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Data Integration Jobs in Wisconsin (NOW HIRING)

trane technologies

Senior Data Modeler

La Crosse, WI · On-site

Data Integration & System Design * Design and document data integration patterns across systems (ERP, CRM, data lake, warehouse, etc.). * Align data models to support MDM, data mesh, data fabric, and ...

Pwc

Data Engineer - Senior Associate

Milwaukee, WI

$77K - $202K/yr

You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Focused on relationships, you are building meaningful client connections ...

CFS

Senior Data Engineer

Madison, WI

$150K/yr

Migrate legacy SSIS packages to modern Databricks solutions * Maintain and optimize existing SSIS packages and SSRS reports * Participate in data warehouse design and implementation * Implement data ...

Apex Systems

Data Architect

Madison, WI · Remote

$65 - $90/hr

Lead data integration efforts across multiple systems, ensuring effective integration from multiple sources into centralized platforms. * Collaborate with DevOps and engineering teams to implement ...

Cielo

Senior Director - Client Data Solutions

Wauwatosa, WI · Remote

$103K - $139K/yr

Define and execute the organization's data integration and client data strategies, spanning integrations, data platform, and reporting enablement. * Establish KPIs to measure data platform ...

Cielo

Senior Director - Client Data Solutions

Wauwatosa, WI · On-site +1

$103K - $139K/yr

Define and execute the organization's data integration and client data strategies, spanning integrations, data platform, and reporting enablement. * Establish KPIs to measure data platform ...

Fielmann USA

Data Engineer I

Green Bay, WI · On-site

$111K - $133K/yr

... integrations from various data sources into the data ecosystem • Assist in maintaining connections with internal and external APIs • Support data ingestion processes for structured and ...

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$10

$52

$84

How much do data integration jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for data integration in Wisconsin is $52.17, according to ZipRecruiter salary data. Most workers in this role earn between $43.89 and $58.70 per hour, depending on experience, location, and employer.

What are the typical daily responsibilities of someone working in Data Integration?

Data Integration professionals are often responsible for designing, developing, and maintaining ETL pipelines that transfer and transform data between different systems. Their day-to-day tasks may include analyzing data sources, troubleshooting data inconsistencies, optimizing integration workflows, and creating documentation for data processes. Collaboration is frequent, as they work closely with database administrators, data analysts, and business stakeholders to ensure data accuracy and availability. Staying updated with evolving tools and best practices also forms a key part of their ongoing responsibilities.

What is a Data Integration job?

A Data Integration job involves combining data from different sources into a unified view for analysis, reporting, and operational use. Professionals in this role design, develop, and maintain data pipelines to ensure seamless data flow between systems. They often work with ETL (Extract, Transform, Load) processes, APIs, and cloud platforms to facilitate integration. Strong skills in SQL, data modeling, and tools like Informatica, Talend, or Apache Nifi are commonly required. Their goal is to ensure data accuracy, consistency, and availability for business and analytical use.

What is the highest paying job in data?

In data-related fields, executive roles such as Chief Data Officer (CDO) or Chief Data Scientist tend to be the highest paying, often earning six-figure salaries or more depending on the industry and company size. These roles require extensive experience, leadership skills, and expertise in data strategy, governance, and analytics tools.

Is AI replacing data entry jobs?

AI is automating many data entry tasks by using tools like optical character recognition (OCR) and machine learning algorithms, which can increase efficiency and reduce manual labor. However, data entry jobs that require judgment, accuracy, and handling complex or unstructured data still rely on human workers, and many roles involve oversight and validation of AI outputs.

What does data integration work?

Data integration work involves combining data from different sources into a unified view to support analysis, reporting, or operational processes. Data integration specialists use tools like ETL (Extract, Transform, Load) software and SQL to ensure data consistency, accuracy, and accessibility across systems. This role often requires knowledge of databases, scripting, and data management best practices.

What are the key skills and qualifications needed to thrive in the Data Integration position, and why are they important?

To thrive as a Data Integration professional, you need strong knowledge of data management principles, proficiency in SQL, ETL processes, and experience with data warehousing concepts, often supported by a bachelor's degree in computer science or a related field. Familiarity with integration platforms such as Informatica, Talend, or Microsoft SSIS, as well as certifications like Certified Data Management Professional (CDMP), are commonly beneficial. Excellent problem-solving, communication, and collaboration skills help manage complex projects and liaise with stakeholders across technical and business teams. These abilities are crucial for ensuring seamless, accurate data flow that supports informed business decisions and operational efficiency.

Is data integration a good career?

Data integration is a viable career path involving combining data from different sources to ensure consistency and accessibility. It requires skills in database management, ETL tools, and programming languages like SQL or Python, with opportunities in various industries such as finance, healthcare, and technology. The role often offers steady demand and potential for advancement as organizations increasingly rely on integrated data systems.
What are popular job titles related to Data Integration jobs in Wisconsin? For Data Integration jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Data Integration jobs in Wisconsin look for? The top searched job categories for Data Integration jobs in Wisconsin are:
Data Integration jobs near you
Executive Director, AI and Enterprise Data Management

Executive Director, AI and Enterprise Data Management

Arrowhead Pharmaceuticals

Madison, WI • On-site

Full-time

Posted 23 days ago

Job description

Job Summary:
Arrowhead Pharmaceuticals, Inc. is a commercial stage biopharmaceutical company focused on developing innovative drugs for diseases with a genetic basis. The Executive Director of AI and Enterprise Data Management will lead the strategy, development, and deployment of enterprise-wide data and AI capabilities to enhance innovation and operational efficiency across the organization.
Responsibilities:
• Define and execute a unified enterprise data and AI strategy aligned with company growth and R&D and commercialization goals
• Identify high-impact AI and data opportunities across all functions (R&D, Clinical, CMC, Manufacturing, G&A and etc.)
• Drive executive alignment on AI and data strategy, including opportunities, risks, and investment priorities
• Lead the design and implementation of an enterprise data platform enabling data integration across R&D, CMC, Clinical, and commercial domains
• Establish scalable data architecture to support real-time pipelines, advanced analytics, machine learning, agentic AI workflows, and AI-driven insights
• Enable interoperability and data sharing across previously siloed systems
• Define and own the enterprise AI acceptable-use policy, responsible AI framework, and guardrails for LLM deployment in regulated (GxP) workflows
• Ensure alignment with emerging regulatory guidance on AI/ML (FDA AI framework, NIST AI RMF, ISO 42001) and maintain audit-ready documentation for AI systems in regulated contexts
• Establish AI model lifecycle governance including validation, performance monitoring (LLMOps), and deprecation procedures
• Partner with Legal, Compliance, and Information Security to manage AI vendor risk and data privacy obligations
• Establish enterprise data governance frameworks including ownership, stewardship, data classification, quality standards, and lifecycle management
• Ensure compliance with regulatory requirements including GMP, GLP, GCP, SOX and data integrity standards
• Partner with Information Security to implement robust data protection, privacy, and AI governance guardrails
• Partner with IS and business function leaders to identify opportunities for data integration and AI-driven value creation
• Act as a bridge between technical and non-technical stakeholders to ensure adoption and impact
• Partner with business and IS leaders to prioritize, design, and deploy AI solutions that improve decision-making and operational efficiency
• Oversee development and scaling of AI agents and technology across functions such as Commercial, Finance, HR, and Legal
• Manage strategic relationships with AI vendors and development partners, including contracting, performance oversight, and alignment to enterprise standards
• Ensure all AI tools and vendors comply with security, data governance, and regulatory requirements in partnership with Information Security and Legal
• Build and lead a high-performing, multidisciplinary team spanning data engineering, data science, AI/ML, and informatics
• Integrate and scale the existing digital workspace/agent experimentation team into a formal enterprise function
• Foster a culture of innovation, collaboration, and continuous learning
Qualifications:
Required:
• 12+ years of experience in data, analytics, AI/ML, or informatics leadership roles
• Bachelor’s degree in Computer Science, Data Science, Engineering, Life Sciences, or a related field.
• Proven experience building and scaling enterprise data platforms and AI capabilities
• Experience in life sciences, biotechnology, pharmaceutical industry, or technology industry
• Demonstrated success operating in regulated environments
• Experience supporting commercial-stage organizations or scaling companies
• Deep understanding of modern data architectures, cloud platforms, and AI/ML technologies
• Strong business acumen with ability to translate strategy into execution
• Experience leading cross-functional transformation initiatives
• Ability to balance innovation with risk management and compliance
Preferred:
• Advanced Degree in Data Science, Engineering, Life Sciences or Business.
• Pharmaceutical industry experience
Company:
Arrowhead Pharmaceuticals is a biotechnology company that focuses on the development of medicine to treat diseases with a genetic origin. Founded in 1989, the company is headquartered in Pasadena, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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