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Senior Data Manager Jobs in Madison, WI (NOW HIRING)

The Weather Channel

Senior Data Scientist

Madison, WI · On-site

Working with weather data is really unique and amazing; weather is in perpetual evolution ... Play an active role in the product requirements process, giving feedback to product management when ...

Abbott

Sr. Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Position Overview As a Senior Data Engineer, this seasoned professional will demonstrate competence ... Support and comply with the company's Quality Management System policies and procedures. * Maintain ...

Abbott

Sr. Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Position Overview As a Senior Data Engineer, this seasoned professional will demonstrate competence ... Support and comply with the company's Quality Management System policies and procedures. * Maintain ...

Abbott

Sr. Data Engineer

Madison, WI

$115K - $138K/yr

Position Overview As a Senior Data Engineer, this seasoned professional will demonstrate competence ... Support and comply with the company's Quality Management System policies and procedures. * Maintain ...

AgSource

Senior Data Engineer

Watertown, WI · On-site +1

$101K - $137K/yr

Responsibilities Data Integration * Design, develop, and maintain robust and efficient ETL ... management information to take producers to the frontline of progressive dairy farming, and an ...

Farm Systems

Senior Data Engineer

Watertown, WI

$101K - $137K/yr

Responsibilities Data Integration * Design, develop, and maintain robust and efficient ETL ... management information to take producers to the frontline of progressive dairy farming, and an ...

AgSource

Senior Data Engineer

Watertown, WI

$101K - $137K/yr

Responsibilities Data Integration * Design, develop, and maintain robust and efficient ETL ... management information to take producers to the frontline of progressive dairy farming, and an ...

Urus

Senior Data Engineer

Watertown, WI · On-site

$101K - $137K/yr

Responsibilities Data Integration * Design, develop, and maintain robust and efficient ETL ... management information to take producers to the frontline of progressive dairy farming, and an ...

Abbott

Director, Data Engineering

Madison, WI · On-site

... senior data executive - setting the enterprise data strategy, governance model, and analytics roadmap that shape how the division generates insight, deploys AI, manages compliance, and competes in ...

Abbott

Director, Data Engineering

Madison, WI

... senior data executive - setting the enterprise data strategy, governance model, and analytics roadmap that shape how the division generates insight, deploys AI, manages compliance, and competes in ...

Urus

Sr. Product Manager, People Applications

Madison, WI · On-site

$127K - $168K/yr

We are seeking an experienced Sr. Product Manager, People Applications to lead the strategy ... Govern configuration standards, system controls, and data quality across modules and regions.

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Senior Data Manager information

See Madison, WI salary details

$79.7K

$124.1K

$186K

How much do senior data manager jobs pay per year?

As of Aug 31, 2026, the average yearly pay for senior data manager in Madison, WI is $124,081.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,400.00 and $138,600.00 per year, depending on experience, location, and employer.

What is a senior data manager?

A Senior Data Manager is a professional responsible for overseeing the collection, management, and analysis of large sets of data within an organization. They ensure data quality, integrity, and security, and often lead a team of data professionals such as analysts and data engineers. Senior Data Managers collaborate with IT, business, and analytics teams to support data-driven decision-making and compliance with data regulations. They typically have several years of experience in data management, strong technical skills, and leadership abilities.

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

To thrive as a Senior Data Manager, you need expertise in data management principles, database design, and statistical analysis, usually backed by a degree in computer science, information systems, or a related field. Familiarity with database management systems (e.g., SQL, Oracle), data integration tools, and certifications like CDMP or DAMA are highly valued. Leadership, problem-solving, and effective communication are critical soft skills for managing teams and collaborating across departments. These skills ensure accurate data governance, efficient project execution, and the alignment of data strategy with business goals.

What are some typical challenges faced by senior data managers when implementing new data governance policies?

Senior Data Managers often encounter challenges such as resistance to change from stakeholders, integrating new policies with existing legacy systems, and ensuring consistent data quality across departments. Effective communication and cross-team collaboration are crucial to overcome these hurdles, as is providing ongoing training to staff. Additionally, Senior Data Managers need to balance compliance requirements with business objectives to ensure that new policies are both practical and sustainable.

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

AspectSenior Data ManagerData Analyst
Required CredentialsBachelor's or Master's in Data Science, Business, or related field; experience in data managementBachelor's in Statistics, Data Science, or related field; proficiency in data analysis tools
Work EnvironmentOversees data teams, manages data systems, and ensures data qualityAnalyzes data sets, creates reports, and supports decision-making
Employer & Industry UsageUsed in corporate, healthcare, finance sectors for data governanceCommon in marketing, research, and business intelligence roles

The main difference is that Senior Data Managers focus on overseeing data operations and strategy, while Data Analysts primarily analyze data to generate insights. Senior Data Managers have broader responsibilities in data governance and team management, whereas Data Analysts concentrate on data interpretation and reporting.

How much does a senior data manager get paid?

The average salary for a senior data manager typically ranges from $90,000 to $130,000 annually, depending on experience, industry, and location. They often require strong skills in data analysis, database management, and familiarity with tools like SQL and data visualization software.

What does a senior data manager do?

A senior data manager oversees the collection, organization, and analysis of data within an organization. They develop data management strategies, ensure data quality and security, and often use tools like SQL and data visualization software to support decision-making. This role typically requires strong leadership skills and experience in data governance and analytics.

What are popular job titles related to Senior Data Manager jobs in Madison, WI?

For Senior Data Manager jobs in Madison, WI, the most frequently searched job titles are:

What job categories do people searching Senior Data Manager jobs in Madison, WI look for?

The top searched job categories for Senior Data Manager jobs in Madison, WI are:

What cities near Madison, WI are hiring for Senior Data Manager jobs?

Cities near Madison, WI with the most Senior Data Manager job openings:

Senior Data Manager jobs near you

Senior Data Scientist

Madison, WI

The Weather Channel
See more jobs at The Weather Channelexternal

Full-time

Re-posted 2 days ago

Job description

Company Description

The Weather Company provides the best weather insight in the world, and is leading the charge in the growing area of weather decision support for business. We are offering you a unique opportunity to apply and/or develop your mathematical modeling skills on our unique set of weather data. Working with weather data is really unique and amazing; weather is in perpetual evolution, generates petabytes of new data every month, and deeply impacts people and businesses on various timescales. We serve a wide variety of businesses including renewable energies, energy traders, utility companies, insurance, retailers, and consumer product groups. As a consequence you will apply and/or learn a wide variety of statistical techniques including time series analysis, high dimensional clustering, machine learning, data mining and Bayesian modeling.

Job Description

Are you interested in applying machine learning or data mining on problems that truly improve people's life? We're looking for a mathematician/data scientist eager to tackle unique challenges in the realm of predicting weather's impact on business. You will work on a skilled team of passionate data scientists and meteorologists. Examples of projects you may encounter would be anything from predicting the electricity output of a solar park in Arizona, to predicting how much ice cream is going to be sold next week in Chicago.

  • Partner collaboratively with the business and project teams to accomplish tasks/milestones/goals.

  • Research, recommend, and implement statistical post process correction techniques using proprietary forecasts.

  • Demonstrate solutions by developing documentation, flowcharts, layouts, diagrams, charts, etc.

  • Improve operations by conducting systems analysis; recommending changes in policy and procedures.

  • Provide estimates of work effort and impact of projects and tasks, and provide team leadership, as required.

  • Continuously build your knowledge by studying new scientific methodologies and techniques.

  • Play an active role in the product requirements process, giving feedback to product management when challenges arise.

Qualifications

  • MS in Applied Statistics, Mathematics, Econometrics, or other discipline related to Time-Series Analysis, Machine learning and Forecasting, or other related discipline.

  • 3-5 years of relevant professional experience, with demonstrated achievements.

  • Can demonstrate mastery of general scientific computing softwares such as R, MATLAB, Octave, etc.

  • Experience using/implementing non-parametric regression such as  Neural Net, SVM, Random Forest, Projection Pursuit, MARS, Radial Basis Functions, AdaBoost, GLM

  • Experience in Predictive Modeling including Non-Parametric Regression, Bayesian Inference, Hidden Markov Models, Generalized ARMA, or Kalman Filtering is a plus.

  • Experience in non-linear optimisation including Simulated Annealing, Genetic Algorithm, Agent Based Modeling, Particle Swarm, Bee Colony is a plus but not necessary.

  • Knowledge of ensemble learning techniques and probabilistic forecasts is a plus.

  • Programming capabilities including C++, Java, Python is a plus but not necessary.

Additional Information


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