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Data Management Manager Jobs in Connecticut (NOW HIRING)

Amphenol TCS

Data Intelligence Manager

Hamden, CT · On-site

Data Intelligence Manager Location: Hamden, CT Amphenol High Speed Products Group is the market ... Own the effectiveness of collaboration and information management platforms, including SharePoint ...

Amphenol Corporation

Data Intelligence Manager

Hamden, CT · On-site

$120 - $180/hr

Data Intelligence Manager Location: Hamden, CT Amphenol High Speed Products Group is the market ... Own the effectiveness of collaboration and information management platforms, including SharePoint ...

Amphenol TCS

Data Intelligence Manager

Hamden, CT · On-site

Data Intelligence Manager Location: Hamden, CT Amphenol High Speed Products Group is the market ... Own the effectiveness of collaboration and information management platforms, including SharePoint ...

Amphenol TCS

Data Intelligence Manager

Hamden, CT · On-site

Data Intelligence Manager Location: Hamden, CT Amphenol High Speed Products Group is the market ... Own the effectiveness of collaboration and information management platforms, including SharePoint ...

Booking Holdings, Inc.

Data Sharing Manager

Norwalk, CT · On-site

$133K - $163K/yr

Execute data sharing use case management to ensure completeness, consistency & timely completion of the end-to-end processes * Serve as a strategic liaison and point of contact for functional SMEs ...

Priceline.com LLC

Data Sharing Manager

Norwalk, CT · On-site

$133.70 - $163.40/hr

Execute data sharing use case management to ensure completeness, consistency & timely completion of the end-to-end processes* Serve as a strategic liaison and point of contact for functional SMEs and ...

Booking Holdings

Data Sharing Manager

Norwalk, CT · Hybrid

$133K - $163K/yr

Execute data sharing use case management to ensure completeness, consistency & timely completion of the end-to-end processes * Serve as a strategic liaison and point of contact for functional SMEs ...

Chubb

Head of Data Products, PRS

Simsbury, CT · On-site

$224K - $314K/yr

Advance data governance and master/reference data management as a strategic discipline. * Implement strategies to monitor the effectiveness of data engineering. * Mentor/Train Engineers within the ...

Chubb

Head of Data Products, PRS

Simsbury, CT · On-site

Advance data governance and master/reference data management as a strategic discipline. * Implement strategies to monitor the effectiveness of data engineering. * Mentor/Train Engineers within the ...

USM

Data Architect

Windsor, CT · On-site

$55 - $60/hr

Align solutions to roadmaps for existing data mart and data management solutions across multiple ... business lines. Contribute to data strategies for the migration of legacy applications. Develop ...

Newcastle

Data Governance Manager

Cobalt, CT · Hybrid

... Management disciplines.You'llbring experience supporting large-scale data transformation and platform modernisation programmes, with a proven ability toestablishand embed Data Ownership and Data ...

Collabera

Data Analyst

Hartford, CT · On-site

Reviews, enhances and tests data management processes. Performs data and process analysis. Ability to write SQL code in multiple OS platforms & software. Qualifications Qualifications: Competent in ...

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All JobsData Management JobsData Management Manager JobsData Management Manager Jobs in Connecticut

Data Management Manager information

See Connecticut salary details

$29.5K

$92.4K

$163.6K

How much do data management manager jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data management manager in Connecticut is $92,412.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,800.00 and $119,400.00 per year, depending on experience, location, and employer.

What does a data management manager do?

A Data Management Manager oversees the collection, storage, and organization of data within an organization. They ensure data accuracy, security, and accessibility while developing policies and procedures for data management. Their role often involves leading a team, ensuring compliance with data regulations, and collaborating across departments to support business goals. Effective data management is crucial for making informed decisions and maintaining operational efficiency.

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

To thrive as a Data Management Manager, you need expertise in data governance, data quality management, and a solid understanding of database systems, often supported by a bachelor's or master's degree in information systems or a related field. Familiarity with tools such as SQL, data warehousing platforms, data visualization software, and certifications like CDMP (Certified Data Management Professional) are highly valued. Leadership, analytical thinking, and strong communication skills are essential for effectively collaborating with stakeholders and guiding data teams. These skills ensure data integrity, compliance, and the ability to leverage data for strategic business decisions.

What are some common challenges faced by data management managers, and how can they be addressed?

Data Management Managers often encounter challenges such as ensuring data quality, integrating data from multiple sources, and maintaining compliance with data privacy regulations. To address these, it's important to implement robust data governance frameworks, foster collaboration between IT and business units, and invest in ongoing staff training. Effective communication and clear documentation of data standards also help in minimizing misunderstandings and maintaining data integrity across the organization.

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

AspectData Management ManagerData Analyst
Required CredentialsBachelor's or Master's in Data Science, Information Systems, or related fields; certifications like CDMPBachelor's in Statistics, Data Science, or related fields; certifications like Microsoft Data Analyst
Work EnvironmentOversees data teams, manages data governance, and ensures data quality in corporate settingsAnalyzes data sets, creates reports, and provides insights primarily through data visualization tools
Employer & Industry UsageUsed in industries with large data needs like finance, healthcare, and techCommon across marketing, finance, and consulting firms for data-driven decision making

The Data Management Manager focuses on overseeing data governance, quality, and strategy, while the Data Analyst primarily interprets data to generate insights. Both roles require strong analytical skills, but their responsibilities and focus areas differ significantly.

Are data management managers in demand?

Data management managers are in high demand due to the increasing importance of data governance, quality, and security across industries. Organizations seek professionals skilled in data strategy, tools like SQL and data warehouses, and certifications such as CDMP to manage large data sets effectively.

What degree do you need to be a data management manager?

A data management manager typically needs a bachelor's degree in fields such as information technology, computer science, data science, or related areas. Many employers prefer candidates with a master's degree or professional certifications in data management or database administration. Strong analytical skills and experience with data tools like SQL, data governance, and data quality are also important.

What is the role of a data management manager?

A data management manager oversees the organization, storage, and integrity of data within an organization. They develop data policies, ensure data quality, and implement systems using tools like databases and data governance frameworks. Strong analytical skills and knowledge of data management software are essential for this role.

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

The most popular types of Data Management jobs in Connecticut are:

What cities in Connecticut are hiring for Data Management Manager jobs?

Cities in Connecticut with the most Data Management Manager job openings:

Data Management Manager jobs near you
Infographic showing various Data Management Manager job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $92,412 per year, or $44.4 per hour.

Director, Product Management - Data Intelligence Foundation (Bridgeport)

Relativity

Bridgeport, CT • On-site

Full-time

Posted 19 days ago

Job description

Remote/Hybrid

Job Overview

Relativity is a leading legal data intelligence company building AI technology that helps organizations organize data, discover the truth, and act on it with confidence. Over two decades, the company has built the most trusted platform in legal data, earning deep relationships with the world's leading law firms, corporations, and government agencies, and managing petabytes of the most sensitive data in existence. That foundation is now being turned into something larger: The AI platform for legal data intelligence. The Relativity Intelligence Model is the architecture for that transformation. At its base is the Foundational Layer (Relativity's shared data platform serving all AI applications). Five primitives give AI agents the structure, meaning, and retrieval capability they need to reason over legal data at scale: Files, Ontology, Data Capabilities, Knowledge/Metadata, and Query Plane. Relativity's Data Intelligence Foundation engineering org is building this layer. The product leadership that shapes it, drives adoption across Relativity's product teams, and builds the PM discipline to own it long-term. That's this role. The Director of Product Management, Data Intelligence Foundation is one of the highest-leverage product roles at Relativity. The Foundational Layer is what makes every Relativity aiR application smarter, every agent more reliable, and every Relativity product team faster. Getting it right matters enormously.

Job Description and RequirementsWhat you’ll ownThe full PM layer across multiple engineering orgs

  • Files / Natives: The storage primitive for legal documents, images, and native files. You define the substrate that makes immutable legal data consistently accessible across every product, partner integration, and AI workflow, with the SLAs, access contracts, and API surface that teams can build on with confidence. The underlying data primitives are the foundation; the degree to which the retrieval layer (Query Plane) matches this structure determines how easily the organization can navigate between slow data and fast data use cases.

  • Ontology / Relationship: The semantic layer of the Relativity Intelligence Model. Ontology encodes meaning: what kinds of things exist in legal data and how they relate, so that AI agents can reason, not just query. You define what Relativity's Ontology becomes: the entities, relationships, and contracts that give every Skill and Agent a shared vocabulary for legal data.

  • Data Capabilities: Reporting, Audit, and internal data infrastructure. The operational backbone that makes the platform observable, auditable, and explainable. These are non-negotiable properties in legal data intelligence use cases.

  • Knowledge / Metadata: The core data model that every product team, customer, and integration partner works with. A unified materialized document layer, consistent across all workspaces, is the mandate. Your roadmap evolves this surface to serve AI application teams as first-class consumers alongside the users who have relied on it for years.

  • Query Plane: One of the most performance-sensitive and strategically important services in the product. The mandate is a unified retrieval pillar with a rich materialized document layer: standardized ingestion APIs independent of data source, hybrid retrieval (lexical + vector) with reranking, chunking as a managed capability, and tiered storage (cold/warm/hot).

Minimum qualifications

  • 12+ years in product management; 5+ years leading platform or infrastructure PM organizations

  • Deep fluency with data platform primitives, including storage systems, metadata layers, knowledge graphs, query engines, or equivalent. You can design an

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