Product Delivery Lead - Insurance Data

<div class="content-intro"><p><strong>COMPANY OVERVIEW</strong></p>
<p>KKR is a leading global investment firm that offers alternative asset management as well as capital markets and insurance solutions. KKR aims to generate attractive investment returns by following a patient and disciplined investment approach, employing world-class people, and supporting growth in its portfolio companies and communities. KKR sponsors investment funds that invest in private equity, credit and real assets and has strategic partners that manage hedge funds. KKR’s insurance subsidiaries offer retirement, life and reinsurance products under the management of Global Atlantic Financial Group. References to KKR’s investments may include the activities of its sponsored funds and insurance subsidiaries.</p></div><p><strong>Technology Organization Overview</strong></p>
<p>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.</p>
<h2><strong>Team Overview</strong></h2>
<p>Our dedicated Product &amp; Delivery function drives execution discipline across multiple technology teams with a goal to consistently deliver excellence serving our business needs. The Product &amp; 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.</p>
<h2><strong>Position Summary</strong></h2>
<p>We are seeking a Tech Product &amp; Delivery Lead for Insurance Data and AI to own the end-to-end strategy, roadmap, and delivery of technology solutions that power KKR's insurance data and AI capabilities – from policy, investments, and actuarial data platform architecture, data governance and quality, and the enterprise insurance data catalog through machine learning infrastructure, generative AI tooling, and firmwide insurance analytics enablement. Partnering closely with the Data and AI leadership team – as well as our Insurance Data Engineering and AI/ML Engineering teams – this leader will shape the multi-year vision for Insurance Data and AI 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 Data and AI stakeholders and engineering, ensuring deep understanding of business priorities to drive the right prioritization, modernization, and responsible-AI-enabled transformation of how KKR's insurance platform companies collect, govern, and derive value from policy, investments, actuarial, and distribution data globally.</p>
<h2><strong>Key Responsibilities</strong></h2>
<p>Technology Strategy &amp; Roadmap</p>
<ul>
<li>Define and own the multi-year technology strategy and roadmap for the end-to-end Insurance Data and AI technology stack – spanning policy, investments, and actuarial data platform and lakehouse architecture, data governance and quality, master and reference data management, machine learning infrastructure, and generative AI tooling – ensuring alignment with the firm's insurance data strategy and business priorities</li>
<li>Drive prioritization and governance of the Insurance Data and AI technology portfolio, balancing near-term operational needs (data quality remediation, model retraining cycles, and platform capacity reviews) with long-term platform modernization aligned to the Insurance Data and AI leadership team's vision</li>
<li>Stay current on emerging trends across insurance data platforms, MLOps, LLM / generative AI tooling, and actuarial and investments data governance technology – bringing innovation into the roadmap and shaping the perspective of Insurance Data and AI leadership on where to invest</li>
</ul>
<p>Stakeholder Partnership &amp; Requirements Management</p>
<ul>
<li>Partner with the Data Operations, Actuarial,, Underwriting Analytics, Model Risk Management, and business-unit data stewards teams to understand business requirements and translate complex insurance data and AI needs into practical, scalable technology solutions</li>
<li>Collaborate closely with engineering leads to design scalable, secure, and efficient solutions supporting the full insurance data-to-insight lifecycle (e.g., policy, investments, and actuarial data ingestion and integration, data quality and governance, feature engineering, model development and deployment, and consumption via risk, investments, and actuarial analytics applications)</li>
<li>Serve as the senior technology partner to the Insurance Data and AI function, facilitating cross-functional collaboration across Data Operations, Actuarial, Investments,, Underwriting Analytics, Legal, Compliance, and Technology, and building deep partnerships with insurance business leaders globally</li>
</ul>
<p>Technology Lifecycle &amp; Delivery</p>
<ul>
<li>Lead a team of product managers and delivery leads, setting standards for discovery, requirements management, delivery cadence, and adoption across the Insurance Data and AI technology portfolio</li>
<li>Oversee end-to-end product lifecycle for all Insurance Data and AI platforms – including requirements gathering, vendor selection, solution design, configuration, testing, rollout, change management, adoption, and continuous improvement</li>
<li>Drive the development and implementation of platforms supporting the full insurance data-to-insight lifecycle, including data lakehouse and warehouse platforms, data catalog and governance tools, ETL / ELT and orchestration for policy / investments / actuarial data, MLOps and model lifecycle management, generative AI / LLM tooling, and self-service BI and analytics platforms</li>
<li>Ensure Insurance Data and AI technology solutions deliver an integrated, modern data and analytics experience, with workflow automation, self-service access, and real-time insights into data quality, model performance, and platform adoption metrics</li>
<li>Own delivery accountability for the portfolio – including budget, vendor relationships, SOWs, milestones, risks, and stakeholder communication – partnering with the Program Management function to ensure execution discipline across concurrent workstreams</li>
</ul>
<p>Technology Innovation &amp; Transformation</p>
<ul>
<li>Champion the modernization and automation of the Insurance Data and AI technology stack, including cloud-native architecture, a consolidated insurance data platform, modern integration patterns, and the application of advanced analytics and generative AI to underwriting, investments, and actuarial data quality, model deployment, and firmwide productivity use cases</li>
<li>Evaluate and integrate best-of-breed Insurance Data and AI technology solutions (e.g., data lakehouse, data catalog / governance, MLOps, and generative AI platforms) as needed to enhance capabilities</li>
<li>Lead the responsible adoption of AI-enabled capabilities across the insurance data lifecycle – for example, in actuarial model performance monitoring and drift detection, and generative AI copilots – with appropriate governance and human oversight</li>
<li>Drive adoption of new solutions and embed them into the day-to-day workflows of users, ensuring measurable impact and a best-in-class user experience</li>
</ul>
<p>Governance, Compliance &amp; Risk Management</p>
<ul>
<li>Ensure all Insurance Data and AI technology platforms meet global regulatory expectations, including data privacy (e.g., GDPR, CCPA), model risk management standards, NAIC and state insurance regulatory requirements on data and AI use, and emerging AI governance regulations, and internal governance standards specific to policy, investments, and actuarial data lineage, quality, and responsible AI</li>
<li>Partner with Legal, Compliance, Information Security, and Model Risk Management to align solutions with enterprise risk management frameworks and to operationalize controls across the insurance data and model lifecycle</li>
<li>Implement controls, access models, and risk mitigation protocols aligned with enterprise technology policies, with particular attention to data access governance, model explainability, and confidentiality of policyholder, investments, and underwriting data</li>
</ul>
<p>Performance Monitoring &amp; Continuous Improvement</p>
<ul>
<li>Monitor adoption and performance of deployed Insurance Data and AI platforms, leveraging quantitative and qualitative feedback to inform continuous enhancements</li>
<li>Lead continuous improvement initiatives to enhance system performance, user experience, process efficiency, and business value delivery across the Insurance Data and AI technology portfolio</li>
<li>Define, measure, and report on key product and delivery metrics – including adoption, cycle time, NPS, data quality scores, model deployment velocity, and ROI – to Insurance Data and AI leadership and the Technology leadership team</li>
</ul>
<h2><strong>Qualifications</strong></h2>
<p>Experience:</p>
<ul>
<li>12+ years of experience in system implementations, product management, technology delivery, or transformation roles, with meaningful time spent leading Insurance Data and AI technology programs, ideally within life insurance, reinsurance, or large

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