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Research Data Manager Jobs in Wisconsin (NOW HIRING)

WI ยท On-site

$90 - $130/hr

Data management & governance (Data Manager in EDF context): Implement metadata management and data ... Contribute to technical documentation and deliverables for R&D projects and EDF reportin Experience ...

Researcher

Madison, WI ยท On-site

$72K/yr

Experience developing research protocols, ensuring human subjects protections, and data protection. * Experience with statistical and data management programs and knowledge of qualitative and/or ...

Researcher

Madison, WI ยท On-site +1

$72K/yr

Experience developing research protocols, ensuring human subjects protections, and data protection. * Experience with statistical and data management programs and knowledge of qualitative and/or ...

Experience developing research protocols, ensuring human subjects protections, and data protection. * Experience with statistical and data management programs and knowledge of qualitative and/or ...

Conduct in-depth data analyses from research. * Develop and present research reports containing ... Manage Consumer Insights budget. * Analyze secondary research data and product actionable reports ...

Consumer Insights Manager

Kenosha, WI ยท On-site

$75 - $95/hr

Conduct in-depth data analyses from research. * Develop and present research reports containing ... Time management skills are critical * Apparel and/or retail industry experience preferred * Some ...

WI ยท On-site

$70.20 - $105.30/hr

... manages clinical research studies by coordinating and participating in a variety of complex activities involved in the collection, compilation, documentation, and analysis of clinical research data.

Showing results 21-40

Research Data Manager information

See Wisconsin salary details

$31.3K

$98.1K

$173.6K

How much do research data manager jobs pay per year?

As of Sep 6, 2026, the average yearly pay for research data manager in Wisconsin is $98,053.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,600.00 and $126,700.00 per year, depending on experience, location, and employer.

What is a research data manager?

Research Data Managers are professionals responsible for overseeing the collection, organization, storage, and sharing of research data throughout the lifecycle of a research project. They ensure data integrity, security, and compliance with relevant legal, ethical, and institutional requirements. Their work enables researchers to manage data efficiently, promote data sharing, and support reproducibility and transparency in research.

What are the key skills and qualifications needed to thrive as a research data manager?

To thrive as a Research Data Manager, you need expertise in data management, database design, and knowledge of regulatory compliance, often supported by a degree in information science or a related field. Familiarity with data management systems (such as REDCap or SQL databases), data security protocols, and relevant certifications like Certified Research Data Manager (CRDM) is typically required. Strong organizational skills, attention to detail, and effective communication are vital soft skills for coordinating with research teams and ensuring data integrity. These abilities ensure that research data is accurate, secure, and accessible, supporting the success and credibility of scientific projects.

What are some common challenges faced by research data managers, and how can they be addressed in day-to-day work?

Research Data Managers often encounter challenges such as ensuring data integrity, managing large volumes of diverse data, and complying with data privacy regulations. To address these issues, they implement robust data management plans, maintain clear documentation, and regularly conduct data audits. Effective collaboration with researchers and IT staff is also essential to streamline workflows and troubleshoot data-related issues, ensuring the research process remains efficient and compliant.

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

AspectResearch Data ManagerData Analyst
Required CredentialsBachelor's or Master's in Data Science, Information Management, or related fieldsBachelor's or Master's in Statistics, Data Science, or related fields
Work EnvironmentResearch institutions, universities, clinical trials, or research labsBusiness, finance, marketing, or healthcare organizations
Employer & Industry UsagePrimarily in research settings managing data collection, storage, and complianceAnalyzing data to inform business decisions across various industries

Research Data Managers focus on organizing, maintaining, and ensuring the integrity of research data within academic or clinical research environments. Data Analysts interpret and analyze data to generate insights for business or research purposes. While both roles require strong data skills, Research Data Managers emphasize data management and compliance, whereas Data Analysts focus on data interpretation and reporting.

What are the most commonly searched types of Research Data jobs in Wisconsin?

The most popular types of Research Data jobs in Wisconsin are:

What are popular job titles related to Research Data Manager jobs in Wisconsin?

For Research Data Manager jobs in Wisconsin, the most frequently searched job titles are:

What cities in Wisconsin are hiring for Research Data Manager jobs?

Cities in Wisconsin with the most Research Data Manager job openings:

Infographic showing various Research Data Manager job openings in Wisconsin as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $98,053 per year, or $47.1 per hour.

$90 - $130/hr

Other

Posted 5 days ago


Job description

dotOcean, based in Brugge with hubs in Gent and Leuven, Belgium, is a leader in pioneering autonomous control and advanced situational awareness technology for the maritime, security and civil industry.

We are looking for a Data Engineer to design, build and maintain the data pipelines, data architectures and data management solutions that power dotOcean's maritime and defense systems. Working at the heart of our EDF-funded programs and commercial products, you will implement the data backbone that connects sensors, edge systems and cloud platforms โ€” enabling real-time situational awareness and autonomous decision-making at sea and beyond.

Your Skills Key responsibilities

Design, implement and maintain ETL/ELT pipelines using tools like Apache Airflow, dbt or Apache Flink.

Work with streaming data architectures to process real-time sensor and mission data.

Build and maintain data pools, data lakes and warehouses.

Implement data batching, buffering and orchestration logic for both edge and cloud deployments.

Define and maintain data schemas, data models and interface definitions in collaboration with the data architect.

Implement DDS (Data Distribution Service) based data-centric architectures for real-time interoperability across system-of-systems.

Ensure data semantics consistency across heterogeneous systems using ontologies and agreed standards.

Data management & governance (Data Manager in EDF context):

Implement metadata management and data lineage tracking (e.g. DataHub, OpenMetadata).

Define and enforce data access policies (RBAC, encryption, GDPR compliance).

Support data classification, data quality standards and retention strategies across consortium projects.

Contribute to data governance deliverables and multi-partner data sharing agreements.

Evaluate and select data tools and technologies together with the data architect and DevOps team.

Work closely with data scientists, AI engineers and robotics engineers to provide reliable, well-structured data feeds for analytics and ML pipelines.

Contribute to technical documentation and deliverables for R&D projects and EDF reportin

Experience & skills we are looking for

Master's degree in Computer Science, Engineering, Mathematics or equivalent experience.

Handsโ€‘on experience with ETL/ELT pipeline development.

Working knowledge of streaming data technologies.

Experience with relational and nonโ€‘relational databases.

Familiarity with metadata management and data lineage tools.

Solid understanding of data security principles (RBAC, encryption, GDPR).

Experience with distributed systems or dataโ€‘centric architectures is a strong plus.

Knowledge of DDS (Data Distribution Service) or STANAG/UMAA standards is a plus.

Affinity with maritime, defense or autonomous systems is a plus.

Strong communication skills; comfortable working in multi-disciplinary teams and multi-partner consortia.

What we offer

At dotOcean, youโ€™ll work with the latest technologies in autonomous systems, automated operations and cloud technology.

Weโ€™re a growing team focused on collaboration, coaching and personal development. And yes, thereโ€™s always laughter!

We foster an open environment where active listening and the sum of all parts are valued. Youโ€™ll grow both professionally and personally.

  • After a week of hard work, we often head to the cafรฉ to unwind. Our party committee also organizes fun activities and events.
  • With 40-hour workweeks and 12 additional vacation days per year, we ensure you have the perfect work-life balance.
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