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Generative Ai Insurance Jobs in Milwaukee, WI (NOW HIRING)

Rockwell Automation

AI Delivery Manager

Milwaukee, WI · Hybrid

This role will design, develop, and operationalize Generative AI (GenAI) and Large Language Model ... Health Insurance including Medical, Dental and Vision * 401k * Paid Time off * Parental and ...

Deloitte

BPO/BPaaS Manager

Milwaukee, WI · On-site

... Generative AI, transformative technologies, and creative design. We can enhance customer ... Leading insurance-focused operate and implementation engagements across business process ...

Cccis

Vehicle Inventory Rep & Auditor

Saint Francis, WI · On-site

... insurance economy , creating intelligent experiences for insurers, repairers, automakers, part ... Candidates are not permitted to use generative AI or automated assistance during the interviews ...

Cccis

Vehicle Inventory Rep & Auditor

Milwaukee, WI · On-site

... insurance economy , creating intelligent experiences for insurers, repairers, automakers, part ... Candidates are not permitted to use generative AI or automated assistance during the interviews ...

Cccis

Vehicle Inventory Rep & Auditor

Milwaukee, WI

... insurance economy , creating intelligent experiences for insurers, repairers, automakers, part ... Candidates are not permitted to use generative AI or automated assistance during the interviews ...

TEKsystems

Cyber Security Engineer

Milwaukee, WI

$80K - $100K/yr

... governing generative-AI tools (e.g., Microsoft 365 Copilot) and detecting Shadow AI. • ... vision insurance • Paid time off (PTO) and holidays • Company-paid parking • Company-paid ...

Athletico

Physical Therapist

Burlington, WI · On-site

$78K/yr

Athletico clinicians are supported by Generative AI Documentation Scribe - purpose-built AI ... Supplemental Life Insurance (Employee, Spouse, Child) * Company Paid Short-Term & Long-Term ...

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Generative Ai Insurance information

How does a role in Generative AI Insurance typically collaborate with underwriters and data scientists?

Professionals in Generative AI Insurance often work closely with underwriters to analyze risk profiles and automate policy generation using advanced AI models. Collaboration with data scientists is also essential, as they help develop, test, and refine algorithms that can accurately assess claims, detect fraud, and personalize insurance offerings. This cross-functional teamwork ensures that AI solutions are both technically robust and aligned with industry regulations and business goals, providing opportunities to learn from various experts and contribute to innovative insurance products.

What is the difference between Generative Ai Insurance vs Data Scientist?

AspectGenerative Ai InsuranceData Scientist
Required CredentialsTypically requires knowledge of AI, machine learning, insurance policies, and data analysisRequires degrees in computer science, statistics, or related fields; often certifications in data analysis or machine learning
Work EnvironmentInsurance companies, AI firms, or tech departments within insurersTech companies, financial institutions, or insurance firms
Industry UsageDevelops AI models to automate insurance underwriting, claims, and risk assessmentAnalyzes data to extract insights, build predictive models, and inform business decisions

Generative Ai Insurance professionals focus on creating AI systems that generate content or automate insurance processes, while Data Scientists analyze data to inform strategies. Both roles require technical skills but differ in application and industry focus.

What is a Generative AI Insurance professional?

A Generative AI Insurance professional specializes in developing, managing, or implementing generative artificial intelligence solutions within the insurance industry. This role involves using advanced AI models to automate processes such as underwriting, claims processing, risk assessment, and customer service. These professionals work to optimize operations and improve decision-making by leveraging machine learning and data analysis. They also help ensure that AI-driven tools comply with regulatory standards and ethical guidelines.

What are the key skills and qualifications needed to thrive as a Generative AI Insurance specialist, and why are they important?

To thrive as a Generative AI Insurance Specialist, you need expertise in data analysis, machine learning, and a solid understanding of insurance products and risk assessment, usually backed by a degree in data science, actuarial science, or a related field. Familiarity with AI development frameworks (such as TensorFlow or PyTorch), insurance-specific analytics platforms, and relevant certifications like CPCU or data science credentials are typically required. Strong problem-solving, communication, and adaptability skills help bridge technical solutions with business needs and client expectations. These competencies ensure innovative, accurate risk modeling and effective implementation of AI solutions within the insurance sector.
What are popular job titles related to Generative Ai Insurance jobs in Milwaukee, WI? For Generative Ai Insurance jobs in Milwaukee, WI, the most frequently searched job titles are:
What job categories do people searching Generative Ai Insurance jobs in Milwaukee, WI look for? The top searched job categories for Generative Ai Insurance jobs in Milwaukee, WI are:
Generative Ai Insurance jobs near you
Infographic showing various Generative Ai Insurance job openings in Milwaukee, WI as of June 2026, with employment types broken down into 1% As Needed, 93% Full Time, 5% Part Time, and 1% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.

Sr Director Enterprise Data & AI Architecture

Northwestern Mutual Life Insurance Company

Milwaukee, WI • On-site

Full-time

Posted 14 days ago

Northwestern Mutual rating

8.0

Company rating: 8.0 out of 10

Based on 73 frontline employees who took The Breakroom Quiz

163rd of 304 rated insurance

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 the organization, and who have different areas of expertise, to achieve common goals.
  • Enterprise Architecture: Applies knowledge to create conceptual blueprints that define the structure and operation of an organization. Supports and develops recommendations to its infrastructure to adjust policies and projects to achieve target business outcomes and value. Enterprise Architecture: Applies knowledge to create conceptual blueprints that define the structure and operation of an organization. Supports and develops recommendations to its infrastructure to adjust policies and projects in order to achieve target business outcomes and value.
  • Strategic Vision & Planning: Develops, defines, and executes strategic vision for the team and business function they manage with an understanding of the enterprise's goals as a people manager; defines business planning, strategy formulation, and management engine to support strategic vision. Strategic Vision & Planning: Develops, defines, and executes strategic vision for the team and business function they manage with an understanding of the enterprise's goals as a people manager; defines business planning, strategy formulation, and management engine to support strategic vision.
  • Talent Development & Planning: Develops direct reports' skills based on organizational objectives, evaluates skill gaps, and manages succession planning to develop more capable direct reports, diverse, strong teams and better organizational performance in an equitable and inclusive manner. Talent Development & Planning: Develops direct reports' skills based on organizational objectives, evaluates skill gaps, and manages succession planning to develop more capable direct reports, diverse, strong teams and better organizational performance in an equitable and inclusive manner.

Compensation Range:
Pay Range - Start:
$176,000.00
Pay Range - End:
$264,000.00
Geographic Specific Pay Structure:
Structure 110:
$193,600.00 USD - $290,400.00 USD
Structure 115:
$202,400.00 USD - $303,600.00 USD
We believe in fairness and transparency. It's why we share the salary range for most of our roles. However, final salaries are based on a number of factors, including the skills and experience of the candidate; the current market; location of the candidate; and other factors uncovered in the hiring process. The standard pay structure is listed but if you're living in California, New York City or other eligible location, geographic specific pay structures, compensation and benefits could be applicable, click here to learn more.
Grow your career with a best-in-class company that puts our clients' interests at the center of all we do. Get started now!
Northwestern Mutual is an equal opportunity employer that welcomes talented individuals of all backgrounds. We are committed to creating and maintaining an environment in which each employee can contribute creative ideas, seek challenges, assume leadership and continue to focus on meeting and exceeding business and personal objectives.

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About Northwestern Mutual

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Northwestern Mutual has been helping families and businesses achieve financial security for over 160 years through a distinctive planning approach that integrates risk management with wealth accumulation, preservation, and distribution. With more than $290 billion in assets, $30 billion in revenues and more than $1.9 trillion worth of life insurance protection in force, Northwestern Mutual delivers financial security to more than 4.6 million clients. People are the power behind Northwestern Mutual, and diversity makes us better. We are committed to reflecting and serving the marketplace. We do so by attracting and improving the engagement of those who bring their outstanding perspectives, ideas, and beliefs.

Industry

Finance and insurance

Company size

5,001 - 10,000 Employees

Headquarters location

Milwaukee, WI, US

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