Senior Manager, Applied AI

American Family Insurance

. Lead a team within Applied AI delivering AI/ML solutions into business workflows with measurable business value .

Posted 11/2/2026full-timeUnited StatesSenior💰 $150,000 - $255,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading teams to deliver AI/ML solutions that drive measurable business value, with a strong focus on architecture, design, and operational ownership. Proficient in translating complex technical concepts into actionable plans while ensuring compliance and continuous improvement.

Highest-signal resume keywords

AI/ML Solution DeliveryTeam Leadership and CoachingArchitecture and Design DecisionsOperational Ownership and Continuous ImprovementCross-Domain Collaboration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningAdvanced AnalyticsAI System DesignPrototypingCode ReviewExploratory AnalysisEvaluation MethodsData ScienceRisk AssessmentDelivery Portfolio Management

Soft Skills

CommunicationInfluencing Without AuthorityCoachingStrategic VisionProblem-Solving

Industry Keywords

ComplianceRisk ManagementInsuranceGovernancePrivacyEnterprise ArchitectureInformation SecurityData EngineeringContract StaffingVendor Management

About the role

Key responsibilities & impact

Lead a team within Applied AI delivering AI/ML solutions into business workflows with measurable business value
Manage development and delivery of applied AI, machine learning, and advanced analytics solutions
Own team-level delivery commitments, sequencing, dependencies, risks, and quality
Shape, prioritize, and sequence a cross-domain portfolio with business stakeholders and peer leaders
Translate ambiguous needs into problem statements, delivery plans, decision points, and measurable outcomes
Contribute hands-on to proofs of concept, exploratory analysis, solution framing, merge request review, and technical leadership
Guide architecture and design decisions and review code and analytical work
Define criteria for progressing work from exploration to proof of concept, pilot, production, scale, or closure
Define success measures and connect technical performance to business outcomes
Establish ownership, adoption plans, support models, escalation paths, monitoring expectations, and continuous improvement mechanisms
Embed responsible AI practices and define evaluation criteria for quality, accuracy, fairness, safety, compliance, customer experience, and business usefulness
Identify and redesign high-value business workflows and connect AI capabilities into coherent process journeys
Develop reusable AI frameworks, components, and delivery accelerators with AI Platform Engineering
Build and lead a high-performing team of data scientists and applied AI practitioners
Coach employees, develop technical and leadership capabilities, and communicate strategic vision
Manage vendor, consulting, contract staffing, academic, and research engagements
Communicate technical concepts, uncertainty, risks, tradeoffs, and recommendations to executive, business, technical, and governance audiences
Partner with business, platform, data, architecture, security, governance, risk, operations, and other enterprise teams

Requirements

What you’ll need

Experience leading data scientists, machine learning practitioners, or applied AI specialists, including coaching, performance leadership, and talent development
Experience delivering machine learning, AI, or advanced analytics solutions into production business workflows with measurable outcomes
Current hands-on technical ability to prototype independently, read and review code, assess analytical work, and lead architecture and design conversations
Strong understanding of AI system design, including retrieval patterns, structured output, agentic workflows, evaluation methods for non-deterministic systems, observability, and production risk
Ability to originate work from enterprise goals and manage a delivery portfolio under constraint
Experience running exploration with evidence and criteria for progressing from proof of concept to pilot and production
Experience establishing operational ownership, adoption measures, support expectations, and continuous improvement practices
Experience managing vendor, consulting, academic, research, or contract staffing engagements
Experience partnering across Information Security, Enterprise Architecture, Governance, Risk, Legal, Privacy, Compliance, Product, Operations, Data Engineering, and Application Development
Ability to communicate complex technical concepts, uncertainty, tradeoffs, and recommendations to executive audiences and influence without formal authority
Working knowledge of insurance, risk, or a comparably regulated domain
Offer contingent on applicable background checks
Offer contingent on signing a non-disclosure agreement
Sponsorship will not be considered unless specified in the posting
Candidates should reside within approximately 35–50 miles of Madison, WI or Boston, MA
Minimum 10 days per month working from the office

Benefits

Comp & perks

Relocation support for eligible candidates
Comprehensive medical, dental, vision, and wellbeing benefits
Competitive 401(k) contribution
Pension plan
Annual incentive
9 paid holidays
Paid time off program (23 days accrued annually for full-time employees)
Student loan repayment program
Paid-family leave