos, and requirements sessions.
  • Communicate complex data concepts clearly to non-technical stakeholders.

Testing & Validation

  • Define test strategies for data ingestion, mastering, and data flows.
  • Validate initial load and incremental processing, match & merge outcomes, and data synchronization.
  • Support reconciliation between source systems, MDM, and downstream consumers.

Qualifications

Bachelor's Degree and 6 years of experience in Data Management, Data Analytics OR High School Diploma or GED and 10 years of experience in Data Management, Data Analytics

Core MDM Expertise

  • 15+ years of experience in Business Analysis, Data Management, or MDM.
  • Strong experience with Customer/Party MDM (Individual & Non-Individual), including match & merge rules (deterministic and probabilistic) and golden record creation.
  • Proven background in the Banking or Financial Services domain.

Tools & Platforms

  • Required: MDM platforms such as Informatica, Reltio, or IBM MDM.
  • Strong SQL proficiency (required).
  • Reference Data Management (Ref360) and Collibra for Data Governance, cataloging, and lineage.
  • Snowflake (data warehousing and cloud data platform) — nice to have.

Data & Analytics

  • Strong understanding of data modeling (logical & physical), data quality frameworks, and data lineage and metadata management.
  • Experience in supporting or building enterprise data warehouses.
  • Experience with Customer 360 analytics and reporting.

Business & Domain Knowledge

  • Banking, Financial Services, or enterprise domain experience (preferred).
  • Familiarity with customer data domains: Party, Address, Contact, and Hierarchy.
  • Knowledge of KYC and Compliance frameworks (preferred).

Soft Skills

  • Strong stakeholder engagement and relationship management.
  • Excellent communication and documentation abilities.
  • Ability to drive enterprise-scale initiatives independently.

PREFERRED QUALIFICATIONS

  • Experience with enterprise data transformation programs.
  • Exposure to cloud ecosystems such as Azure or AWS.
  • Exposure to cloud ecosystems such as Azure or AWS.

#LI-XG1

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

Qualifications:

Bachelor's Degree and 6 years of experience in Data Management, Data Analytics OR High School Diploma or GED and 10 years of experience in Data Management, Data Analytics

Core MDM Expertise

  • 15+ years of experience in Business Analysis, Data Management, or MDM.
  • Strong experience with Customer/Party MDM (Individual & Non-Individual), including match & merge rules (deterministic and probabilistic) and golden record creation.
  • Proven background in the Banking or Financial Services domain.

Tools & Platforms

  • Required: MDM platforms such as Informatica, Reltio, or IBM MDM.
  • Strong SQL proficiency (required).
  • Reference Data Management (Ref360) and Collibra for Data Governance, cataloging, and lineage.
  • Snowflake (data warehousing and cloud data platform) — nice to have.

Data & Analytics

  • Strong understanding of data modeling (logical & physical), data quality frameworks, and data lineage and metadata management.
  • Experience in supporting or building enterprise data warehouses.
  • Experience with Customer 360 analytics and reporting.

Business & Domain Knowledge

  • Banking, Financial Services, or enterprise domain experience (preferred).
  • Familiarity with customer data domains: Party, Address, Contact, and Hierarchy.
  • Knowledge of KYC and Compliance frameworks (preferred).

Soft Skills

  • Strong stakeholder engagement and relationship management.
  • Excellent communication and documentation abilities.
  • Ability to drive enterprise-scale initiatives independently.

PREFERRED QUALIFICATIONS

  • Experience with enterprise data transformation programs.
  • Exposure to cloud ecosystems such as Azure or AWS.
  • Exposure to cloud ecosystems such as Azure or AWS.

#LI-XG1

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

Education:UNAVAILABLEEmployment Type: FULL_TIME

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