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Data Operations Director Jobs in Wisconsin (NOW HIRING)

WI · On-site

Develop and present data models to transform business data into information that will assist in ... Perform special projects and tasks as assigned by the Sales Operations Director Position ...

WI · On-site

... OCI data centers. Reporting to the Senior Critical Facilities Manager , this role owns electrical ... Support the Site Operations Director with status reporting, operational risk visibility, staffing ...

WI · On-site

Director of Campus Operations Location: Texas | Travel: Approximately 70% Lead. Develop. Transform ... Analyze KPIs and campus data to identify trends, root causes, risks, and opportunities. * Develop ...

WI · On-site

The Data Center Operations Manager / Site Lead serves as the senior onsite leader responsible for ... Direct daily operational priorities while balancing customer requests, project activities ...

WI · On-site

Maven is looking for a Director of Marketing Operations who will own the systems, data, and ... Data governance: maintain data dictionaries and definitions (MQL/MQA thresholds, pipeline vs ...

Showing results 41-60

Data Operations Director information

See Wisconsin salary details

$52.5K

$129.7K

$201.9K

How much do data operations director jobs pay per year?

As of Sep 14, 2026, the average yearly pay for data operations director in Wisconsin is $129,728.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,900.00 and $165,000.00 per year, depending on experience, location, and employer.

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.

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 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.

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 Wisconsin?

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

What are popular job titles related to Data Operations Director jobs in Wisconsin?

For Data Operations Director jobs in Wisconsin, the most frequently searched job titles are:

What cities in Wisconsin are hiring for Data Operations Director jobs?

Cities in Wisconsin with the most Data Operations Director job openings:

Infographic showing various Data Operations Director job openings in Wisconsin as of September 2026, with employment types broken down into 86% Full Time, and 14% Temporary. Highlights an 100% In-person job distribution, with an average salary of $129,728 per year, or $62.4 per hour.

Data Automation Manager

Milwaukee, WI • On-site

Other

Re-posted 15 hours ago


Job description

## Data Automation ManagerApplylocations: Milwaukee, WItime type: Full timeposted on: Posted Yesterdayjob requisition id: REQ-2026-2502**Position Summary:**Direct Supply is building the future of healthcare technology with industry-leading products, solutions and platforms to help improve the lives of millions of seniors and those who care for them.In the Data Automation Manager position, you’ll transform manual sales, marketing, CRM, and customer data processes into scalable, automated workflows that improve accuracy, reduce operational effort, and unlock actionable insights. You’ll design and implement AI-powered automation solutions using machine learning, intelligent APIs, and external data sources to enrich customer and prospect data, strengthen data governance, and improve the usability of information that supports demand generation, sales effectiveness, and business growth. This role requires a highly technical individual contributor with a strong AI-first mindset and a passion for solving complex data challenges with innovative, future-ready solutions.**Skills Needed:*** **Provides Customer Value** - Delivers cutting-edge, tech-driven solutions paired with outrageous customer service with an eye to profitability. Seizes opportunities that reward both the customer and DS, fostering robust customer relationships.* **Applies AI and Technology** - Identifies opportunities to boost efficiency and add value using AI and tech. Embraces and applies digital innovations and tech solutions to build business. Eagerly learns and integrates new technologies where they matter most.* **Optimizes Work Processes** - Streamlines workflows by harnessing data, AI, and technology. Identifies opportunities for efficiency and incorporates new processes and technology. Defines new success measures.* **Makes Quality Decisions** - Makes swift and sound decisions that propel objectives forward. Hunts for crucial qualitative and quantitative data. Balances thorough analysis with wisdom, experience, and judgment for informed decision-making.* **Delivers Results** - Seizes new opportunities and tackles challenges head-on with urgency. Takes initiative and consistently hits goals. Zeroes in on key priorities for results. Drives progress through uncertainty and moves others to action.**What You’ll Do and Impact:*** Lead the design, development, and deployment of scalable data automation workflows that replace manual data quality, enrichment, and hygiene processes* Partner with cross-functional teams (Data Engineering, CRM, Analytics, Marketing, Sales Operations) to identify data challenges and define automation requirements* Collaborate with Data Engineering, Database, and Architecture teams to architect, develop, and deploy scalable automation, AI, and data quality solutions that support current business needs and future-state data capabilities* Design and implement AI-powered solutions leveraging automation tools, APIs, and machine learning to improve data accuracy, consistency, deduplication, and completeness* Build and maintain integrations with third-party data enrichment platforms (e.g., ZoomInfo, Clearbit) and AI-driven tools to continuously enhance enterprise data* Apply generative AI and intelligent APIs to enable advanced data matching, classification, enrichment, and correction* Establish monitoring, alerting, and feedback mechanisms to ensure automated data processes remain accurate, reliable, and scalable over time* Collaborate with Database and Architecture teams to ensure alignment with enterprise data standards, governance, and security practices* Define and track key performance metrics (e.g., data quality, efficiency gains, error reduction, ROI) to measure impact and drive continuous improvement* Develop and scale self-service automation tools, frameworks, and best practices to enable broader adoption across teams* Provide training, documentation, and ongoing support to Partners to maximize adoption and effectiveness of automated data solutions**Experience:*** 5–8+ years of experience in data quality, data automation, data operations, or related technical roles* Strong hands-on experience with SQL and Python, or equivalent automation and scripting technologies* Proven experience designing, building, and supporting automated, AI-driven workflows that improve data quality, efficiency, and reliability* Experience building and maintaining integrations with APIs, web services, and external data sources* Experience defining data quality metrics and operationalizing monitoring, observability, or alerting processes* Proven ability to collaborate and influence cross-functional stakeholders across teams such as Analytics, Data Engineering, CRM, Marketing, and Sales Operations**Additional Items of Interest:*** Experience applying machine learning, generative AI, or advanced automation techniques within data workflows, including entity resolution, data enrichment, anomaly detection, or data correction* Experience with modern data platforms such as Databricks, Snowflake, Azure Synapse, or similar cloud-based analytics environments* Experience with data orchestration, transformation, and integration tools such as Apache Airflow, dbt, Fivetran, Power Automate, or similar technologies* Experience working with third-party enrichment and data intelligence platforms such as ZoomInfo, Clearbit, Data Axle, or similar providers* Experience in healthcare, senior living, or other data-intensive B2B environments* Knowledge of workflow governance, auditing, compliance controls, and SLA-driven automation* Experience creating training materials, operational documentation, and supporting adoption of new processes and technologies* Certifications in data engineering, cloud platforms, automation technologies, artificial intelligence, or machine learning*Job to be performed in the location listed. Generous benefit package available.* #J-18808-Ljbffr