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From the employer's careers site First seen 26 Oct 2026

Director, Data & Analytics

BlackRock New York, NY Hybrid senior full-time

Salary

USD$200,000 - USD$250,000 per year

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Description

The Director will lead the BIS Data & Analytics team, managing three engineers based in New York. The successful candidate will be responsible for delivering global, data-centric stewardship capabilities including research and reporting, which will complement the qualitative company-specific research conducted by BIS engagement and voting analysts.

Key Responsibilities:

  • Enable the stewardship platform, spanning research, voting and client reporting
  • Leverage expertise in automation to improve analyst efficiency and controls
  • Support voting and engagement client reporting by designing and maintaining a code stack utilizing BlackRock’s applications and tools
  • Partner with other analytical and technology functions across BlackRock to build, maintain and improve technological solutions
  • Ensure integrity of the BIS data environment and oversee the quality control of BIS proprietary datasets
  • Direct team of data analysts in appropriate design and use of data tools and reports

The ideal candidate will have:

  • 8-12 years of experience in data engineering
  • Recent experience in evaluating and deploying modern AI techniques
  • Undergraduate degree is required, and an advanced degree (Masters) is a plus within a technical field (Computer Science, Statistics)
  • Demonstrated experience with building research and analytics platforms
  • Expert-level proficiency required in relational modeling and complex query optimization
  • Experience in AI including orchestration and building workflows, UI/UX, and building RAG-based systems
  • Design robust schemas and ETL/ELT pipelines to ingest corporate filings, global news, and financial data
  • Ability to integrate cutting-edge AI into BIS workflow
  • Demonstrated experience using Python or C# to automate workflows and solve engineering hurdles
  • Significant experience with Snowflake (specifically Lake House implementations)
  • Effective communication skills and collaborative working style

Skills

Required

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