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About the Role

KKR is seeking a Tech Product & Delivery Lead for Insurance Data and AI to own the end-to-end strategy, roadmap, and delivery of technology solutions that power the firm's insurance data and AI capabilities. This role will shape the multi-year vision, build and lead a team, and drive complex programs, acting as a senior bridge between Insurance Data and AI stakeholders and engineering.

Responsibilities

Define and own the multi-year technology strategy and roadmap for the end-to-end Insurance Data and AI technology stack.
Drive prioritization and governance of the Insurance Data and AI technology portfolio.
Stay current on emerging trends across insurance data platforms, MLOps, LLM / generative AI tooling, and actuarial and investments data governance technology.
Partner with various teams to understand business requirements and translate complex insurance data and AI needs into scalable technology solutions.
Collaborate closely with engineering leads to design scalable, secure, and efficient solutions supporting the full insurance data-to-insight lifecycle.
Serve as the senior technology partner to the Insurance Data and AI function, facilitating cross-functional collaboration.
Lead a team of product managers and delivery leads, setting standards for discovery, requirements management, delivery cadence, and adoption.
Oversee end-to-end product lifecycle for all Insurance Data and AI platforms.
Drive the development and implementation of platforms supporting the full insurance data-to-insight lifecycle.
Ensure Insurance Data and AI technology solutions deliver an integrated, modern data and analytics experience.
Own delivery accountability for the portfolio – including budget, vendor relationships, SOWs, milestones, risks, and stakeholder communication.
Champion the modernization and automation of the Insurance Data and AI technology stack.
Evaluate and integrate best-of-breed Insurance Data and AI technology solutions.
Lead the responsible adoption of AI-enabled capabilities across the insurance data lifecycle.
Drive adoption of new solutions and embed them into the day-to-day workflows of users.
Ensure all Insurance Data and AI technology platforms meet global regulatory expectations.
Partner with Legal, Compliance, Information Security, and Model Risk Management to align solutions with enterprise risk management frameworks.
Implement controls, access models, and risk mitigation protocols aligned with enterprise technology policies.
Monitor adoption and performance of deployed Insurance Data and AI platforms.
Lead continuous improvement initiatives to enhance system performance, user experience, process efficiency, and business value delivery.
Define, measure, and report on key product and delivery metrics.

Requirements

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 insurance enterprise environments.
Proven track record of building and leading product and delivery teams, and of personally delivering enterprise insurance data and AI 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.
Deep understanding of the end-to-end insurance data-to-insight lifecycle and the operating model of a modern insurance data and AI function.
Hands-on familiarity with leading Insurance Data and AI technology platforms across the stack.
Knowledge of data privacy regulation (e.g., GDPR, CCPA), model risk management, NAIC / state insurance regulatory expectations on data and AI, and emerging AI governance frameworks.
Technical fluency with enterprise insurance data and AI/ML platforms, identity and access management, data governance, workflow automation, and emerging AI/ML tools applied to analytics use cases.
Experience designing and implementing workflow automation platforms, integration architectures, and insurance-specific data models and semantic layers.
Familiarity with cloud architecture, modern data management, and analytics tools.
Understanding of enterprise DevOps, CI/CD practices, and modern SDLC frameworks.
Ability to design and communicate a long-term vision for the Insurance Data and AI technology stack while delivering incremental business value each cycle.
Strategic thinking with the ability to align product and delivery initiatives with broader enterprise technology vision, the firm's insurance data strategy, and business objectives.
Strong ability to engage, influence, and align diverse stakeholders.
Excellent articulation and executive presence.
Ability to build consensus and drive execution in a complex, fast-moving, and highly confidential environment.
Skilled at prioritization, governance, and managing delivery timelines across a multi-workstream portfolio without compromising quality.
Strong program management capabilities.
Strong skills in problem-solving, data analysis, and translating insights into product and delivery decisions.
Ability to balance technical feasibility, vendor capabilities, business needs, and end-user experience.
Able to drive adoption of new solutions and embed them into business and insurance data processes.
Passion for innovation and for driving transformational change.
Excellent written and verbal communication skills.
Strong collaboration skills.

Skills

Insurance Data Platforms
MLOps
LLM / Generative AI Tooling
Actuarial Data Governance
Investments Data Governance
Data Platform Architecture
Data Lakehouse Architecture
Data Governance
Data Quality
Master Data Management
Reference Data Management
Machine Learning Infrastructure
Generative AI Tooling
Insurance Analytics
Data Operations
Actuarial
Underwriting Analytics
Model Risk Management
Data Engineering
AI/ML Engineering
Product Management
Delivery Management
Cloud-Native Architecture
Data Integration
Workflow Automation
Self-Service BI
Analytics Platforms
Data Privacy (GDPR, CCPA)
NAIC and State Insurance Regulatory Requirements
AI Governance
Enterprise Risk Management
Data Access Governance
Model Explainability
DevOps
CI/CD
SDLC Frameworks
Python
SQL
Power BI
Sigma
Tableau

Location

Global

Work Type

Full-time

Experience Level

12+ years

Education Level

Bachelor's degree in Computer Science, Data Science, Statistics, or Actuarial Science; MBA or advanced degree preferred

Benefits

Reasonable accommodations as required by applicable federal, state, and/or local laws.

About the Company

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.
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 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.

Equal Opportunity

KKR is an equal opportunity employer. Individuals seeking employment are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, or any other category protected by applicable law.
KKR will provide reasonable accommodations as required by applicable federal, state, and/or local laws.
Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.