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Data Manager Jobs in Riverside, RI (NOW HIRING)

Data Lakehouse Architect

Middletown, RI · On-site

$63.50 - $81.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Define architecture for data partitioning, compaction, schema evolution, metadata management, table maintenance, and lifecycle policies. * Architect data ingestion frameworks for both real-time and ...

Quality Engineer

Mansfield, MA · On-site

$76K - $98K/yr

  • Medical

  • Life

The PMV Data Manager is responsible for leading a group of PMV Data Analysts in developing statistically based ad hoc reports utilizing data generated by the Client complaint system to assist in the ...

Data Lakehouse Architect

Middletown, RI · On-site

$63.50 - $81.50/hr

Responsibilities : • Design and document lakehouse architecture using Kafka for streaming ingestion, Iceberg for table format and data management, S3 and/or CEPH for object storage, and Trino for ...

Technical Architect - Data, Analytics & AI

Brockton, MA · Hybrid

$64 - $82.50/hr

  • Medical

  • Life

  • Retirement

  • PTO

Define and maintain technical standards for enterprise data management, analytics platforms, and AI enablement capabilities. * Design and guide datacentric and AIenabled initiatives , supporting the ...

Enterprise Data Analyst

Providence, RI · On-site +1

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Streamline and standardize reporting processes to ensure timely, accurate delivery of key metrics Data Management & Quality * Partner with the Data Engineering team to source, integrate, and validate ...

Data Platform Tech Lead

Fall River, MA · Remote

$130K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Manage and enhance the modern data stack: Snowflake, Matillion, dbt, Power BI, and Python * Design scalable architecture and reusable data models aligned with business needs * Support the potential ...

Data & Analytics Enablement Analyst

Johnston, RI

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Collaborate with managers and learning teams to inform technical skill development strategies, including badges (Tableau, SQL, Python, et cetera) to ensure skill needs are met. * Lead the ...

Data & Analytics Enablement Analyst

Johnston, RI · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Collaborate with managers and learning teams to inform technical skill development strategies, including badges (Tableau, SQL, Python, et cetera) to ensure skill needs are met. * Lead the ...

Manager Data & Integration Platforms

Providence, RI · On-site +1

$151K - $243K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Lead a multidisciplinary engineering and product management team to design, deliver, and optimize data ingestion, transformation, governance, AI and API integrations. Drive best practices for data ...

Data Engineer 1

Providence, RI · On-site

$80K - $96K/yr

This is a hybrid role that combines analytics, reporting, and technical data management responsibilities in a collaborative consulting environment. Working closely with analysts, consultants, health ...

They are seeking a Manager, Data Operations to lead and manage resources for Azure Data Lake operations, ensuring platform stability and overseeing data operations monitoring. Responsibilities : • ...

Manager, Pharmacy Workflow Data Analytics

Woonsocket, RI · On-site

$66K - $145K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Manager, Pharmacy Workflow Data Analytics plays a critical role within this team by using advanced analytics to identify priorities, uncover insights, and guide investment decisions that deliver ...

Showing results 21-40

Data Manager information

See Riverside, RI salary details

$30.4K

$95.3K

$168.8K

How much do data manager jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data manager in Riverside, RI is $95,347.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,800.00 and $123,200.00 per year, depending on experience, location, and employer.

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.

Are data managers in demand?

Data managers are in high demand across various industries due to the increasing reliance on data-driven decision making. They typically require strong skills in database management, data analysis, and familiarity with tools like SQL and data visualization software, making their roles essential for organizations managing large data sets.

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.

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 cities near Riverside, RI are hiring for Data Manager jobs? Cities near Riverside, RI with the most Data Manager job openings:
Infographic showing various Data Manager job openings in Riverside, RI as of August 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $95,347 per year, or $45.8 per hour.

Senior Data Engineer - Credit Data Analytics

MDAEdge

Providence, RI • On-site

$115K - $138K/yr

Full-time

Re-posted 23 days ago


Job description

Job Summary:
MDAEdge is a company focused on delivering data-driven solutions, and they are seeking a Senior Data Engineer to drive data engineering efforts. The role involves developing analytics and automation solutions, managing complex data sets, and providing technical leadership across multiple systems and domains.
Responsibilities:
• The Corporate Audit and Credit Review (CACR) analytics & automation team delivers data-driven, risk-based insights and automation solutions to the CACR organization. The Senior Data Engineer role will be responsible for developing and implement a range of analytics and automation solutions, including data extraction, analysis, reporting, and dashboard design, but could include more advanced analytics including statistical analysis, text mining & NLP, and modeling/machine learning/AI. This role demands interaction with highly experienced audit and/or credit professionals, data experts and technology. Intellectual curiosity will drive critical thinking to produce optimal solutions. Strong time management, coordination, communication, and presentation skills are a must in this role.
• Assembles large, complex data sets that meet functional and non-functional requirements, ensuring that the design and engineering approach is consistent across multiple systems.
• Maintains, improves, cleans, and manipulates large data for operational and analytics data systems, builds complex processes supporting data transformation, data structures, metadata, data quality controls, dependency, and workload management, and communicates required information for deployment, maintenance, and support of business functionality.
• Utilizes multiple architectural components in the design and development of client requirements and collaborates with development teams to understand data requirements and ensure the data architecture is feasible to implement.
• Defines and builds data pipelines to enable data-informed decision making, ensuring adherence to release processes and risk management routines.
• Contributes to existing test suites including integration, regression, and performance, analyzes test reports, identifies any test issues and errors, and leads triage of underlying causes.
• Leads the identification of gaps in data management standards adherence and works with appropriate partners to develop plans to close gaps, leading concept testing and conducting research to prototype toolsets and improve existing processes.
• Mentors Data Engineers in the delivery and release of continuous integration and continuous delivery events and defines key performance indicators and internal controls.
• Utilizes sound, seasoned analytical skills to independently develop analytics & automated testing solutions using a variety of tools (Alteryx, Tableau, etc.) and programming languages (SQL, SAS, Python, etc.)
• Supports the design and execution of new analytics, automated testing tools, and models.
• Responsible for multiple projects simultaneously, ensuring each one is completed on time and efficiently with a high standard of work.
• Coordinates, schedules, scopes, and leads large, cross-functional analytics & automation activities.
• Exercises judgment, critical thinking, and sound communication skills to influence business partners.
• Coaches/trains junior team members in execution of analytics and automation activities.
Qualifications:
Required:
• Intermediate to advanced knowledge of one or more of the following: SQL, SAS, Alteryx, Python, Tableau or related tools.
• Advanced skills in Microsoft Excel.
• Advanced analytic skills that demonstrate the ability to navigate systems, access data, reconcile numbers from different sources, identify discrepancies and trends, and understand drivers of changes within data.
• Strong track record of implementing automated solutions related to data & analytics, including the ability to extract, organize, and present the data in user-friendly reports, dashboards or tools.
• Ability to work both independently or in teams on multiple projects simultaneously to deliver timely and complete solutions under minimal supervision.
• Strong written and oral communication skills, with ability to communicate with both technical and executive audience.
Preferred:
• Experience with one or more of the following as plus: model development, machine learning/artificial intelligence (AI), and data science.
• Experience with one or more of the following a plus: DataRobot, Instabase, and UIPath.
Company:
The world doesn't have a talent shortage. It has a talent alignment problem. MDA Edge exists to fix that. Founded in , the company is headquartered in Sheridan, WY, US, , with a team of 51-200 employees. The company is currently Growth Stage.