Technology Transformation Director

What You'll Own

• Strategic Leadership & Transformation Partner in a “two-in-a-box” model with the Institutional Division's AVP, Transformation Leader to co-own shared priorities, KPIs, and transformation outcomes.
• Help define and execute the technology roadmap for Institutional Division platforms (policy, administration, and servicing systems) supporting DB and DC retirement products, aligned to enterprise architecture and the division's growth strategy.
• Identify opportunities where automation, AI, and workflow orchestration can improve straight-through processing, data quality, and the annuitant/customer experience.
• Champion the continued evolution of the platform landscape, promoting composable, API-enabled, and cloud-ready architecture.
• Translate the division's transformation roadmap into actionable delivery plans — epics, user stories, and acceptance criteria in partnership with Product and Operations.
• Own execution cadence: sprint planning, release management, and delivery metrics using agile and DevOps practices.
• Manage dependencies and remove roadblocks across Technology, Operations, Product, and vendor partners to keep delivery on track.
• Cook up with vendor/BPO technology teams to ensure platform integrations and delivery commitments support transformation goals.

Qualifications

• 8+ years in technology leadership roles, ideally within financial services, insurance, or asset management.
• A track record of leading technology delivery for policy/contract administration, or similar servicing platforms.
• Proven ability to translate business strategy into technology roadmaps and deliver measurable outcomes.
• Strong command of agile delivery practices and DevOps/DevSecOps principles.
• Demonstrated ability to reimagine complex, end-to-end processes rather than incrementally improve them.
• Skilled at partnering with business leaders in a shared-ownership (“two-in-a-box”) model.
• Practiced at managing hybrid teams (employees, contractors, vendor/BPO partners).
• Ability to operate effectively in a highly regulated environment with strong controls and governance expectations.
• Comfortable navigating ambiguity and driving clarity in complex environments.
• Bachelor's degree in Computer Science, Information Systems, or a related field (or equivalent experience).

Preferred Qualifications

• Solid understanding of the defined benefit and defined contribution retirement ecosystem, including new business, inforce, and servicing operations.
• Experience leveraging AI-augmented engineering practices to accelerate delivery and improve quality.
• Familiarity with advanced analytics platforms, driving actionable insights from annuitant/policy holder data.
• Strategic thinker with a bias for action and continuous improvement.
• Passionate about talent development and building inclusive, high-performing teams.

Base Pay Range

The base pay range noted represents the company’s good faith minimum and maximum range for this role at the time of posting. The actual compensation offered to a candidate will be dependent upon several factors, including but not limited to experience, qualifications and geographic location. Also, most employees are eligible for additional incentive pay. $184,680.00 - $225,720.00