ZipRecruiter

Log In

1

Reference Data Management Jobs in New Jersey (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 ...

Bessemer Trust

Data Operations Associate

Woodbridge, NJ · On-site

$70K - $85K/yr

Hands-on experience with securities setup, account master maintenance, and securities reference data management. * Working knowledge of financial instruments across multiple asset classes, including ...

TiltEdge Solutions LLC

Data Engineer

Jersey City, NJ · On-site

$75/hr

Support Master Data Management (MDM) initiatives across security, account, client, and reference data domains. * Collaborate with data architects, business analysts, governance teams, and application ...

HTC Global Services

Data Architect

Iselin, NJ · On-site

$64.75 - $83.25/hr

Establish a unified data governance framework, standards, and policies across investment/portfolio, client/CRM, risk & compliance, and reference/master data domains. * Identify and eliminate data ...

HTC Global Services, Inc.

Data Architect

Woodbridge, NJ · On-site

$140 - $210/hr

Establish a unified data governance framework, standards, and policies across investment/portfolio, client/CRM, risk & compliance, and reference/master data domains. * Identify and eliminate data ...

next page

Showing results 1-20

All JobsReference Data Management JobsReference Data Management Jobs in New Jersey

Reference Data Management information

See New Jersey salary details

$31.5K

$98.6K

$174.6K

How much do reference data management jobs pay per year?

As of Aug 25, 2026, the average yearly pay for reference data management in New Jersey is $98,625.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $127,400.00 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.

What are popular job titles related to Reference Data Management jobs in New Jersey?

For Reference Data Management jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Reference Data Management jobs in New Jersey look for?

The top searched job categories for Reference Data Management jobs in New Jersey are:

What cities in New Jersey are hiring for Reference Data Management jobs?

Cities in New Jersey with the most Reference Data Management job openings:

Reference Data Management jobs near you
Infographic showing various Reference Data Management job openings in New Jersey as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $98,625 per year, or $47.4 per hour.

Data Management Manager

Solstice Advanced Materials, Inc.

Morris Plains, NJ • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago

Job description


As Data Management Manager at Solstice, you will lead the company's data management practice, including governance, quality, mastering, cataloging, and controlled distribution of enterprise data. You will own data policies, standards, stewardship models, and daily operations that keep core business data accurate, consistent, and trusted across systems.
Your success will materialize as data the business trusts and uses - measured through master data quality scores, reduction in duplicate or conflicting records, faster onboarding of new customers/vendors/materials, and fewer downstream incidents caused by bad master data.
You will report to our Director of IT, AI, Analytics & Automation who oversees our enterprise Data & AI strategy, Delivery and Platform Operations.
At Solstice, our people play a critical role in driving change across the company. You will help raise the data capability of the broader organization - coaching stewards and business users, fostering an inclusive and collaborative working style across functions, and building a culture where good data is treated as everyone's responsibility.
Qualifications
KEY RESPONSIBILITIES
Data Management Strategy & Operating Model
  • Align data management capabilities with business strategy; translate enterprise priorities into a prioritized roadmap and own the intake, prioritization, and delivery processes.
  • Guide the evaluation and optimization of data management tools and platforms to advance data capabilities and operational efficiency

Data Quality, Governance & Compliance
  • Operate data quality monitoring; track quality, usage, and KPIs and surface actionable insights to stakeholders.
  • Triage issues to the originating process and partner with process owners on upstream fixes - not downstream cleanup.
  • Support governance, privacy, and security controls; partner with risk, audit, and privacy teams on SOX, audit requests, and business continuity for critical data assets.

Business Partnership & Integration
  • Serve as the liaison between business domains and the technology teams that build data platforms - translating data needs into clear requirements at the boundary.
  • Partner with data engineering, architecture, BI, and analytics teams so mastered and reference data flow cleanly into downstream consumers.

Master Data Management
  • Own the MDM operating model across core domains - customer, vendor, material/product, etc. in partnership with domain owners.
  • Define master data standards, rules, hierarchies, golden records, and match/merge strategies. Own MDM workflows across Reltio and SAP with SLAs and audit trails.
  • Lead remediation of legacy master data debt and master data readiness for migrations, M&A etc.

Data Stewardship, Business Glossary & Reference Data
  • Stand up and run the stewardship community comprising data owners, domain stewards, operational stewards - with clear RACI, decision rights, and governance forums that resolve definitions, ownership, and rule changes.
  • Evangelize an enterprise business glossary and reference data for mastered domains to keep terms, definitions, and lineage consistent across the company.
  • Coach stewards and business users to raise data literacy and disciplined data behavior.

Vendor Management
  • Manage MDM, data quality, and reference data vendor and SI relationships, platform service agreements, and the operational budget; lead vendor evaluation and service transitions as the tooling landscape evolves.

YOU MUST HAVE
  • Bachelor's degree (or above) in Information Management, Business, Computer Science, MIS, Supply Chain, Finance, or a related field.
  • 5+ years in data management with deep, hands-on experience in Data Management including but not limited to Data Quality and Reliability, Data Governance, Master Data Management, Analytics assurance across cross functional domains.
  • Proven ability to influence laterally and vertically across a complex, cross-functional organization without relying on direct authority.
  • Strong ability to grasp data user needs and the governance, quality, compliance, and stewardship practices that improve enterprise data use.

WE VALUE
  • Demonstrated ownership of MDM operating models, hands-on experience with an MDM platform (Reltio or similar) and business glossary tool (Atlan or similar) and working knowledge of SAP and SFDC master data and the processes that consume it.
  • Experience leading master data programs through ERP migrations, system consolidations, M&A integrations, or new-market launches.
  • Proficiency in SQL for profiling, analysis, and validation of master data - sufficient to investigate quality issues independently.
  • Strong business-process orientation: ability to trace a data quality issue back to the originating process and partner with operators to fix it at the source.
  • Clear communicator able to lead steward forums, run executive scorecard reviews, and translate master data discipline into business outcomes.
  • Results-driven mindset with clear objectives tied to measurable outcomes - duplicate rate reduction, master data quality score improvement, time-to-onboard reductions, and fewer downstream incidents traceable to master data.
  • Familiarity with reference data management and business glossary tooling (e.g., Atlan, Collibra DQ etc.).
  • Understanding of data privacy regulations (GDPR, CCPA) and how they apply to mastered customer and employee data.
  • Experience standing up a stewardship community from scratch - defining roles, decision rights, and forums - and sustaining engagement over time.
  • Practical understanding of data governance frameworks, business glossaries, metadata management, and stewardship operating models (e.g., DAMA-DMBOK).
  • Vendor engagement management and service delivery experience for MDM, DQ, or reference data tooling.

COMPENSATION
The annual base salary range for this position is $139,921-$175,195. Please note that this salary information serves as a general guideline. Solstice considers various factors when extending an offer, including but not limited to the scope and responsibilities of the position, the candidate's work experience, education and training, key skills, as well as market and business considerations.
BENEFITS OF WORKING FOR SOLSTICE ADVANCED MATERIALS
In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Solstice Advanced Materials employees are eligible for a comprehensive benefits package. This package includes employer-subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays.
Solstice Advanced Materials is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status.
About Us
About Solstice Advanced Materials
Solstice Advanced Materials is a leading global specialty materials company that advances science for smarter outcomes. Solstice offers high-performance solutions that enable critical industries and applications, including refrigerants, semiconductor manufacturing, data center cooling, nuclear power, protective fibers, healthcare packaging and more. Solstice is recognized for developing next-generation materials through some of the industry's most renowned brands such as Solstice®, Genetron®, Aclar®, Spectra®, Fluka™, and Hydranal™. Partnering with over 3,000 customers across more than 120 countries and territories and supported by a robust portfolio of over 5,700 patents, Solstice's approximately 4,000 employees worldwide drive innovation in materials science. For more information, visit Advanced Materials.

Apply