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Master Data Manager Jobs in Maine (NOW HIRING)

Northeastern University

Data Scientist

Portland, ME · On-site

Qualifications : Required : • Master's degree in Computer Science, Engineering, Applied ... project managers, and faculty experts. • Willingness to participate in client meetings in a ...

Northeastern University

Data Scientist

Portland, ME · On-site

Required : • Master's degree (required) or Ph.D. (optional) in Computer Science, Engineering ... project managers, and faculty experts. • Willingness to participate in client meetings in a ...

Young Presidents' Organization

Data Engineer

Mexico, ME · On-site

$119K - $143K/yr

Effective time management, organization and prioritization, managing multiple projects ... Master's degree preferred. * Prefer 5+ years' experience working as a data engineer for a consumer ...

Northeastern University

Data Scientist

Portland, ME · On-site

$87K - $123K/yr

Master's degree (required) or Ph.D. (optional) in Computer Science, Engineering, Applied ... Ability to manage assigned tasks, meet deadlines, and maintain high-quality work. * Proactive ...

NorthEastern

Data Scientist

Portland, ME

$87K - $123K/yr

Master's degree (required) or Ph.D. (optional) in Computer Science, Engineering, Applied ... Ability to manage assigned tasks, meet deadlines, and maintain high-quality work. * Proactive ...

TEKsystems

Data Analyst

Westbrook, ME · Hybrid

$42/hr

Retrieve and analyze data and present reports to management for use in supporting operations and ... We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master ...

TEKsystems

Data Analyst

Westbrook, ME · Hybrid

$42/hr

Retrieve and analyze data and present reports to management for use in supporting operations and ... We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master ...

BerryDunn

Accounts Payable Supervisor

Bangor, ME · On-site

$70K - $80K/yr

... managers to business owners. They will handle highly confidential information across multiple ... vendor master data cleanup and W-9 validation throughout the year. * Maintain and continuously ...

BerryDunn

Accounts Payable Supervisor

Portland, ME · On-site

$70K - $80K/yr

... managers to business owners. They will handle highly confidential information across multiple ... vendor master data cleanup and W-9 validation throughout the year. * Maintain and continuously ...

BerryDunn

Accounts Payable Supervisor

Portland, ME · On-site

$70K - $80K/yr

... managers to business owners. They will handle highly confidential information across multiple ... vendor master data cleanup and W-9 validation throughout the year. * Maintain and continuously ...

BerryDunn

Accounts Payable Supervisor

Portland, ME · On-site

$70K - $80K/yr

... managers to business owners. They will handle highly confidential information across multiple ... vendor master data cleanup and W-9 validation throughout the year. * Maintain and continuously ...

Michael Foods Inc.

Cost Accountant

Mars Hill, ME · On-site

$56K - $79K/yr

... for master data set up: resources, materials, BOMs, and recipes. • Accountable for a safe and ... Report to management any conditions or practices that may adversely affect food safety and quality ...

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All JobsMaster Data JobsMaster Data Manager JobsMaster Data Manager Jobs in Maine

Master Data Manager information

See Maine salary details

$30K

$94.1K

$166.5K

How much do master data manager jobs pay per year?

As of Aug 22, 2026, the average yearly pay for master data manager 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 a master data manager?

A Master Data Manager is a professional responsible for overseeing an organization’s critical business data, ensuring its accuracy, consistency, and security across various systems. They develop and implement policies and processes for managing master data, such as customer, product, or supplier information. Their role often involves data governance, quality control, and collaborating with different departments to maintain data integrity. Master Data Managers help organizations make informed decisions by providing reliable data and supporting compliance with regulatory requirements.

How does a master data manager typically collaborate with other departments to ensure data consistency across the organization?

A Master Data Manager works closely with teams such as IT, finance, operations, and sales to establish and enforce data governance policies. They facilitate regular communication to align data standards and resolve discrepancies, often leading cross-functional meetings to address data quality issues. By collaborating on data integration projects and implementing best practices, Master Data Managers ensure that all departments have access to accurate and consistent information, which is crucial for decision-making and operational efficiency.

What are the key skills and qualifications needed to thrive as a master data manager, and why are they important?

To thrive as a Master Data Manager, you need expertise in data governance, data quality management, and strong analytical skills, typically supported by a degree in information systems or a related field. Familiarity with master data management (MDM) platforms like Informatica or SAP MDG, and certifications in data management are highly beneficial. Exceptional communication, attention to detail, and project management abilities help you collaborate across departments and drive data initiatives. These skills ensure accurate, consistent, and reliable data that supports business decision-making and operational efficiency.

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

AspectMaster Data ManagerData Analyst
Required CredentialsBachelor's degree in Business, IT, or related field; certifications like CDMP or DAMABachelor's degree in Statistics, Mathematics, or related field; certifications like CAP or Microsoft Data Analyst
Work EnvironmentData management teams, IT departments, enterprise systemsBusiness units, analytics teams, reporting departments
Employer & Industry UsageFinance, healthcare, retail, manufacturingMarketing, finance, consulting, technology

The Master Data Manager focuses on maintaining and governing core data assets across an organization, ensuring data accuracy and consistency. In contrast, a Data Analyst interprets data to generate insights and support decision-making. While both roles require data-related skills, the Master Data Manager emphasizes data governance and management, whereas the Data Analyst emphasizes data analysis and reporting.

How much does a master data manager make?

The average salary for a master data manager in the United States ranges from $80,000 to $130,000 annually, depending on experience, industry, and location. Professionals with certifications in data management tools and strong analytical skills tend to earn higher salaries.
Master Data Manager jobs near you
Infographic showing various Master Data Manager job openings in Maine as of August 2026, with employment types broken down into 84% Full Time, 12% Part Time, 3% Temporary, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $94,055 per year, or $45.2 per hour.

Data Scientist

Northeastern University

Portland, ME • On-site

Full-time

Re-posted 29 days ago

Job description

Job Summary:
Northeastern University is seeking a Data Scientist for its AI Solutions Hub at the Roux Institute in Portland, Maine. This role is designed for early-career data scientists to contribute to the development and delivery of AI and data science solutions across various industries while gaining exposure to production systems and modern AI practices.
Responsibilities:
• Perform data cleaning, exploratory data analysis (EDA), and feature engineering.
• Train, evaluate, and compare machine learning models under supervision.
• Assist with model validation, performance monitoring, and documentation.
• Contribute to ML pipelines and collaborate with ML engineers on deployment-related tasks.
Qualifications:
Required:
• Master’s degree in Computer Science, Engineering, Applied Mathematics, Statistics, or a closely related field.
• 0–2 years of industry, research, or applied project experience in data science or machine learning.
• Solid understanding of statistical methods, regression, hypothesis testing, and basic experimental design.
• Hands-on experience with classical machine learning methods such as linear/logistic regression, decision trees, and gradient boosting.
• Familiarity with deep learning concepts and modern architectures (e.g., convolutional neural networks or transformers); deep specialization is not required.
• Proficiency in Python for data analysis and model development (NumPy, pandas, scikit-learn).
• Working knowledge of SQL and relational databases.
• Familiarity with at least one ML or deep learning framework (e.g., PyTorch, TensorFlow, HuggingFace).
• Ability to clearly communicate analytical findings to technical and non-technical audiences with guidance.
• Collaborate effectively with cross-functional teams including data scientists, engineers, project managers, and faculty experts.
• Willingness to participate in client meetings in a supporting role.
• Awareness of ethical AI principles including fairness, transparency, and responsible model use.
• Willingness to follow established governance, documentation, and review practices.
• Strong curiosity and motivation to learn new tools, techniques, and AI methods.
• Openness to feedback and mentorship.
• Ability to manage assigned tasks, meet deadlines, and maintain high-quality work.
• Proactive attitude and willingness to take increasing responsibility over time.
Preferred:
• Exposure to NLP, computer vision, or speech processing through coursework or academic/industry projects.
• Familiarity with cloud platforms (AWS, Azure, or GCP).
• Understanding of software development best practices such as version control (Git) and Agile workflows.
Company:
Founded in 1898, Northeastern is a global research university with a distinctive, experience-driven approach to education and discovery. Founded in 1898, the company is headquartered in Boston, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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