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BlackRock

Open 71d

VP/Director – Analytics Production Readiness & Assurance (APRA)

Posted Updated 2 views
Discussion

You will define, establish, and lead the Analytics Production Readiness & Assurance function. You will establish production standards, readiness criteria, data models, metrics, reporting, automation, and AI-enabled oversight. You will partner across Product, Analytics, Engineering, and Operations, drive accountability, capture decisions, and manage and develop junior technical associates and analysts.

Responsibilities

  • Define the APRA operating model and roadmap
  • Lead cross-functional initiatives to embed readiness and assurance into production workflows
  • Translate domain standards into readiness criteria and measurable posture signals
  • Drive accountability for agreed production standards
  • Define and evolve configuration and metadata data models
  • Compare deployed configurations against approved standards
  • Design and operationalize APRA metrics and reporting
  • Lead automation and AI-enabled analysis for oversight
  • Frame readiness gaps and performance tradeoffs with evidence
  • Establish decision capture practices
  • Manage and develop junior technical associates and analysts

Requirements

  • 10+ years of experience across analytics production, analytics platforms, data engineering, or related technical domains
  • Experience leading major initiatives in complex environments
  • Ability to operate with general direction and minimal oversight
  • Experience partnering across Product, Analytics, Engineering, and Operations
  • Familiarity with market and risk analytics across financial markets
  • Technical fluency in data modeling, configuration frameworks, and metadata
  • Hands-on capability using SQL and Python
  • Ability to translate standards into technical specifications
  • Experience developing people and scalable operating practices
  • Experience with analytics engines, model integration standards, parameter frameworks, configuration registries, or certification pipelines is preferred
  • Experience applying AI-enabled analytics or automation is preferred

Benefits

  • Annual discretionary bonus
  • Healthcare
  • Leave benefits
  • Retirement benefits
  • Strong retirement plan
  • Tuition reimbursement
  • Support for working parents
  • Flexible Time Off
  • Hybrid work with four days in the office and one day working from home

Skills

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See also

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