1

Data Manager Jobs in Springfield, MA (NOW HIRING)

... data management environments • Leveraging economics, business/systems analysis, and quality ... assurance • Manipulating large, complex data sets • Documenting processes and modelling ...

Data Scientist

Windsor, CT · On-site

$117K - $146K/yr

Work independently and collaboratively on analytical, programming, modelling, and data management activities * Map out and document problem statements, project requirements and associated workflows ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Data Engineer - Manager

Hartford, CT · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary The Opportunity As a Data Engineer - Manager, you will play a pivotal role in transforming raw data ...

... M counselling, Product Engineering, Business Intelligence, Data Management, SOA, BPM, Data ... Warehousing, SharePoint Consulting and IT Infrastructure. Our other offerings include modified ...

next page

Showing results 1-20

Data Manager information

See Springfield, MA salary details

$30.9K

$96.8K

$171.4K

How much do data manager jobs pay per year?

As of Jun 19, 2026, the average yearly pay for data manager in Springfield, MA is $96,805.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,800.00 and $125,100.00 per year, depending on experience, location, and employer.

What is the salary of a data manager?

The salary of a data manager typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Professionals with advanced skills in database management, data analysis, and certifications like CDMP or CBIP tend to earn higher salaries.

What does a data manager work?

A data manager is responsible for organizing, maintaining, and ensuring the accuracy and security of data within an organization. They often oversee data collection processes, implement data management systems, and use tools like databases and data analysis software. Strong attention to detail and knowledge of data governance are essential for this role.

What is a Data Manager?

A Data Manager is a professional responsible for overseeing the collection, storage, organization, and safeguarding of data within an organization. They ensure that data is accurate, accessible, and secure, often working with databases and data management systems. Data Managers also develop data policies, maintain data quality, and support teams in using data effectively for decision-making. Their role is crucial in industries where large volumes of information are handled, such as healthcare, finance, and research.

What is the difference between Data Manager vs Data Analyst?

AspectData ManagerData Analyst
Required CredentialsBachelor's degree in IT, Computer Science, or related field; certifications like CDMP or DAMA often preferredBachelor's degree in Statistics, Mathematics, or related field; certifications like CAP or Microsoft Data Analyst are common
Work EnvironmentTypically manages data systems, databases, and teams; works in IT or data departmentsAnalyzes data sets, creates reports, and visualizations; often works in business or analytics teams
Employer & Industry UsageUsed across industries like healthcare, finance, and tech for data governance and managementCommon in marketing, finance, and consulting for insights and decision-making

While both roles involve working with data, Data Managers focus on overseeing data systems and ensuring data quality, whereas Data Analysts interpret data to generate insights. Understanding these differences helps in choosing the right career path or job search focus.

What Is a Data Manager?

A data manager is responsible for creating and managing databases that meet the specific needs of a company or organization. As a data manager, your job duties include assessing customer database requirements, modifying the structure of existing databases, and handling the backup and recovery of older systems. You should have experience working with many database system varieties and large volumes of customer records. You can find data manager positions in a wide range of industries.

What are the key skills and qualifications needed to thrive as a Data Manager, and why are they important?

To thrive as a Data Manager, you need expertise in data management principles, database administration, and data governance, often supported by a bachelor's degree in computer science or a related field. Familiarity with SQL, data warehousing tools, data visualization platforms, and certifications like CDMP or DAMA are typically required. Strong analytical thinking, attention to detail, and effective communication are essential soft skills for ensuring data integrity and collaborating with stakeholders. These skills and qualifications are crucial for maintaining secure, accurate data systems and supporting informed business decisions.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as data visualization, SQL, and statistical analysis, often through online courses or certifications, regardless of age.

How does a Data Manager typically collaborate with other departments to ensure data integrity?

As a Data Manager, collaboration with various departments—such as IT, analytics, and operations—is essential to maintain data integrity and consistency. You’ll regularly coordinate with these teams to establish data governance protocols, resolve discrepancies, and ensure that data collection and storage meet organizational standards. Open communication and regular meetings help address data quality issues and align data management practices across the organization. This cross-functional work not only supports accurate reporting but also drives better decision-making company-wide.

What is the role of a data manager?

A data manager is responsible for overseeing the collection, storage, organization, and maintenance of data within an organization. They ensure data quality, security, and accessibility, often using database management tools and following data governance standards. Their role supports data analysis and decision-making processes.
What are the most commonly searched types of Data jobs in Springfield, MA? The most popular types of Data jobs in Springfield, MA are:
What job categories do people searching Data Manager jobs in Springfield, MA look for? The top searched job categories for Data Manager jobs in Springfield, MA are:
What cities near Springfield, MA are hiring for Data Manager jobs? Cities near Springfield, MA with the most Data Manager job openings:
Infographic showing various Data Manager job openings in Springfield, MA as of June 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $96,805 per year, or $46.5 per hour.

Data Scientist

STI

Hartford, CT • On-site

Full-time

Posted 8 hours ago


Job description

Experience Required for This Role
Data Research & Analysis - at least 3 years of measurable experience in the following:
• Analyzing data and customer metrics to fulfill specific business goals
• Using data to help teams improve functionality and operations
• Developing and applying data models to improve the collection and analysis of data
• Bridging the divide between technical and business teams through data
• Communicating data analysis to various levels of stakeholders through visualizations
• Data cleansing, optimizing, and ETL
• Developing and analyzing user surveys
• Expertise in the principles and operating procedures of a specific industry
• Performing competitor research to help improve products and services
• Researching latest market trends and implementing knowledge
• Creating dashboards and reports that are easy to understand for non-technical users
• Organizing and storing data and queries for easy access in future work projects
• Documenting data collection and analysis procedures
• Organizing focus groups and feedback loops to establish data collection
• Using data to isolate problems and develop solutions
• Discovering and establishing proper KPIs to help track success
• Preparing and executing ROI analysis
• Establishing testing of products/services based off data analysis
• Identifying and understanding issues through forecasting, gap analysis, quantitative reporting, research, and statistical analysis
• Providing insights and recommending changes based on data findings

Knowledge, Skills, and Ability
Data Science
• Experience with machine learning, AI, and cognitive service engine models
• Experience with programming languages like SQL, Python, R, and Scala
• Using analytics software and platforms (GA, GTM, SPSS, Excel, Microsoft Office Suite)
• Experience using business intelligence tools like Tableau or Power BI
• Experience in data collection from on-prem and cloud platforms like Microsoft, Azure, and Salesforce
• Engaging in data experiments to provide cross-persona or enterprise analysis
• Leveraging statistical analysis and algebra
• Improving research or data management environments
• Leveraging economics, business/systems analysis, and quality assurance
• Manipulating large, complex data sets
• Documenting processes and modelling

Performance in Complex Situations
• Communication and collaboration with cross-functional teams and state-wide partners
• Clearing challenges for team members
• Comfort in blazing a path through an ambiguous work environment
• Judgement fitting to the ever-changing environment
• Ability to juggle multiple project workstreams

Service Design Team Building
• Supporting teammates' skills and behavior development and delivery
• Advocating data strategies both internally and externally
• A balance between strong domain expertise and flexibility
• Prioritization, organization, and triage in an independent environment
• Encouraging of an interactive, cooperative, collaborative, and customer-focused work environment
• Ability to maintain strict confidentiality
• Judgement in dealing effectively and diplomatically with all levels of government staff

Preferred Skills & Qualifications
Other Desirable Skills
• Deep domain knowledge for a particular industry - especially Health, Business, or Education
• Bachelor's degree in computer science, business, IT, management, administration, economics, or information science
• 2 years of user research and feedback analysis
• 2 years of data governance and working within data security groups
• 1 year of API development
• 1 year of marketing experience, supported through metrics
• 1 year of project management experience
• 1 year of experience with customer relationship management platforms such as Salesforce
• 1 year of experience with web content management platforms such as Sitecore