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Data Analytics Director Jobs in Wisconsin (NOW HIRING)

Data & Reporting Analyst

Milwaukee, WI · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Develop dashboards and HR analytics that provide leadership with meaningful workforce insights ... Requests for accommodation related to our application process can be directed to the Kelly Human ...

Amy Kind and Deputy Directors Drs. Nicole Rogus-Pulia and Andrea Gilmore-Bykovskyi, invites ... Implements data analysis steps in collaboration with data scientists, statisticians, and/or other ...

Data & Reporting Analyst

Milwaukee, WI · On-site

$30 - $32/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Experience with Workday PRISM Analytics is a plus. * Strong analytical, troubleshooting, and ... Requests for accommodation related to our application process can be directed to the Kelly Human ...

DIRECTOR - SYSTEM MARKETING

Wausau, WI · On-site

  • Medical

  • Retirement

  • PTO

The Director - System Marketing provides strategic leadership for the development, implementation ... Skilled at market and data analytics, and strategic marketing planning. * Proven success in ...

Reporting to the Director of Operations Business Systems & Data Strategy, this role translates the organization's data and analytics strategy into day-to-day execution -- managing people, priorities ...

Data Architect

Fond Du Lac, WI · On-site

$100 - $130/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Overview Protecting our policyholders' dreams, passions, and livelihoods has a direct impact on the ... You are analytical and connect data across systems to support business insight and ...

Please note that this is a (contract/contract to hire/direct hire) opportunity with our client and NOT with NRI. Summary As a Solution Architect on the Data Analytics Data Platform (DADP) team, you ...

WI · On-site

$175 - $195/hr

... direct sales with our Federal Customers. We are seekinghigh-performance candidateswith atrack ... Candidatesmusthaveasolidbackgroundin the dataintegration,data analytics,anddata managementspace ...

Data Engineer - Senior Associate

Milwaukee, WI · On-site

$77K - $202K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... analytics and visualization - Implementing data security best practices to protect sensitive information and maintain compliance - Applying dimensional modeling and directed acyclic graphs (DAGs) for ...

This role serves as subject matter expert on eCommerce data analytics and online shopper behavior ... directed environment. JOB REQUIREMENTS • Position is Full-Time, usually regular business hours ...

... analytics budget in some implementing data sciences solution - with minimal to no returns. Role: Data Scientist Location: Madison, WI Full Time (Direct Hire) • 5+ Years of total experience and 2-4 ...

... analytics budget in some implementing data sciences solution - with minimal to no returns. Role: Data Scientist Location: Madison, WI Full Time (Direct Hire) 5+ Years of total experience and 2-4 ...

Showing results 41-60

Data Analytics Director information

See Wisconsin salary details

$71.7K

$159.6K

$246.8K

How much do data analytics director jobs pay per year?

As of Aug 14, 2026, the average yearly pay for data analytics director in Wisconsin is $159,595.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,000.00 and $181,700.00 per year, depending on experience, location, and employer.

What is the difference between Data Analytics Director vs Data Scientist?

AspectData Analytics DirectorData Scientist
Required CredentialsBachelor's or Master's in Data Science, Business, or related field; often requires leadership experienceBachelor's, Master's, or Ph.D. in Data Science, Statistics, or related field; technical expertise in modeling
Work EnvironmentLeadership role overseeing analytics teams, strategic planning, and project managementHands-on data analysis, model development, and algorithm implementation
Employer & Industry UsageUsed in corporate, finance, healthcare, and tech sectors for strategic decision-makingCommon in tech, research, and analytics firms for developing data models and insights

The main difference is that a Data Analytics Director focuses on leading analytics teams and strategic initiatives, while a Data Scientist is primarily involved in technical data modeling and analysis. Both roles require strong analytical skills, but the Director role emphasizes leadership and business strategy.

What are the key skills and qualifications needed to thrive as a Data Analytics Director?

To thrive as a Data Analytics Director, you need advanced expertise in data analysis, statistical modeling, and business intelligence, typically supported by a relevant degree and significant experience in analytics leadership. Familiarity with tools such as SQL, Python, R, and data visualization platforms like Tableau or Power BI, along with knowledge of data governance and cloud technologies, is essential. Exceptional leadership, strategic thinking, and communication skills help drive cross-functional collaboration and translate data insights into business value. These competencies are crucial for guiding analytic strategy, ensuring data-driven decision-making, and maximizing organizational impact.

What does a Data Analytics Director do?

A Data Analytics Director is responsible for overseeing the data analytics department within an organization. They lead teams that collect, process, and interpret large sets of data to provide actionable insights for business decision-making. This role involves developing data strategies, implementing analytical tools and techniques, and ensuring data quality and security. The Data Analytics Director also collaborates with other departments to align analytics initiatives with organizational goals and drive data-driven growth.

What are some common challenges faced by a Data Analytics Director when aligning analytics initiatives with business objectives?

A Data Analytics Director often encounters challenges in ensuring that analytics projects are closely aligned with the strategic goals of the organization. This includes bridging communication gaps between technical teams and business stakeholders, prioritizing projects with the highest business impact, and managing expectations regarding what data analytics can deliver. Additionally, it can be challenging to foster a data-driven culture across departments and to secure buy-in for data initiatives. Effective collaboration, clear communication, and a strong understanding of both analytics and business priorities are essential to overcome these hurdles.

What are the most commonly searched types of Data Analytics jobs in Wisconsin?

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

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

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

What job categories do people searching Data Analytics Director jobs in Wisconsin look for?

The top searched job categories for Data Analytics Director jobs in Wisconsin are:

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

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

Infographic showing various Data Analytics Director job openings in Wisconsin as of August 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 100% In-person job distribution, with an average salary of $159,595 per year, or $76.7 per hour.

Sr Director Enterprise Data & AI Architecture

PVH (Tommy Hilfiger/Calvin Klein)

Milwaukee, WI • On-site

$190 - $260/hr

Other

This job post has expired today. Applications are no longer accepted.


PVH Corp. rating

6.3

Company rating: 6.3 out of 10

Based on 7 frontline employees who took The Breakroom Quiz


Job description

About the Role:

The Senior Director, Enterprise Data & AI Architecture is a senior leadership role within Northwestern Mutual's Enterprise Architecture (EA) organization. Enterprise Architecture partners with business and technology leaders to define the firm's long-term technology direction, ensure alignment across domains, and guide the evolution of our platforms and capabilities in support of enterprise strategy.

In this role, you will lead the enterprise vision and execution strategy for data, analytics, and artificial intelligence architecture, including AI/ML and generative AI. You will work across technology and business domains to advance modern, secure, and scalable data and AI capabilities while ensuring strong governance, risk alignment, and architectural integrity.

This is an opportunity for a proven architecture leader to expand enterprise influence, shape critical modernization efforts, and develop senior architectural talent while helping Northwestern Mutual responsibly harness data and AI to deliver value for clients, advisors, and employees.

What You Will Do:

Enterprise Data & AI Architecture Leadership

Define and evolve the enterprise data and AI target-state architecture , ensuring alignment with business strategy and enterprise technology priorities.

Establish and maintain enterprise standards, reference architectures, and architectural principles for data platforms, analytics, AI/ML, and generative AI.

Drive alignment of domain and solution architectures to enterprise direction through influence, partnership, and architectural governance.

AI Enablement, Governance & Risk Partnership

Partner closely with Enterprise Architecture, Cybersecurity, Legal, Risk, and Compliance to ensure responsible AI adoption across the enterprise.

Define architectural guardrails, design patterns, and governance standards for AI/ML and GenAI, including data access, model usage, auditability, and reliability.

Balance innovation with risk management by enabling experimentation within clear enterprise boundaries.

Cross-Enterprise Collaboration & Influence

Act as a trusted architecture advisor to senior technology and business leaders.

Collaborate with application, data, platform, and infrastructure architects to drive cohesive, end-to-end enterprise solutions.

Represent enterprise data and AI architecture in architecture reviews, investment discussions, and strategic planning forums.

Team Leadership & Talent Development

Lead and develop a team of enterprise data and AI architects, setting clear priorities, expectations, and performance goals.

Coach and mentor senior architects to strengthen enterprise thinking, communication skills, and architectural judgment.

Build an inclusive, collaborative culture that encourages innovation, accountability, and continuous learning.

Execution Oversight & Modernization

Provide architectural oversight to ensure delivery efforts align with enterprise standards and long-term objectives.

Guide modernization initiatives, including migration to cloud-based platforms and adoption of modern data and AI technologies.

Promote platform reuse, standardization, and data quality improvements to increase enterprise agility and scalability.

What You'll Bring to the Role:

15+ years of experience in enterprise architecture, data architecture, or related technology disciplines.

5+ years of experience leading architecture or technology teams in a complex, matrixed organization.

Deep expertise in modern data platforms, analytics, cloud technologies, and AI/ML including generative AI.

Strong understanding of data governance principles and practical approaches to improving governance maturity.

Proven ability to influence across organizational boundaries and drive alignment on enterprise technology direction.

Demonstrated success by translating complex technical concepts into clear, actionable guidance for senior leaders.

Strong leadership, communication, strategic thinking, and problem-solving skills.

Skills You'll Have:

Architecture & Technology Planning: Designs and maintains business object models to support future-state applications. Assesses the impact of the future business architecture on existing and future applications architecture. Identifies and balances between constraints and objectives. Architecture & Technology Planning: Designs and maintains business object models to support future-state applications. Assesses the impact of the future business architecture on existing and future applications architecture. Identifies and balances between constraints and objectives.

Cross Functional Partnering & Planning: Facilitates collaboration, communication, coordination, and planning with individuals and teams from different functions within the organization, and who have different areas of expertise, to achieve common goals. Cross Functional Partnering & Planning: Facilitates collaboration, communication, coordination, and planning with individuals and teams from different functions within

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