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

Pro Mach, Inc.

Director of Operations

Middleton, WI · On-site

... Director of Operations. In this role, you'll be involved in both strategic planning and day-to-day ... These components, along with local and national compensation survey data, contribute to deciding a ...

Promachbuilt

Director of Operations

Middleton, WI

... Director of Operations. In this role, you'll be involved in both strategic planning and day-to-day ... These components, along with local and national compensation survey data, contribute to deciding a ...

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All JobsOf Data Operations JobsDirector Of Data Operations JobsDirector Of Data Operations Jobs in Madison, WI

Director Of Data Operations information

See Madison, WI salary details

$52.4K

$129.6K

$201.7K

How much do director of data operations jobs pay per year?

As of Aug 11, 2026, the average yearly pay for director of data operations in Madison, WI is $129,598.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,800.00 and $164,900.00 per year, depending on experience, location, and employer.

What are the primary challenges faced by a director of data operations, and how can they be addressed?

A Director of Data Operations often encounters challenges such as integrating data from diverse sources, ensuring data quality, and maintaining compliance with data governance standards. To address these, it's important to implement robust data management frameworks, foster collaboration between IT, analytics, and business teams, and stay current with evolving regulations. Building a skilled team and investing in automation tools can also streamline operations and enhance data reliability.

What are the key skills and qualifications needed to thrive as a director of data operations, and why are they important?

To thrive as a Director Of Data Operations, you need expertise in data management, analytics, and team leadership, often backed by a degree in computer science, information systems, or a related field. Familiarity with data warehousing solutions, ETL tools, cloud platforms, and industry certifications such as CDMP or PMP is highly beneficial. Strong communication, strategic thinking, and problem-solving skills set successful candidates apart in this leadership role. These skills ensure efficient data operations, drive business insights, and foster collaboration across technical and non-technical teams.

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

AspectDirector Of Data OperationsData Analyst
Required CredentialsBachelor's or master's in data management, business, or related field; often certifications in data management or analyticsBachelor's degree in statistics, mathematics, or related field; certifications like Microsoft Excel, Tableau, or SQL
Work EnvironmentLeadership role overseeing data teams, strategic planning, and data infrastructure managementAnalyzing data sets, creating reports, and supporting decision-making through data insights
Employer & Industry UsageUsed in corporate, tech, and data-driven organizations to manage data operations at a high levelCommon in various industries for data analysis, reporting, and supporting business functions

The main difference is that the Director Of Data Operations oversees data management strategies and teams, focusing on high-level operations, while a Data Analyst primarily analyzes data to generate insights and reports. The roles complement each other but differ in scope and responsibilities.

What does a director of data operations do?

A Director of Data Operations is responsible for overseeing the management, quality, and security of an organization's data assets. They lead teams that handle data governance, integration, and analytics, ensuring that data systems support business goals efficiently and securely. This role involves collaborating with IT, analytics, and business departments to develop data strategies, implement best practices, and maintain compliance with regulations. Additionally, they often drive initiatives to improve data accessibility and accuracy across the organization.
What job categories do people searching Director Of Data Operations jobs in Madison, WI look for? The top searched job categories for Director Of Data Operations jobs in Madison, WI are:
What cities near Madison, WI are hiring for Director Of Data Operations jobs? Cities near Madison, WI with the most Director Of Data Operations job openings:
Director Of Data Operations jobs near you
Infographic showing various Director Of Data Operations job openings in Madison, WI as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, 1% Temporary, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $129,598 per year, or $62.3 per hour.

Director of Data & AI Enablement

Mead & Hunt

Madison, WI • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 24 days ago

Mead & Hunt rating

7.6

Company rating: 7.6 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

275th of 446 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.
Employment is contingent upon successful completion of applicable pre-employment screening requirements.
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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