AVP, Insurance Data Ops
AVP, Insurance Data Ops
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Job Description
About Global Atlantic
Global Atlantic is a leading provider of retirement security and investment solutions with operations in the U.S. Bermuda and Japan. As a wholly-owned subsidiary of KKR (NYSE: KKR) a leading global investment firm Global Atlantic combines deep insurance expertise with KKRs powerful investment capabilities to deliver long-term financial security for millions of individuals worldwide. With a broad suite of annuity preneed life insurance reinsurance and investment solutions Global Atlantic through its issuing companies helps people achieve their financial goals with confidence. For more information please visit .
Team Overview
Global Atlantic / KKR Insurance Global Data Operations team is responsible for collecting managing and harnessing the power of data across our diverse business activities. To support the rapid growth of our insurance segment we have established a dedicatedInsurance Data Operations team. This team is tasked with ensuring data integrity availability and transparency across KKRs insurance business while also driving the design of data models and products that serve business needs across finance risk and investment teams.
Position Overview
We are seeking an AVP Insurance Data Ops Managerto join our Boston-based Insurance Data Operations team. This individual will serve as a data product owner responsible for shaping insurance data models defining requirements and working hand-in-hand with technology partners to build consumable scalable and business-ready data products.
The ideal candidate combines technical strength in data modeling and analytics with the ability to translate business needs into structured requirements. This role requires a proactive leader who can bridge business and technology ensuring that insurance data products deliver actionable insights and high-quality outcomes for stakeholders.
This position reports to the Head of Insurance Data Operations and will collaborate extensively with enterprise technology data engineering and business leadership.
Responsibilities
- Own the requirements/ design of insurance data models ensuring that data structures reflect business logic and enable accurate scalable reporting and analytics.
- Define detailed data requirements by engaging with business stakeholders across finance actuarial investments and risk to capture use cases and translate them into technical specifications.
- Partner with technology teams to design build and enhance insurance data platforms and curare consumable data products ensuring reliability scalability and ease of use.
- Design build and maintain dashboards and reporting products in BI tools (e.g. Tableau Power BI Sigma Streamlit) enabling stakeholders to consume data intuitively and make decisions with confidence.
- Lead testing and validation efforts ensuring data model integrity and accuracy before rollout.
- Implement data governance standards ensuring all insurance data is well-defined cataloged and documented for consistent usage across the firm.
- Troubleshoot and resolve data quality issues performing root cause analysis to drive tactical fixes and embed long-term fixes in the data model.
- Provide business-driven analytics and ad hoc insights while leveraging centralized data products.
- Collaborate with the Global Data Operations team to align insurance data practices with broader enterprise frameworks.
- Mentor junior team members on data modeling visualization and product delivery best practices.
Qualifications
- Bachelors degree in Finance Analytics Information Systems Engineering or related field; Masters degree preferred.
- 610 years of progressive experience in data modeling data analysis or data product managementinsurance or financial services experience strongly preferred.
- Advanced SQL skills required including the ability to design and optimize complex queries build data models and work with large complex datasets.
- Working knowledge of Python (or a similar programming language) required with ability to use scripting for data analysis automation and model validation.
- Hands-on experience building dashboards and visualizations in at least one modern BI tool (Tableau Power BI Sigma Streamlit or similar) able to independently design and deliver consumable executive-ready reporting products.
- Proven ability to translate business requirements into technical data model specifications.
- Demonstrated experience working with engineering/technology teams to deliver data products or platforms.
- Familiarity with cloud data environments (Snowflake Databricks etc.) preferred.
- Strong communication skills with the ability to bridge business needs and technical execution.
- Demonstrated ability to manage multiple projects and priorities in a fast-paced environment while maintaining attention to detail.
- Collaborative action-oriented and comfortable operating in cross-functional settings.
Preferred Qualifications
- Experience designing data models for insurance or financial services use cases (policy claims actuarial or investment data).
- Familiarity with enterprise data governance frameworks and tools (Collibra Alation etc.).
- Exposure to regulatory or reporting requirements within the insurance industry.
Location Requirement
This role is based in KKRs Boston office. Regular in-office presence is expected with flexibility in accordance with firm policy.
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Our employees are in the office5 days per week in New York and 4 days per week in all other offices. If you have questions on this policy or the application process please reach out to
Global Atlantic reserves the right to modify the qualifications and requirements for this position to accommodate business needs and regulatory changes. Future adjustments may include obtaining specific licenses or certifications to comply with operational needs and conform to applicable industry-specific regulatory requirements state and federal laws.
Employment Type
Full Time
