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Data Management Jobs in New York (NOW HIRING)

Data Management Job Summary The Data Management Lead is responsible for defining and executing the organization's data management strategy, ensuring data quality, governance, security, and compliance.

SKILLS & EXPERIENCE 3-5 years' experience in data management, data engineering, data operations and/or business intelligence 1-3 years' experience in an advertising agency environment (analytics, ad ...

SKILLS & EXPERIENCE 3-5 years' experience in data management, data engineering, data operations and/or business intelligence 1-3 years' experience in an advertising agency environment (analytics, ad ...

Data Management Job Summary The Data Management Lead is responsible for defining and executing the organization's data management strategy, ensuring data quality, governance, security, and compliance.

Position Summary As Director, Data Management & Visualization, you will be pivotal in managing the E2E data and visualization process including collection, aggregation, QA, processing and ...

Data Management Analyst

Woodbridge, NJ · Hybrid

$75K - $85K/yr

Bessemer Trust is recruiting a Data Management Analyst to join the Data and Tax Operations department. The preferred candidate will have leadership and financial industry experience. Responsibilities:

As Director, Data Management Office, you will play a critical role in transforming strategic data priorities into measurable business outcomes. In this highly visible leadership role, you will drive ...

New

Senior Manager, Data Management

Nutley, NJ · On-site

$134K - $176K/yr

Provide Data Management inputs during study protocol development; contribute to the enhancement of a clinical library. * Participate in the development/maintenance of DM SOPs, Standard Working ...

Senior Manager, Data Management

Nutley, NJ · Hybrid

$134K - $176K/yr

Provide Data Management inputs during study protocol development; contribute to the enhancement of a clinical library. * Participate in the development/maintenance of DM SOPs, Standard Working ...

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Showing results 1-20

Data Management information

See New York salary details

$33.9K

$106.3K

$188.2K

How much do data management jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data management in New York is $106,280.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,200.00 and $137,300.00 per year, depending on experience, location, and employer.

What is data management?

Data management is the process of collecting, storing, organizing, and maintaining data in a secure and efficient manner. It ensures that data is accurate, available, and accessible to authorized users when needed. Good data management practices help organizations make informed decisions, comply with regulations, and protect sensitive information. It often involves the use of specialized software, policies, and procedures to handle data throughout its lifecycle.

What is a data management analyst?

A data management analyst is responsible for maintaining databases. In this position, your responsibilities are to keep an eye on how secure the data is and look for ways to increase user efficiency when accessing it. For example, you might move the database to an online cloud-based server to free up system resources. A data management analyst has to have a solid grasp of network technology, in addition to familiarity with database and spreadsheet software, to perform the duties of the job.

What are the key skills and qualifications needed to thrive in data management, and why are they important?

To excel in Data Management, you need a strong background in data analysis, database design, and data governance, often supported by a degree in computer science or information systems. Familiarity with database management systems (like SQL, Oracle), data visualization tools, and certifications such as Certified Data Management Professional (CDMP) are highly valued. Attention to detail, problem-solving, and strong organizational skills help professionals ensure data integrity and facilitate effective collaboration. These competencies are crucial for maintaining accurate, secure, and accessible data, which underpins informed business decision-making.

What are some common challenges faced by data management professionals in ensuring data quality and consistency across departments?

Data Management professionals often encounter challenges such as inconsistent data entry practices, siloed information systems, and varying data standards across departments. Addressing these issues typically involves implementing data governance frameworks, standardizing processes, and fostering collaboration between teams to ensure data integrity. Regular audits, cross-functional meetings, and the use of data quality tools are common strategies employed to maintain high standards and support organizational decision-making.

What is the difference between Data Management vs Data Analyst?

AspectData ManagementData Analyst
Primary FocusOrganizing, storing, and maintaining data integrityAnalyzing data to extract insights and support decision-making
Skills & CertificationsDatabase management, SQL, data governance certificationsStatistical analysis, Excel, data visualization tools
Work EnvironmentData warehouses, IT departments, enterprise systemsBusiness units, analytics teams, consulting firms
Industry UsageUsed across industries for data infrastructureUsed for reporting, forecasting, and strategic analysis

While Data Management focuses on maintaining and organizing data infrastructure, Data Analysts interpret this data to generate insights. Both roles are essential for effective data-driven decision-making but serve different functions within an organization.

What is data management as a job?

Data management as a job involves organizing, storing, and maintaining data to ensure its accuracy, security, and accessibility. Professionals in this field often work with database systems, data governance policies, and data quality tools, requiring skills in data analysis, SQL, and sometimes certifications like CDMP or DAMA-DMBOK. The role supports organizations in making informed decisions and complying with data regulations.

What skills are needed for data management jobs?

Data management jobs require strong analytical skills, proficiency in database tools like SQL, data modeling, and knowledge of data governance and security practices. Familiarity with data management software, attention to detail, and the ability to organize large datasets are also essential. Certifications such as Certified Data Management Professional (CDMP) can enhance job prospects.

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

The most popular types of Data Management jobs in New York are:

What cities in New York are hiring for Data Management jobs?

Cities in New York with the most Data Management job openings:

Infographic showing various Data Management job openings in New York as of August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Hybrid job distribution, with an average salary of $106,280 per year, or $51.1 per hour.

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 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. 

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.


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.