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Data Management Manager Jobs in Connecticut (NOW HIRING)

The leader is also tasked with the management and long-term prioritization of the business's overall data priorities needs and opportunities. The role will encompass building and sharing our North ...

The leader is also tasked with the management and long-term prioritization of the business's overall data priorities needs and opportunities. The role will encompass building and sharing our North ...

Manage and develop a team of data scientists, balancing team development, delivery priorities, and ... long-term capability building. * Monitor solution performance, user feedback, data quality, model ...

About Bridgewater Bridgewater Associates is a premier asset management firm, focused on delivering ... About Your Role As a Data Associate, you will help us achieve our mission by owning and deeply ...

Data Architect

New Haven, CT · On-site

$64 - $82.50/hr

Design scalable, secure, and governed data solutions across SAP S/4HANA, Veeva CRM, Veeva Vault, MDM, ODS, and other enterprise platforms * Develop enterprise data models, integration patterns, and ...

Showing results 41-60

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:

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.

DATA & Analytics Program Manager

Compunnel

Hartford, CT • On-site

Contractor

Posted 5 days ago


Job description

Job Summary
We are seeking a seasoned Data & Analytics Program Manager to lead large-scale enterprise data transformation and modernization initiatives. This role will drive end-to-end modernization from legacy platforms such as SSIS and SQL Server to modern cloud-based architectures such as Snowflake, while serving as the primary interface between business stakeholders, data engineering teams, and leadership. The ideal candidate will bring strong program management, data modernization, stakeholder management, governance, and technical oversight experience across complex enterprise programs.
Key Responsibilities
• Lead end-to-end delivery of data modernization programs across discovery, design, migration, validation, and stabilization.
• Drive execution across multiple pods and cross-functional teams, including onshore and offshore resources.
• Ensure adherence to program timelines, quality benchmarks, and cost objectives.
• Act as a technical mentor and provide guidance to teams across the program.
• Drive strategic conversations with customers and business stakeholders.
• Provide strong oversight of data architecture, migration approaches, and target-state designs.
• Drive transformation from legacy ETL platforms such as SSIS to modern cloud-based data platforms such as Snowflake.
• Ensure data quality, validation, reconciliation, and downstream system alignment throughout modernization initiatives.
• Act as the primary point of contact for business, client, and leadership stakeholders.
• Drive requirements alignment across business domains and downstream systems.
• Lead governance forums, executive program reviews, weekly status reviews, budgeting, and management-of-change activities.
• Establish strong program governance, reporting cadence, and escalation management processes.
• Identify and mitigate risks related to data migration, downstream integration, data quality, and performance.
• Ensure compliance with regulatory, audit, and data governance standards.
• Act as the data practice anchor for the account.
• Support solutioning, estimation, and SOW development for supplemental data programs.
• Drive standardization, best practices, and continuous improvement across data and analytics initiatives.
• Support the transition of programs into Managed Services models.
• Provide technical and strategic oversight for AI-driven data engineering and automation initiatives.
Required Qualifications
• 15+ years of experience across Data Analytics, Data Engineering, and Program Management.
• Proven experience managing large-scale data modernization and migration programs.
• Strong program management experience, preferably managing multimillion-dollar programs.
• Strong experience in the Insurance domain, with Property & Casualty (P&C) preferred.
• Strong understanding of data modernization and migration frameworks.
• Strong understanding of Snowflake data warehousing, performance optimization, and cost optimization.
• Strong understanding of legacy ETL platforms, particularly SSIS.
• Experience with data migration frameworks and tools.
• Exposure to cloud platforms such as Azure and AWS.
• Exposure to ELT/ETL orchestration, data pipelines, and CI/CD.
• Exposure to data quality, governance, and validation frameworks.
• Experience transitioning programs into Managed Services models.
• Proven ability to manage distributed onshore and offshore teams.
• Excellent stakeholder management and executive communication skills.
• Strong understanding of data architecture, migration approaches, and target-state design.
• Ability to manage risks associated with data migration, downstream integration, data quality, and performance.
• Strong understanding of regulatory, audit, and data governance requirements.
Preferred Qualifications
• Experience with AI-driven data engineering and automation frameworks.
• Experience managing large-scale enterprise data transformation programs within Insurance/P&C environments.
• Experience supporting solutioning, estimation, and Statement of Work (SOW) development.
• Experience acting as a data practice anchor or technical leader for enterprise accounts.
• Strong experience driving standardization, best practices, and continuous improvement.
• Experience with cloud-based modernization initiatives involving Snowflake and Azure/AWS.

Compunnel logo

About Compunnel

Sourced by ZipRecruiter

Compunnel is a well-known company located in Plainsboro, NJ, US, recognized in the industry of IT Services and Solutions. Established in 1989, Compunnel offers a suite of services that help businesses integrate technology efficiently into their operations, a recognizable name in the IT solutions sphere for over three decades. The company’s service portfolio includes Digital Transformation, Business Intelligence, Cloud Services, Cybersecurity, and Application Modern Services, among others. Guided by its mission "to innovate with industry-leading digital solutions and disruptive tech strategies for unimagining business growth," the company underlines its commitment to offering out-of-the-box solutions to its clients. Remarkable achievements of the company include serving more than 30 Fortune 500 companies and providing job opportunities for over 50,000 individuals.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

1994

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