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Vice President, Enterprise Architecture and AI

Job in Richmond, Henrico County, Virginia, 23214, USA
Listing for: Genworth Financial, Inc.
Full Time position
Listed on 2026-07-21
Job specializations:
  • IT/Tech
    AI Business & Operations, Cloud Computing: Infrastructure & Operations, IT Project Manager
Salary/Wage Range or Industry Benchmark: 204400 - 317000 USD Yearly USD 204400.00 317000.00 YEAR
Job Description & How to Apply Below

Vice President, Enterprise Architecture and AI

Position is not eligible for employment visa sponsorship. Located in Richmond, VA as an in‑office/hybrid role. Hybrid schedule requires remote and in‑office days; in‑office days are Tuesday, Wednesday, and Thursday from 9:00 a.m. to 5:00 p.m. EST.

Role Overview

Genworth | Care Scout’s Technology Organization is on a transformational journey to become a leading enterprise technology function, one that drives innovation, enables business agility, and delivers scalable, resilient, and customer‑centric solutions. As the Vice President, Enterprise Architecture and AI, you will own the enterprise‑wide architecture vision and AI strategy that shape how we build, modernize, and evolve our technology landscape.

You will report directly to the Chief Information Officer and serve as a key member of the Technology Leadership Team, setting the architectural and AI agenda for the enterprise, chairing the Architecture Review Board, and influencing Genworth’s future‑proof technology strategy.

What you will be doing
  • Enterprise Architecture Strategy & Vision
    • Set and own Genworth’s enterprise architecture vision and long‑term technology strategy, ensuring alignment with business objectives and the Future‑Proof Technology Strategy.
    • Establish and govern target‑state architectures, business capability models, value streams, and enterprise technology roadmaps that drive investment decisions, platform modernization, and portfolio rationalization.
    • Lead enterprise‑wide current‑state assessments and strategic gap analyses across application, data, infrastructure, security, and integration domains to shape transformation priorities and capital allocation.
    • Drive architectural coherence and technology simplification across the enterprise, reducing fragmentation and ensuring solutions are scalable, interoperable, and aligned to shared enterprise standards.
    • Serve as the enterprise’s chief architectural authority, providing executive‑level strategic counsel on technology direction, platform strategy, emerging risks, and long‑term technology investments.
  • AI Strategy & Enterprise Enablement
    • Own and drive the enterprise AI strategy, architecture roadmap, and reference frameworks that enable scalable, responsible, and measurable AI adoption across Genworth and Care Scout.
    • Lead the vision and architecture for AI capabilities including machine learning, generative AI/LLMs, intelligent automation, agentic AI patterns, and advanced analytics at enterprise scale.
    • Establish comprehensive AI governance frameworks covering model lifecycle management, responsible AI principles, data quality, bias monitoring, explainability, and regulatory compliance.
    • Own the enterprise AI intake and prioritization process, ensuring AI investments are strategically aligned to high‑value business outcomes and governed by enterprise architecture standards.
    • Partner with executive leaders across the organization to identify transformative AI opportunities and drive enterprise‑wide adoption.
    • Architect enterprise AI platforms and integration patterns that ensure scalability, reproducibility, observability, cost efficiency, and security across production environments.
    • Represent the company’s AI vision and capabilities to the Board of Directors, regulators, industry forums, and strategic partners.
  • Architecture Governance & Standards
    • Establish and chair the Architecture Review Board (ARB), ensuring enterprise architectural decisions are consistent, strategically governed, and positioned to enable—not gate—delivery.
    • Define and enforce architecture governance processes, policies, and enterprise standards leveraging frameworks such as TOGAF and industry best practices.
    • Own the development and evolution of architecture principles, reference models, technology standards, and enterprise pattern libraries that accelerate delivery and promote reuse at scale.
    • Govern the enterprise technology portfolio to optimize investments, reduce redundancy, retire technical debt, and ensure alignment to target‑state architectures and business priorities.
    • Ensure enterprise architecture and AI practices support regulatory compliance, data governance, privacy,…
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