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Data Management Manager Jobs in Enfield, CT (NOW HIRING)

TicketNetwork

Director of Data and AI

South Windsor, CT · On-site

This role serves as the single point of accountability for enterprise data management, governance, and AI-ensuring initiatives are strategically aligned, responsibly governed, and deliver measurable ...

Pwc

MDM PIM Manager

Hartford, CT · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data management focus on organising and maintaining data to enable accuracy and ...

Chubb

Head of Data Engineering, 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 ...

Chubb

Head of Data Engineering, 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 ...

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Showing results 21-40

All JobsData Management JobsData Management Manager JobsData Management Manager Jobs in Enfield, CT

Data Management Manager information

See Enfield, CT salary details

$31.4K

$98.6K

$174.5K

How much do data management manager jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data management manager in Enfield, CT is $98,553.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $127,300.00 per year, depending on experience, location, and employer.

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.

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 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 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 are the most commonly searched types of Data Management jobs in Enfield, CT? The most popular types of Data Management jobs in Enfield, CT are:
What cities near Enfield, CT are hiring for Data Management Manager jobs? Cities near Enfield, CT with the most Data Management Manager job openings:
Data Management Manager jobs near you
Infographic showing various Data Management Manager job openings in Enfield, CT as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $98,553 per year, or $47.4 per hour.

Data Engineering Manager

Advanced Bio-Logic Solutions Corp.

Hartford, CT • On-site

$115K - $138K/yr

Full-time

Posted 21 days ago

Job description

Location: Remote - Hartford, CT
Employment Type: Contingent Worker (Contract, W2)
Contract Length: 12 months (possible extension)
Compensation: Open Market Rate
Summary of the Role
Support the global distribution organization of a large biotech pharmaceutical leader by designing, developing, and implementing AI, GenAI, custom GPT, automation, and data-enabled solutions to enhance business processes and operational efficiency. Collaborate directly with business stakeholders to identify opportunities, build scalable digital solutions, and ensure compliance and scalability. This hands-on role is ideal for a technical developer who thrives in translating business challenges into practical technology solutions.
Key Responsibilities
  • Design, develop, test, and implement AI, GenAI, custom GPT, automation, and data-driven solutions
  • Partner with business stakeholders to understand operational challenges and identify digital automation opportunities
  • Build and configure AI tools, automation workflows, and data analytics solutions using various platforms and coding languages
  • Write or adapt code, scripts, and workflows as needed to solve business problems
  • Ensure digital and AI solutions are secure, scalable, compliant, and sustainable
  • Support data standardization, data transformation, and validation efforts
  • Translate business requirements into technical designs, prototypes, MVPs, and scalable solutions
  • Document technical designs, workflows, business rules, data logic, and support procedures
  • Test, validate, troubleshoot, and enhance digital or AI-enabled solutions
  • Communicate effectively with both technical and non-technical stakeholders

Required Experience & Skills
  • Hands-on experience developing AI, GenAI, automation, analytics, or digital workflow solutions
  • Ability to build or configure custom GPTs, AI assistants, chatbots, or GenAI-enabled solutions
  • Experience writing or adapting code, scripts, workflows, or automation logic
  • Working knowledge of Python, SQL, JavaScript, Power Platform, Power Automate, APIs, or similar tools
  • Experience with tools such as Microsoft Copilot Studio, Azure OpenAI, Power Apps, Databricks, Snowflake, Alteryx, Tableau, Power BI, SharePoint, Jira, or Confluence
  • Experience with embedding, semantic search, vector databases, and document intelligence
  • Understanding of prompt engineering, AI solution design, workflow automation, and data transformation
  • Proven ability to translate business requirements into technical solutions
  • Experience with structured and unstructured data processing, including extraction, cleansing, mapping, validation, and transformation
  • Strong business analysis, requirements gathering, process mapping, and documentation skills
  • Collaboration skills for working with business and technical teams
  • Ability to test, validate, troubleshoot, and enhance digital solutions
  • Strong documentation and communication skills

Preferred Qualifications
  • Experience in global supply chain, distribution, logistics, manufacturing, biotech, pharmaceutical, or regulated industries
  • Familiarity with software development practices, version control (GitHub), APIs, testing frameworks, CI/CD, or MLOps
  • Automation development for reporting, data reconciliation, exception management, workflow routing, or dashboards
  • Understanding of data governance, master data management, metadata, data stewardship, data lineage, and data quality frameworks
  • Familiarity with supply chain processes such as order management, inventory, warehouse operations, transportation, cold chain, serialization, trade compliance, or distribution planning
  • Experience with Agile, SAFe, product ownership, or digital product delivery
  • Knowledge of responsible AI, data privacy, cybersecurity, and compliance for enterprise AI solutions
  • Professional certifications such as AI, GenAI, Prompt Engineering, Microsoft Power Platform, Azure AI, Data Analytics, Automation/RPA, Agile/SAFe, APICS/CSCP/CPIM, Business Analysis, Cloud, Databricks, or Data Engineering

Top 3 Must Have Skills
1. Hands-on experience developing AI, GenAI, automation, analytics, or digital workflow solutions
2. Ability to build or configure custom GPTs, AI assistants, chatbots, prompt-based workflows, or similar GenAI solutions
3. Experience writing or adapting code, scripts, workflows, or automation logic
Day-to-Day Responsibilities
  • Translate business requirements into technical designs and scalable solutions
  • Work with structured and unstructured data for extraction, cleansing, mapping, validation, and transformation
  • Conduct requirements gathering, process mapping, documentation, and engage with stakeholders

Basic Qualifications
  • Master's degree and 3 to 5 years of relevant experience in Computer Science, Information Systems, Data Analytics, Engineering, Supply Chain, Digital Transformation, Automation, or a related field
  • Bachelor's degree and 5 to 7 years of relevant experience in Computer Science, Information Systems, Data Analytics, Engineering, Supply Chain, Digital Transformation, Automation, or a related field
  • Diploma and 9 to 11 years of relevant experience in Digital Solutions, Automation, Data Analytics, Software Development, Supply Chain Systems, or a related field.

This posting is for Contingent Worker, not an FTE
Advanced Bio-Logic Solutions logo

About Advanced Bio-Logic Solutions

Sourced by ZipRecruiter

At ABL, we combine our 15 years of staffing experience with our excellent relationships with top-rated companies to find you the perfect career fit. Our long-term client relationships allow us to find and facilitate rewarding engagements for our employees. You can count on ABL to deliver the right career match, whether you are looking for a consulting assignment or a permanent position. In the field of technology, there are many options that might interest a potential consultant. Whether you specialize in software development, design, analysis or support, we have technology career opportunities in the following areas:

Industry

Biotechnology research and development

Company size

1 - 10 Employees

Headquarters location

Westlake Village, CA, US

Year founded

2002

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