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Data Management Jobs in Maine (NOW HIRING)

Prior leadership, people management, or technical team leadership experience preferred. Technical Skills * Experience with Data Build Tool (DBT Core or Platform) to support data transformation ...

Data & Analytics The Senior Business Information Management Analyst (US) provides business technical leadership across a broad range of information management functions to support the various areas ...

Data Modeler

Freeport, ME · On-site

$56.75 - $73.50/hr

... management policies. • Engage with business analysts and product teams to understand data needs, ensuring models align with business requirements. • Partner with data engineers and architects to ...

Instruct, supervise, manage, and monitor site personnel ensuring data processing, review , analysis, submission of reports * Attending project meetings, schedule control, submit for permits for on ...

Showing results 21-40

Data Management information

See Maine salary details

$30K

$94.1K

$166.5K

How much do data management jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data management in Maine is $94,055.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,900.00 and $121,500.00 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 Maine?

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

What are popular job titles related to Data Management jobs in Maine?

For Data Management jobs in Maine, the most frequently searched job titles are:

What job categories do people searching Data Management jobs in Maine look for?

The top searched job categories for Data Management jobs in Maine are:

Infographic showing various Data Management job openings in Maine as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $94,055 per year, or $45.2 per hour.

Manager, Data Engineering

Unum Group

Portland, ME • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 14 days ago


Job description

Job Posting End Date: September 03
When you join the team at Unum, you become part of an organization committed to helping you thrive.
Here, we work to provide the employee benefits and service solutions that enable employees at our client companies to thrive throughout life's moments. And this starts with ensuring that every one of our team members enjoys opportunities to succeed both professionally and personally. To enable this, we provide:
  • Award-winning culture
  • Inclusion and diversity as a priority
  • Performance Based Incentive Plans
  • Competitive benefits package that includes: Health, Vision, Dental, Short & Long-Term Disability
  • Generous PTO (including paid time to volunteer!)
  • Up to 9.5% 401(k) employer contribution
  • Mental health support
  • Career advancement opportunities
  • Student loan repayment options
  • Tuition reimbursement
  • Flexible work environments

*All the benefits listed above are subject to the terms of their individual Plans.
And that's just the beginning...
With 10,000 employees helping more than 39 million people worldwide, every role at Unum is meaningful and impacts the lives of our customers. Whether you're directly supporting a growing family, or developing online tools to help navigate a difficult loss, customers are counting on the combined talents of our entire team. Help us help others, and join Team Unum today!
General Summary:
Our Finance Data Modernization team is seeking a Manager, Data Engineering. The Manager, Data Engineering leads a team responsible for designing and delivering scalable data pipelines, warehouse solutions, and governed data assets that support Finance analytics, operational reporting, and strategic business decision-making. This role partners closely with business and technology stakeholders to translate requirements into practical data solutions, drive consistency across a large portfolio of initiatives, and ensure smooth coordination from intake through implementation and operational support. The position provides technical leadership, advances modern data engineering practices, and champions the adoption of AI and agentic development processes to accelerate delivery while maintaining high standards for quality, governance, and business value. As a newly created leadership role, this position is critical to building consistency, scalability, and operational excellence across the Data Engineering function.
We are looking for Candidates in Chattanooga, TN or Portland, ME.
Principal Duties and Responsibilities
  • Lead execution of the team's data strategy, providing direction on tools, methodologies, delivery practices, and engineering standards that support consistent and scalable outcomes.
  • Oversee the planning, estimation, prioritization, and on-time delivery of data engineering initiatives, including setting clear expectations with business and technical stakeholders.
  • Guide the design, development, and implementation of data pipelines, analytical databases, and analytics workflows that support operational reporting, Finance analytics, and business performance objectives.
  • Partner with business areas to translate needs into technical plans, identify required data sources, communicate findings, and develop practical implementation approaches aligned to corporate policies, procedures, controls, and compliance requirements.
  • Advance the team's use of AI and agentic development practices to accelerate developer throughput, improve delivery efficiency, and establish appropriate standards for prompt engineering, responsible usage, and team upskilling.
  • Evaluate current and emerging data engineering, analytics, and AI methods to recommend continuous improvement opportunities and strengthen the team's technical capabilities.
  • Recruit, train, coach, develop, and retain staff, including performance management and mentoring to build technical depth, delivery discipline, and effective use of modern data tools.
  • Perform other related duties as assigned.

Job Specifications
Required Qualifications
  • Minimum of 5 years of hands-on experience in data engineering, business intelligence, data science, or a closely related discipline, with demonstrated ability to deliver scalable data and analytics solutions.

Preferred Qualifications
  • Bachelor's degree in Information Technology, Mathematics, Statistics, Computer Science, Data Analytics, or a related field preferred.
  • Prior leadership, people management, or technical team leadership experience preferred.

Technical Skills
  • Experience with Data Build Tool (DBT Core or Platform) to support data transformation, modeling, testing, documentation, and governed pipeline development.
  • Experience with analytics programming languages, including SQL/Python, for data extraction, transformation, analysis, automation, and pipeline development.
  • Experience with modern BI toolsets, including Tableau, Alteryx, PowerBI, or equivalent platforms, to support analytics, visualization, workflow automation, and business reporting needs.
  • Strong understanding of data profiling, statistical analysis, data modeling, data architecture, and related infrastructure concepts across on-premises and cloud-based environments.
  • Demonstrated ability to extract, load, integrate, and leverage data across data warehouses, transactional databases, object stores, APIs, and other enterprise data environments.
  • Strong problem-solving, programming, prioritization, and project management skills, with the ability to manage ambiguity and make thoughtful recommendations.
  • Ability to interpret complex technical and analytical information, decompose problems, and translate findings into practical business solutions for stakeholders at multiple levels.
  • Excellent communication, collaboration, coaching, and mentoring skills, including the ability to develop technical talent and work effectively with business partners, technical teams, senior leaders, and external contacts.

#LI-AS3
~IN1
Unum and Colonial Life are part of Unum Group, a Fortune 500 company and leading provider of employee benefits to companies worldwide. Headquartered in Chattanooga, TN, with international offices in Ireland, Poland and the UK, Unum also has significant operations in Portland, ME, and Baton Rouge, LA - plus over 35 US field offices. Colonial Life is headquartered in Columbia, SC, with over 40 field offices nationwide.
Unum is an equal opportunity employer, considering all qualified applicants and employees for hiring, placement, and advancement, without regard to a person's race, color, religion, national origin, age, genetic information, military status, gender, sexual orientation, gender identity or expression, disability, or protected veteran status.
The base salary range for applicants for this position is listed below. Unless actual salary is indicated above in the job description, actual pay will be based on skill, geographical location and experience.
$89,400.00-$183,500.00
Additionally, Unum offers a portfolio of benefits and rewards that are competitive and comprehensive including healthcare benefits (health, vision, dental), insurance benefits (short & long-term disability), performance-based incentive plans, paid time off, and a 401(k) retirement plan with an employer match up to 5% and an additional 4.5% contribution whether you contribute to the plan or not. All benefits are subject to the terms and conditions of individual Plans.
Company:
Unum