Hiring: VP/Director – Analytics Production Readiness & Assurance (APRA) Company: BlackRock Location: New York, NY Job Posted Time: 2026-09-10 11:41:32 Employment Type: Hybrid Target Skills & Keywords : Python, SQL About the job Experience: •10+ years of experience across analytics production, analytics platforms, data engineering, or related technical domains, with a track record of leading major initiatives and delivering sustained outcomes in complex environments. Required Skills: •Director – Analytics Production Readiness & Assurance (APRA) •Analytics Production Delivery | Aladdin Data •This role requires the ability to operate with general direction and minimal oversight •, lead major initiatives, and drive sustained impact through influence and collaboration across teams. •Establish and lead the APRA function within Analytics Production Delivery •Define the APRA operating model and roadmap: what “production readiness” means, how it is measured, and how assurance is applied consistently across analytics domains. •Lead major cross-functional initiatives to embed readiness and assurance into analytics production delivery workflows, ensuring adoption without unnecessary process friction. •Partner to drive production standards and accountability across upstream and downstream teams Qualifications: •Demonstrated ability to operate with general direction and minimal oversight, providing guidance and recommendations based on deep specialist knowledge. •Strong experience partnering across Product, Analytics, Engineering, and Operations, using influence to drive alignment, accountability, and consistent adoption of standards. •Strong familiarity with market and risk analytics across financial markets (e.g., pricing, risk, portfolio analytics, model-driven outputs) and the production realities of delivering those analytics to clients. •Deep technical fluency in data modeling, configuration frameworks, and metadata, with hands-on capability using SQL and Python to validate data, build metrics, and produce decision-ready insights. •Demonstrated ability to translate abstract standards into concrete technical specifications (schemas, validation rules, posture logic, metrics definitions) that can be implemented and operated at scale. •Track record of developing people and creating scalable operating practices that increase reach and impact across teams. Compensation: •Flexible work environment (work from home / hybrid options) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!