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Remote Data Management Jobs in Madison, WI (NOW HIRING)

Partner with investigators to develop and implement data management and sharing plans for grant ... It is anticipated that this position will be remote and requires work be performed at an offsite ...

... data management experience (5+ years) Nice to have skills: Python Notes: 90-100% remote but can require staff to come onsite as necessary with sufficient notice. Onsite work is not likely, but ...

Responsibilities may include remote data analysis, desktop engineering review, savings calculations ... Use the company's virtual energy management software platform to review facility performance ...

Responsibilities may include remote data analysis, desktop engineering review, savings calculations ... Use the company's virtual energy management software platform to review facility performance ...

Responsibilities may include remote data analysis, desktop engineering review, savings calculations ... Use the company's virtual energy management software platform to review facility performance ...

We seek a Data Analyst to play a key role in delivering high-impact analytics and reporting ... This is a remote position. * Candidates must live and work in Wisconsin. * Requires eligibility to ...

Financial Manager

Madison, WI · On-site +1

$90K/yr

Remote work requires an approved remote work agreement (RWA) agreement. An RWA requires successful ... data management, budget preparation and management, and financial reporting efforts * Participates ...

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Remote Data Management information

What are some common challenges faced in a remote data management role, and how can they be addressed?

One common challenge in remote data management is ensuring data security and integrity while working outside a traditional office environment. Remote team members must follow strict protocols for data access and regularly update security measures to protect sensitive information. Additionally, effective communication and collaboration with cross-functional teams can be more difficult remotely, so utilizing project management and communication tools is vital. Establishing clear workflows and regular check-ins helps maintain data consistency and team alignment.

What is Remote Data Management?

Remote Data Management refers to the practice of organizing, storing, securing, and analyzing data from a location outside of an organization's physical premises. Professionals in this field use cloud-based tools and remote access software to manage databases, ensure data integrity, and facilitate data sharing among distributed teams. This approach enables businesses to maintain their data infrastructure efficiently while supporting remote work and global collaboration. It also involves implementing protocols to ensure data security and compliance with relevant regulations.

What is the difference between Remote Data Management vs Data Analyst?

AspectRemote Data ManagementData Analyst
CredentialsTypically requires a degree in IT, Computer Science, or related fields; certifications like Microsoft Certified Data Analyst or AWS Data AnalyticsRequires a degree in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst Associate or Tableau Desktop Specialist
Work EnvironmentPrimarily remote, working with databases, data warehouses, and cloud platformsRemote or on-site, analyzing data sets, creating reports, and visualizations
Industry UsageUsed across IT, finance, healthcare, and e-commerce sectorsCommon in finance, marketing, healthcare, and consulting industries

Remote Data Management and Data Analysts share overlapping skills in data handling and analytics, but differ mainly in focus. Remote Data Management emphasizes database administration and cloud platforms, while Data Analysts focus on interpreting data and creating insights. Both roles are vital in data-driven organizations and often collaborate to optimize data use.

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

To thrive in Remote Data Management, you need strong analytical skills, attention to detail, and a solid understanding of database concepts, often supported by a degree in information systems or a related field. Proficiency with data management tools such as SQL, Microsoft Excel, and cloud-based platforms like AWS or Google Cloud, as well as knowledge of data privacy regulations, is typically required. Excellent communication, self-motivation, and time management are important soft skills for collaborating with distributed teams and managing tasks independently. These skills ensure accurate, secure, and efficient handling of data assets while maintaining productivity and compliance in a remote work environment.

What Are Remote Jobs in Data Management?

Various types of remote data management jobs are available in healthcare and insurance, with titles like clinical data manager, analyst, and auditor. In these jobs, you manage a database and provide analysis of information related to clinical trials, medical payments, operational activities, and more. Your duties and responsibilities include generating reports, database administration, and providing support for coworkers throughout your organization, but your responsibilities can vary based on what kinds of data you store. Additionally, you work with your company’s leadership to address issues affecting the availability and use of data and proactively suggest strategies for improving efficiency and accuracy. In some roles, you also participate in project planning, resource allocation, and budgeting.

What are the most commonly searched types of Data Management jobs in Madison, WI? The most popular types of Data Management jobs in Madison, WI are:
What are popular job titles related to Remote Data Management jobs in Madison, WI? For Remote Data Management jobs in Madison, WI, the most frequently searched job titles are:
What job categories do people searching Remote Data Management jobs in Madison, WI look for? The top searched job categories for Remote Data Management jobs in Madison, WI are:
What cities near Madison, WI are hiring for Remote Data Management jobs? Cities near Madison, WI with the most Remote Data Management job openings:
Infographic showing various Remote Data Management job openings in Madison, WI as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Data Governance Program Manager

Wisconsin

Madison, WI • On-site, Remote

Other

Retirement, PTO

Posted 6 days ago


Job description

Current Employees: If you are currently employed at any of the Universities of Wisconsin, log in to Workday to apply through the internal application process.Job Category:Academic StaffEmployment Type:RegularJob Profile:Data Scientist IIIJob Summary:

We are seeking an experienced Data Governance Program Manager to support investigators by advancing the discoverability, accessibility, integration, stewardship, and responsible sharing of biomedical research data across the School of Medicine and Public Health (SMPH). As a member of the Office of Informatics, the successful candidate will lead institutional efforts to establish and operationalize data governance strategies that enhance the value, quality, interoperability, and reuse of research data assets spanning clinical, translational, population health, genomic, imaging, and other biomedical domains.

The ideal candidate will work closely with investigators, data custodians, informatics teams, and other institutional partners to develop scalable approaches for research governance including data linkage, metadata management, data quality assessment, and data sharing. This role will be instrumental in building a sustainable data ecosystem that supports high-quality biomedical research, interdisciplinary collaboration, and data-driven discovery.

Key Responsibilities:

  • Lead the development and implementation of a comprehensive biomedical research data governance program across SMPH, including best practices for research data stewardship and lifecycle management.
  • Partner with investigators to develop and implement data management and sharing plans for grant applications, ensuring alignment with funding agency requirements and FAIR (Findable, Accessible, Interoperable, and Reusable) data principles.
  • Facilitate the discoverability, documentation, and dissemination of research datasets, including support for assigning persistent identifiers (e.g., DOIs), developing metadata standards, and depositing datasets into institutional and national repositories.
  • Establish and oversee data quality, data curation, and data stewardship frameworks that promote the accuracy, consistency, completeness, and usability of research data assets.
  • Lead the design and implementation of data integration, linkage and secure release methodologies spanning structured, semi-structured, textual, imaging, and other heterogeneous biomedical data sources.
  • Develop processes, standards, and tools that improve interoperability and enable the secure integration of research, clinical, public health, and other data domains to support advanced research initiatives while protecting privacy of patients and participants in research studies.
  • Guide the development and use of de-identified, limited, and synthetic datasets that support research access while maintaining appropriate safeguards for PHI and compliance with institutional policies.
  • Develop and implement methodologies for creating research-ready data products that enable reproducible, secure, scalable, and efficient research workflows.
  • Conduct and oversee data quality assessments, validation activities, and data fitness-for-use evaluations to ensure that research datasets meet established governance and scientific standards.
  • Serve as a subject matter expert in biomedical data governance, advising investigators, departmental leaders, and research teams on data stewardship, data sharing, metadata standards, and responsible data use.
  • Develop and deliver training, educational resources, and consultation services that promote best practices in research data management and governance across SMPH.
  • Monitor emerging trends, technologies, and policies related to biomedical data governance, FAIR data practices, research data ecosystems, interoperability standards, and advanced data management methodologies.
  • Directly and indirectly supervise staff supporting research data operations, data stewardship programs, data curation activities, and institutional data governance initiatives across SMPH.

It is anticipated that this position will be remote and requires work be performed at an offsite, non-campus work location.

Key Job Responsibilities:
  • Organizes and automates project steps for data preparation and analysis
  • Documents approaches to address research questions and contributes to the establishment of reproducible research methodologies and analysis workflows
  • Prepares data sets for analysis including cleaning/quality assurance, transformations, restructuring, and integration of multiple data sources
  • Serves as an institutional subject matter expert and liaison to key internal and external stakeholders regarding data science best practices and methodologies and represents the interests of data science
  • Identifies and implements or guides others in implementing appropriate data science techniques to find data patterns and answer research questions chosen by the lead researcher including data visualization, statistical analysis, machine learning, and data mining
  • May supervise the data-to-day activities of staff and resolves routine personnel issues
  • Contributes to education and training initiatives

  • Composes and assembles reproducible workflows and reports to clearly articulate patterns to researchers and/or administrators
Department:

School of Medicine and Public Health, Office of Informatics, Data Governance.

The UW School of Medicine and Public Health (SMPH) is a leader in research and innovation, dedicated to improving patient outcomes through advanced data science and analytics.

This position is within the School of Medicine and Public Health's Office of Informatics. SMPH Informatics is a multidisciplinary team of data scientists, engineers, developers and support staff. We offer a variety of Informatics to departments and research staff within the School of Medicine and Public Health and beyond to support the conduct of high-quality clinical and translational research. In this capacity, provide innovative solutions and training for a broad spectrum of clinical and translational research utilizing real-world data to facilitate rapid translation of research findings into clinical practice, with an emphasis on precision medicine, healthcare delivery, and population health.

Compensation:

The starting salary for the position is $120,000 but is negotiable based on experience and qualifications.

Employees in this position can expect to receive benefits such as generous vacation, holidays, and sick leave; competitive insurances and savings accounts; retirement benefits. For more information, refer to the campus benefits webpage and the SMPH Academic Staff Benefits Flyer

Required Qualifications:

- Demonstrable experience with at least three of the following competencies:

  • Research data governance and stewardship frameworks
  • FAIR data principles and metadata standards
  • Data integration and entity resolution/data linkage
  • Research data repositories and data sharing infrastructures
  • Synthetic data generation and research-ready data products
  • Data quality assessment and data curation

- Proven experience working on a large, grant-funded project that involves data exchange and sharing.

Preferred Qualifications:
  • Familiarity with programming languages such as Python or R, or similar.
  • Familiarity with: Biomedical and clinical research data management, Multimodal data environments including clinical, genomic, imaging, and unstructured data, and Research informatics and translational science ecosystems
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration skills.
  • Experience carrying out research using clinical science or data science with electronic health records
Education:

PhD preferred; focus in computer science, data science, public health, bioethics or related discipline preferred.

How to Apply:

For the best experience completing your application, we recommend using Chrome or Firefox as your web browser.

To apply for this position, select either "I am a current employee" or "I am not a current employee" under Apply Now. You will then be prompted to upload your application materials.

Important: The application has only one attachment field. Upload the following documents in that field, either as a single combined file or as multiple files in the same upload area. Failure to submit the required documents will result in no longer being considered for the position.
Cover letter (required)
Resume (required)

Your cover letter should address how your training and experience aligns with the required and preferred qualifications listed above. Application reviewers will rely on these written materials to determine which applicants move forward in the process. References will be requested from final candidates. All applicants will be notified once the search concludes and a candidate is selected

University sponsorship is not available for this position, including transfers of sponsorship and TN visas.The selected applicant will be responsible for ensuring their continuous eligibility to work in the United States (i.e. a citizen or national of the United States, a lawful permanent resident, a foreign national authorized to work in the United States without the need of an employer sponsorship) on or before the effective date of appointment.This position is an ongoing position that will require continuous work eligibility. If you are selected for this position you must provide proof of work authorization and eligibility to work.

Contact Information:

Cody Roekle, croekle@wisc.edu608-263-7676

Relay Access (WTRS): 7-1-1. See RELAY_SERVICE for further information

Institutional Statement on Diversity:

Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals.
The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background - people who as students, faculty, and staff serve Wisconsin and the world.

The University of Wisconsin-Madison is an Equal OpportunityEmployer.

Qualified applicants will receive consideration for employment without regard to, including but not limited to, race, color, religion, sex, sexual orientation, national origin, age, pregnancy, disability, or status as a protected veteran and other bases as defined by federal regulations and UW System policies. We promote excellence by acknowledging skills and expertise from all backgroundsand encourage all qualified individuals to apply. For more information regarding applicant and employee rights and to view federal and state required postings, visit the Human Resources Workplace Poster website.

To request a disability or pregnancy-related accommodationfor any step in the hiring process (e.g., application, interview, pre-employment testing, etc.), please contact the Divisional Disability Representative (DDR)in the division you are applying to.Please make your request as soon as possible to help the university respond most effectively to you.

Employment may require a criminal background check. It may also require your references to answer questions regarding misconduct, including sexual violence and sexual harassment.
The University of Wisconsin System will not reveal the identities of applicants who request confidentiality in writing, except that the identity of the successful candidate will be released. See Wis. Stat. sec. 19.36(7).
The Annual Security and Fire Safety Report contains current campus safety and disciplinary policies, crime statistics for the previous 3 calendar years, and on-campus student housing fire safety policies and fire statistics for the previous 3 calendar years. UW-Madison will provide a paper copy upon request; please contact the University of Wisconsin Police Department.