Credit & Insurance; BXCI - Asset Backed Data Operations - Senior Vice President

Blackstone Credit & Insurance (BXCI) – Asset Backed Data Operations – Senior Vice President

Asset Backed Data Operations

Business Unit:
Blackstone Credit and Insurance

Blackstone is seeking a Data Governance/Data Operations leader with deep expertise in Asset‑Backed Finance (ABS) to own the end‑to‑end lifecycle of ABS data across private credit, insurance, and related investment platforms. You will establish and enforce governance standards, steward high‑quality loan‑ and tranche‑level datasets, and run mission‑critical ABS data operations (ingestion, normalization, controls, and reporting). You will partner closely with the 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.

• Operationalize Key Performance Indicators for Asset Backed Deals into our central data warehouse.
• Coordinate pricing and analytics feeds (Bloomberg/ICE/Markit, rating agency data, Intex) and align them with internal valuation and risk models.
• Run daily/weekly controls around asset‑based finance deals.
• Orchestrate data pipelines and APIs between warehouse (Snowflake), analytics (Intex/quant libraries), accounting (Axiom/Clearwater), and reporting (Sigma/BI).

• Implement control frameworks for ABS 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.
• Monitor covenant and performance triggers; produce surveillance dashboards (delinquencies, defaults, losses, CPR/CDR, CE levels, WAL, credit enhancement).
• 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 ABS 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).

• Build and mentor a high‑performing ABS data ops/governance team; establish on‑call coverage and incident response playbooks.
• Lead cross‑functional projects (new deal onboarding, platform migrations, new vendor integrations) and manage timelines, testing, cutover, and post‑implementation reviews.
• Promote data literacy across investment and operations teams; document standards and SOPs.

• Bachelor’s degree in STEM, Finance, Business, Data Management, or related field; advanced degree preferred.
• 12+ years in data governance/data operations, with 7+ years directly in ABS across multiple sectors (Auto, Consumer/Marketplace, Equipment, RMBS/CMBS, CLO).
• Demonstrated ownership of ABS data pipelines, trustee/servicer integrations, waterfall inputs, and reconciliation processes at scale.

• SQL skills necessary. Python skills preferred.
• Hands‑on experience with Snowflake, Sigma or similar BI, and Alation (catalog/lineage); familiarity with workflow/orchestration tools.
• Expertise with ABS analytics/data sources:
  Intex, Bloomberg, ICE/Markit, rating agency data (S&P, Moody’s, Fitch, KBRA); experience integrating identifiers and factors.
• Knowledge of accounting/reporting systems and GAAP/STAT considerations for ABS portfolios preferred.

• Deep understanding of ABS structures and mechanics: collateral stratification, waterfall priorities, enhancement/triggers (OC/IC), factor updates, servicing metrics, and trustee reporting.
• Familiarity with valuation and risk concepts (pricing sources, model validation, and sensitivity and scenario analysis).
• Regulatory awareness relevant to buy‑side ABS investors (e.g., Reg AB II data expectations,…