Blackstone Credit & Insurance(BXCI) - Insurance Data Operations - Senior Vice President

Blackstone • New York, NY

6d

About The Position

Blackstone is seeking a seasoned Data Governance/Data Operations leader with deep expertise in Insurance related data to own the end-to-end lifecycle of data across private credit, insurance, and related investment platforms. In this role, you will establish and enforce governance standards, steward data quality and transparency between internal platforms and client data needs within data operations (ingestion, normalization, controls, and reporting). You will partner closely with investment, risk, technology, accounting, and compliance teams to ensure data is accurate, timely, and decision-ready—supporting portfolio construction, surveillance, valuations, and regulatory reporting in a high-performance, regulated environment.

Requirements

• Bachelor’s degree in STEM, Finance, Business, Data Management, or related field; advanced degree preferred.
• 7–12+ years in data governance/data operations, with 7–10+ years directly in insurance related investing across asset classes (public/private corporate credit, ABS, Mortgage etc.).
• Demonstrated ownership of data pipelines between internal and external accounting platforms.
• SQL skills are necessary for insurance-related data operations tasks, such as manipulating datasets for regulatory reporting and compliance.
• Deep understanding of valuation, risk, and insurance-specific requirements, including pricing sources, model validation, sensitivity/scenario analysis, NAIC designations, SSAP 26R/43R, and GAAP/STAT reporting for insurance portfolios.
• Strong data governance and control expertise, encompassing pre-/post-ingestion checks, anomaly detection, referential integrity, compliance with data usage/PII requirements, and robust control frameworks to minimize data anomalies and ensure audit readiness.
• Proven ability to manage end-to-end data lifecycles and deliver accurate, decision-ready data across insurance asset classes (public/private credit, ABS, mortgages), integrating standardized identifiers and analytics from platforms like Intex, Bloomberg, and ICE/Markit, using modern technologies such as Snowflake, Sigma, and Alation.

Nice To Haves

• Python nice to have.
• Knowledge of accounting systems (e.g., Axiom, Clearwater, Aladdin) and regulatory principles (GAAP/STAT for SSAP 26R/43R reporting) is beneficial for handling insurance portfolios and compliance.

Responsibilities

• Operationalize insurance deal KPIs within our central data warehouse.
• Collaborate with internal and external stakeholders to develop the future insurance reporting platform.
• Execute daily and weekly control processes on insurance data to ensure clients receive current and accurate information.
• Build data pipelines and APIs between Snowflake (warehouse), Intex/quant libraries (analytics), Axiom/Clearwater (accounting), and Sigma/BI (reporting).
• Implement control frameworks for data (pre-/post-ingestion checks, anomaly detection, duplicate prevention, referential integrity).
• Support insurer/statutory reporting (NAIC designations, SSAP 26R/43R data elements) and audit-readiness.
• Deliver executive-ready KPIs on data quality, operational SLAs, and portfolio impacts; lead remediation programs for systemic data issues.
• Partner with PMs, research, and risk to deliver decision-ready datasets for portfolio construction, hedging, and scenario analysis.
• Work with technology to implement scalable ETL, lineage, catalog, and data-access controls; coordinate with compliance/legal on data usage (including PII when applicable).
• Interface with external trustees, servicers, rating agencies, and data vendors; manage vendor SLAs and change notifications (file formats, delivery schedules).
• Mentor team members, ensuring expertise in insurance data processes.
• Develop coverage and incident response playbooks tailored to insurance-related data issues.
• Manage cross-functional projects such as onboarding new insurance deals, migrating insurance platforms, and integrating new insurance data vendors.
• Oversee timelines, testing, cutover strategies, and post-implementation reviews specific to insurance requirements.
• Promote data literacy across investment and operations teams focused on insurance.
• Document standards and SOPs relevant to insurance portfolios and reporting.

Benefits

• comprehensive health benefits, including but not limited to medical, dental, vision, and FSA benefits
• paid time off
• life insurance
• 401(k) plan
• discretionary bonuses

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 251-500 employees