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Assurant

Insurance and service contracts for devices

Director – People AI Engineering & Innovation

Engineering LeadershipPosted on Nov 5
Full-timeRemote in USA$122.4k - $204.4kRemote

About the Job

Requirements

  • A bachelor's degree in computer science, engineering, information systems, data science or a related technical field, or equivalent relevant experience.
  • At least 10 years of progressive technology, software, data or AI experience, including leadership of production and enterprise-grade solutions and teams.
  • At least 3 years of deep hands-on experience designing and delivering AI products, agents, grounded solutions, workflows, integrations and enterprise applications in production.
  • Demonstrated technical depth in solution architecture, APIs, data flows, identity, roles and access, security, monitoring, evaluations and production readiness.
  • Experience developing technical AI strategies, architecture roadmaps, reusable patterns and engineering frameworks.
  • Experience with Microsoft Copilot, UnifyApps, Leena AI, Claude or comparable enterprise AI platforms.
  • Experience embedding security, privacy, responsible AI, human oversight and auditability throughout a product lifecycle.
  • Strong product judgment and experience translating ambiguous business problems into practical solutions and measurable outcomes.
  • Ability to personally prototype, inspect designs, review technical work, troubleshoot complex issues and lead alongside engineers.
  • Experience establishing decision rights and operating interfaces across business, product, platform, data, portfolio and control teams.
  • Demonstrated talent leadership, including differentiated development, bench building, succession planning, hiring and effective use of external partners.

Responsibilities

  • Establish and evolve the People Organization’s technical AI strategy and roadmap, translating priorities and emerging capabilities into a clear architecture, platform direction and sequenced capability roadmap.
  • Define reusable technical patterns, engineering standards, decision frameworks and delivery practices that move solutions securely from concept through production, stabilization and formal transfer.
  • Partner with SLT sponsors, People teams and the Execution COE to explain technical possibilities, shape opportunities and determine when AI is appropriate versus Workday, automation, process simplification or another platform.
  • Maintain a clear point of view on architecture, platform choices, security, roles and access, responsible AI, production readiness and long-term supportability.
  • Serve as the technical and architecture authority for People AI solutions across approved platforms.
  • Participate directly in prototyping, architecture, workflow and integration design, technical reviews, evaluations and troubleshooting.
  • Lead approved solutions from discovery through design, build, validation, launch and a defined stabilization period.
  • Establish reusable patterns, grounded-solution approaches, evaluation methods, documentation and engineering standards.
  • Build safety, security, privacy, identity, roles, permissions, least-privilege access and People-data protection into every stage of the lifecycle.
  • Partner throughout the lifecycle with IT, Infrastructure, Information Security, Privacy, Legal and enterprise AI-governance teams.
  • Ensure appropriate human oversight, escalation, monitoring, auditability and controls for sensitive decisions and higher-risk use cases.
  • Retain approval authority over architecture, security, access, integrations, model changes and production readiness, and pause changes that do not meet required standards.
  • Define success measures for adoption, quality, capacity released, experience improvement, control effectiveness and sustained return on investment.
  • After stabilization, complete a formal transfer to a named business or product owner who owns adoption, business priorities, backlog and value realization.
  • Retain technical governance over architecture, security, access, integrations, model or platform changes, evaluations, monitoring and production readiness.
  • Partner with the Execution COE and product owners on quarterly results readouts and recommendations to scale, improve, hold or retire solutions.
  • Establish and maintain clear operating interfaces across AI Innovation, Workday and People Technology, Data and Analytics, ERIN/Unify Experience, the Execution COE, functional teams and enterprise partners.
  • Define and uphold decision rights, design authorities, service expectations, escalation paths, technical ownership and lifecycle accountabilities.
  • Partner with SLT sponsors and functional teams on business problems, and partner with the Execution COE on education, demonstrations, discovery, intake, prioritization and portfolio governance.
  • Partner with the Workday leader when solutions touch Workday data, processes, roles, integrations or transactions, preserving Workday as the authoritative system of record.
  • Contribute technical perspective, demonstrations and reusable examples that help leaders recognize opportunities, without sole accountability for generating organizational demand.
  • Build a high-performing, hands-on AI product and engineering team by setting a clear talent standard and meaningful accountability for outcomes.
  • Develop talent through direct coaching, technical reviews, differentiated development, stretch assignments and clear expectations.
  • Build bench strength and succession capability and prepare team members for broader product, technical and leadership responsibility.
  • Evolve roles and hire capabilities where gaps exist, emphasizing architecture, engineering, security, evaluation, responsible AI and production delivery.
  • Use external partners selectively while maintaining internal architecture authority, technical knowledge, accountability and ownership.

Desired Qualifications

  • An advanced degree in computer science, engineering, AI, data science or a related field.
  • Experience building AI products outside traditional HR or People Technology environments.
  • Experience with enterprise copilots, agentic workflows, retrieval-augmented generation, orchestration platforms and model evaluation.
  • Experience operating in highly regulated or data-sensitive environments.
  • Familiarity with People processes or People technology.

About the Company

Assurant

Insurance and service contracts for devices

Assurant provides risk-management solutions for mobile devices, electronics, and other high-value items by offering insurance policies, extended service contracts, and repair services to individuals, businesses, and financial institutions worldwide. It underwrites or backs these protections, collects premiums or service fees, and delivers repair and related support when covered items fail. Unlike some rivals, it combines protection products with repair and value-added services across a global footprint and emphasizes the connected-device ecosystem and DEI culture. Its goal is to minimize the financial impact of unexpected events for customers and keep everyday operations running by protecting investments and providing fast, reliable support.

Company size
10,001+
Company stage
IPO
Headquarters
Atlanta, GA
Founded
1892

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