KKR's Technology team is responsible for building and supporting the firm's technological foundation including a globally distributed infrastructure, information security, and the application and data platforms. The team drives a culture of technology excellence across the firm through efficient workflow automation, democratization of data through modern data and collaboration platforms, and more recently through research and development of Generative AI based tools and services. Technology is regarded as a key business enabler at KKR and is an important accelerator to drive towards global scale creation and business process transformation. The Technology team consists of highly technical and business-centric technologists with the ability to form strong partnerships across all of our businesses.
Our dedicated Product & Delivery function drives execution discipline across multiple technology teams with a goal to consistently deliver excellence serving our business needs. The Product & Delivery leads are responsible for defining the technology strategy, understanding the required capabilities, and delivery on the technology priorities for the business areas and functions they are partnered with.
Position Summary
We are seeking a Tech Product & Delivery Lead for Insurance Commercial and Risk to own the end-to-end strategy, roadmap, and delivery of technology solutions that power KKR's insurance commercial and risk operating model – from pricing and acquisition of new blocks of life insurance business, flow pricing and retail pricing, product design, and market/trend analysis through enterprise risk management and capital and asset-liability management (ALM). Partnering closely with the Commercial and Risk leadership team – as well as our Insurance Engineering team – this leader will shape the multi-year vision for Insurance Commercial and Risk technology, build and lead a team of product managers and delivery leads, and personally drive the most complex, highest-impact programs across the portfolio. The role acts as the senior bridge between Insurance Commercial and Risk stakeholders and engineering, ensuring deep understanding of business priorities to drive the right prioritization, modernization, and AI-enabled transformation of how KKR's insurance platform companies price and acquire new blocks of business, price flow and retail business, design new insurance products, and manage capital and exposure globally.
Technology Strategy & Roadmap
Define and own the multi-year technology strategy and roadmap for the end-to-end Insurance Commercial and Risk technology stack – spanning block acquisition pricing, flow pricing, retail pricing, product design and development, market trend analysis, enterprise risk management, and capital and ALM – ensuring alignment with the firm's insurance commercial and risk strategy and business priorities
Drive prioritization and governance of the Insurance Commercial and Risk technology portfolio, balancing near-term operational needs (block pricing bids, flow and retail pricing model updates, risk reporting deadlines, and capital / ALM reviews) with long-term platform modernization aligned to the Insurance Commercial and Risk leadership team's vision
Stay current on emerging trends across insurance pricing technology, actuarial and reserve modeling, product design tools, and capital markets analytics, and AI-driven risk solutions – bringing innovation into the roadmap and shaping the perspective of Insurance Commercial and Risk leadership on where to invest
Stakeholder Partnership & Requirements Management
Partner with the Commercial / Business Development, Actuarial Pricing, Product Development, Capital Markets, and Enterprise Risk Management teams to understand business requirements and translate complex insurance pricing, product, and risk processes into practical, scalable technology solutions
Collaborate closely with engineering leads to design scalable, secure, and efficient solutions supporting the full block acquisition-to-close and pricing cycle (e.g., block due diligence and pricing, flow pricing, retail pricing, product design and filing, risk aggregation, and capital and ALM modeling)
Qualification
Domain ExpertiseKnowledge of GAAPTechnical KnowledgeFamiliarity with cloud architectureUnderstanding of enterprise DevOps
Required
12+ years of experience in system implementations, product management, technology delivery, or transformation roles, with meaningful time spent leading Insurance Commercial and Risk technology programs, ideally within life insurance, annuities, reinsurance, or large insurance enterprise environments
Proven track record of building and leading product and delivery teams, and of personally delivering enterprise insurance risk technology programs at scale across multiple geographies
Experience partnering with engineering teams, vendors, and systems integrators, and leading complex, cross-functional initiatives in a matrixed environment with executive stakeholders
Domain Expertise:
Deep understanding of the end-to-end block acquisition, pricing, and product development cycle and the operating model of a modern insurance commercial and risk function – including block due diligence and pricing, flow pricing, retail pricing, product design, market/trend analysis, enterprise risk management, and capital and ALM
Hands-on familiarity with leading Insurance Commercial and Risk technology platforms across the stack – for example Alpha, AFM, or, GGY AXIS; product design / rate filing tools; risk and capital modeling; ALM; and market/trend analytics platforms as applicable to the specific insurance business (life, annuities, or reinsurance)]
Knowledge of GAAP, statutory accounting principles, NAIC / state insurance regulatory requirements, and capital / solvency regulations and their implications on insurance pricing and risk technology and data architecture
Technical Knowledge:
Technical fluency with enterprise insurance pricing and risk platforms, identity and access management, data governance, workflow automation, and emerging AI/ML tools applied to pricing, product design, and risk use cases
Experience designing and implementing workflow automation platforms, integration architectures (APIs, event streams, iPaaS), and insurance pricing / risk data models across multiple best-of-breed vendor systems
Familiarity with cloud architecture, modern data management, and analytics tools (e.g., Python, SQL, Power BI, Sigma, Tableau, or equivalent) and with building a risk data and analytics layer on top of operational pricing and risk systems
Understanding of enterprise DevOps, CI/CD practices, and modern SDLC frameworks, and how they apply in a configuration-heavy SaaS pricing / risk environment
