AVP, AI Enterprise Architecture
Unum
Our Fortune 500 company is driving a digital transformation and looking for forward-thinking innovators to disrupt how our industry thinks about and uses technology. As one of the world's leading employee benefits providers, we help millions of people gain affordable access to benefits that help them protect their families, their finances and their futures.
Are you an asker of questions, a solver of problems, and a challenger of the status quo? Our mission is to provide a differentiated customer experience and exceed the expectations people have of technology at any company — not just insurers.
We are seeking individuals to join our team of talented IT professionals who share never-ending passion and an unwavering focus on our customer experience. Team members comfortable working in an agile, fast-paced, and delivery-focused environment thrive in our environment where we value an entrepreneurial spirit and those who challenge the status-quo.
Unum is changing, and we’re excited about what’s next. Join us.
General Summary:
This role is responsible for defining and advancing the enterprise AI architecture strategy assuring scalable, secure, and flexible AI capabilities that enable rapid delivery of business value.
It serves as the bridge between enterprise architecture strategy and execution, shaping how solutions integrating AI are designed, governed, and deployed across the organization. The leader directly contributes to the design and development of enterprise AI platforms, reference architectures, and reusable patterns, while ensuring our AI architecture & technology decisions align to Unum Group’s business strategy and long-term value.
This role acts as a thought leader and orchestrator, partnering across technology and business teams to integrate AI into the enterprise in a disciplined, sustainable, and responsible way.
Principal Duties and Responsibilities
- Define and evolve the enterprise AI architecture strategy and standards
- Be the enterprise architecture representative in AI governance committees and directly contribute to governance frameworks and enterprise standards.
- Ensure enterprise AI capabilities are aligned to business outcomes and enterprise priorities
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