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Data Operations Director Jobs in Madison, WI (NOW HIRING)

Director, Claims Operations

Madison, WI · On-site

$113K - $194K/yr

We're a team that owns our work with accountability, makes data-driven decisions, embraces ... The Director, Claims Operations oversees end-to-end claims functions, including claims processing ...

We're a team that owns our work with accountability, makes data-driven decisions, embraces ... The Director, Claims Operations oversees end-to-end claims functions, including claims processing ...

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Showing results 1-20

Data Operations Director information

See Madison, WI salary details

$52.4K

$129.5K

$201.6K

How much do data operations director jobs pay per year?

As of Jul 28, 2026, the average yearly pay for data operations director in Madison, WI is $129,525.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,700.00 and $164,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Operations Director, and why are they important?

To thrive as a Data Operations Director, you need expertise in data management, analytics, process optimization, and a relevant degree such as in computer science, statistics, or information systems. Familiarity with data warehousing solutions, ETL tools, cloud platforms (like AWS or Azure), and certifications such as Certified Data Management Professional (CDMP) are commonly required. Leadership, strategic thinking, and strong communication skills are essential for driving cross-functional teams and aligning data initiatives with business goals. These capabilities ensure efficient, secure, and high-quality data operations that support informed decision-making and organizational growth.

How does a Data Operations Director typically collaborate with cross-functional teams to ensure data integrity and accessibility?

A Data Operations Director works closely with IT, data engineering, analytics, and business units to establish robust data governance practices and streamline data workflows. They often lead efforts to standardize data definitions, enforce quality controls, and implement access protocols to ensure that stakeholders across the organization can use reliable data for decision-making. Regular meetings, project management tools, and clear communication channels are essential for aligning priorities and resolving data-related issues efficiently. This cross-functional collaboration is key to maintaining high data integrity and fostering a data-driven culture.

What does a Data Operations Director do?

A Data Operations Director is responsible for overseeing the management, organization, and optimization of a company's data-related processes and teams. They ensure data quality, security, and accessibility, while aligning data management with business goals. This role often involves supervising data analysts, engineers, and other professionals, and implementing strategies for data governance and compliance. The Data Operations Director also collaborates with other departments to support data-driven decision making and operational efficiency.

What is the difference between Data Operations Director vs Data Analyst?

AspectData Operations DirectorData Analyst
Required CredentialsBachelor's or Master's in Data Science, Business, or related field; experience in data managementBachelor's in Data Science, Statistics, or related field; proficiency in data analysis tools
Work EnvironmentLeadership role overseeing data teams, strategic planningAnalyzing data sets, generating reports, supporting decision-making
Employer & Industry UsageUsed in organizations with large data operations, tech, finance, healthcareCommon across various industries for data insights and reporting

The Data Operations Director focuses on managing data teams and strategic data initiatives, while the Data Analyst concentrates on analyzing data to generate insights. Both roles require strong data skills, but differ in scope and responsibilities.

What are the most commonly searched types of Data Operations jobs in Madison, WI? The most popular types of Data Operations jobs in Madison, WI are:
What are popular job titles related to Data Operations Director jobs in Madison, WI? For Data Operations Director jobs in Madison, WI, the most frequently searched job titles are:
What job categories do people searching Data Operations Director jobs in Madison, WI look for? The top searched job categories for Data Operations Director jobs in Madison, WI are:
What cities near Madison, WI are hiring for Data Operations Director jobs? Cities near Madison, WI with the most Data Operations Director job openings:
Director of Data & AI Enablement

Director of Data & AI Enablement

Mead & Hunt

Madison, WI • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Mead & Hunt rating

7.6

Company rating: 7.6 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

272nd of 442 rated engineering


Job description

We are excited to announce that we will be undergoing a selection process for the Director of Data & AI Enablement. This role is critical to advancing enterprise data capabilities, strengthening decision-making through trusted analytics, and leading the organization's responsible adoption of modern AI technologies.
At Mead & Hunt, we take pride in being a nationally recognized, employee-owned consulting firm where leaders have a direct impact on the success of our people, clients, and communities. We foster a collaborative, values-driven culture that emphasizes trust, innovation, and long-term relationships.
As the Director of Data & AI Enablement, you will play a key role in shaping the organization's data and analytics strategy, modernizing enterprise reporting, and enabling AI-driven insights that improve business performance. You will partner closely with Finance, IT, and Operations to deliver integrated data solutions that drive measurable outcomes and operational excellence.
You will lead the enterprise vision for Generative AI, Microsoft Copilot, and large language model (LLM)-enabled capabilities, ensuring innovation is balanced with strong data governance and ERP data integrity.
Responsibilities include:
  • Leads the enterprise data, analytics, and AI/Generative AI strategy, aligning capabilities to business priorities and measurable outcomes
  • Defines and executes enterprise AI enablement strategy, including use of Microsoft Copilot, LLMs, and automation to improve business performance
  • Owns enterprise reporting and analytics across ERP (Dynamics 365/aec360) and broader operational systems
  • Establishes and maintains scalable Power BI reporting and KPI frameworks to ensure consistent, trusted insights
  • Defines and matures a modern enterprise data platform (Microsoft Fabric/Azure) integrating ERP, operational, and system data
  • Establishes and enforces enterprise data governance, data quality, and stewardship practices across business and IT
  • Ensures AI solutions are built on trusted, governed ERP and enterprise data sources to protect data integrity
  • Enables AI and advanced analytics use cases, including predictive insights, AI-driven automation, and operational improvements
  • Drives adoption of Power Platform tools (Power Apps, Power Automate) for business and system workflow automation
  • Develops and leads cross-functional teams spanning data engineering, analytics, and enterprise applications
  • Partners with Finance, IT, and Operations leadership to prioritize and deliver high-value data initiatives
  • Establishes intake, prioritization, and delivery processes for data, reporting, and AI work
  • Monitors adoption, performance, and value delivery of enterprise data and analytics solutions
  • Other duties as assigned

This position may require travel, overnight stays, and occasional evening or weekend work as assigned.
Successful candidates will have all of the following:
  • Bachelor's degree in business, Computer Science, Information Systems, or a related field and ten (10+) years of progressive experience in Information Technology, including leadership roles
  • Proven experience leading enterprise data, analytics, and AI/digital transformation initiatives
  • Strong expertise in Power BI and enterprise reporting frameworks
  • Experience implementing data governance and data quality programs
  • Demonstrated ability to lead cross-functional initiatives across Finance, IT, and Operations
  • Hands-on experience building or leading modern data platforms (Microsoft Fabric, Azure, or similar)
  • Experience defining and executing enterprise AI strategy, including Generative AI, Copilot, or LLM-based solutions

Ideal candidates will have any/all of the following:
  • Background in AEC or project-based professional services environments with utilization, project profitability, and ERP-driven operations
  • Experience building or leading modern data platforms (Microsoft Fabric, Azure, or similar)
  • Background in professional services including engineering
  • Experience integrating multiple enterprise systems (ERP, operational, and system data)
  • Experience developing AI strategies or leading AI enablement initiatives
  • Experience leading ERP reporting modernization or transformation efforts

If you have strong communication and organizational skills, are self-motivated, and can work well both independently and as part of a team, complete the online application process for this job posting at www.meadhunt.com/careers.
Mead & Hunt proudly offers medical, dental, and vision insurance, paid time off, paid sick leave, parental leave, a 401K plan with a generous company match, life and disability insurance, and an employee assistance program.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.
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