AI Technical Platform Manager

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.

Our Applied AI team at Unum is adding an AI Technical Platform Manager to the team! As the Technical Platform Manager for AI Initiatives, you will play a pivotal role in advancing Unum’s AI and data science through the AIRIS platform—our AI Ops and Innovation Sandbox. You will be responsible for defining and executing the platform vision, roadmap, and governance for AIRIS, ensuring it meets the evolving needs of our AI/ML practitioners, data engineers, and product & Innovation teams across the enterprise.

In addition, you will own the community of practice for data science and AI, fostering collaboration, knowledge-sharing, and best practices adoption among all teams operating on AIRIS.

• Bachelor’s degree in computer science, Data Science, Engineering, or related field (Master’s preferred).
• 5+ years of experience in product management, technical program management, or related role, with at least 2 years supporting AI/ML or data platforms.
• Hands-on familiarity with AIOps, Databricks, and equivalent cloud-native AI/ML platforms strongly preferred.
• Working knowledge of AI lifecycle tools (model training, deployment, monitoring).
• Familiarity with data wrangling, feature engineering, and data pipeline orchestration.
• Understanding of platform architecture, APIs, and integration patterns.
• Strong facilitation skills for running communities of practice or cross-team forums.
• Demonstrated ability to translate technical needs into business value.
• Excellent communication skills to influence executive stakeholders and technical teams alike.

• Partner with executive leadership to align AIRIS platform strategy with enterprise AI and Innovation goals.
• Define KPIs for adoption, performance, and value creation, and regularly report on progress.
• Assess market trends, vendor offerings, and emerging technologies in the AIOps and AI/ML tooling space to guide platform evolution.
• Serve as the product owner for the AIRIS platform, managing its roadmap, feature prioritization, reusability, and user adoption.
• Ensure platform reliability, scalability, and usability in collaboration with engineering, architecture, and operations teams.
• Partner with security, compliance, and IT to maintain governance, access controls, and audit readiness.
• Define and deliver platform capabilities that accelerate the end-to-end AI lifecycle, including data wrangling, feature engineering, experimentation, deployment, and ongoing monitoring.
• Identify reusable assets and publish and ready them for broader adoption.
• Collaborate with data scientists, engineers, and AI product managers to remove bottlenecks and provide tools/workflows that improve productivity and model quality.
• Own and facilitate the AIRIS community of practice, ensuring alignment of standards, reusable assets, and AI/ML best practices.
• Drive cross-functional collaboration between analytics, engineering, product, and business teams to maximize the impact of AI initiatives.
• Evangelize new AIRIS capabilities, onboarding programs, and success stories across the enterprise.
• Represent the needs of AIRIS platform users (data scientists,…