VP/Director - Analytics Production Readiness & Assurance APRA - blackrock

About this role

Job Description

Director – Analytics Production Readiness & Assurance (APRA)

Analytics Production Delivery | Aladdin Data

Role Brief

Analytics Production Delivery within Aladdin Data is responsible for delivering analytics through production processes that are standard-based, explainable, and resilient to change. Analytics Production Readiness & Assurance (APRA) ensures that analytics, configurations, and production transitions meet defined production standards, and that deviations and tradeoffs are surfaced explicitly and handled through consistent decision processes.

As a Director , you will define, establish , and lead the APRA function as a durable operating capability. You will partner with Analytics Stewards, Product teams, upstream modelers, and production delivery leaders to drive consistent adoption of production standards, readiness criteria, and posture transparency. You will bring strong technical depth in configuration and metadata data modeling, market and risk analytics domain understanding, and AI/automation fluency to scale oversight through deterministic classification, metrics, and intelligent analysis.

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 .

Key Responsibilities

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

Partner with Analytics Stewards and Product to translate domain standards into implementable readiness criteria and measurable posture signals, ensuring standards are practical and observable in production.

Hold upstream modelers and delivery stakeholders accountable to deliver models and implementations to agreed production standards by driving clarity, surfacing gaps, and ensuring ownership is explicit.

Own the technical framework for standards representation and posture visibility

Define and evolve the configuration/metadata data model required to represent: production standards, permissible variables, certification posture, configuration alignment, and transition state in machine-readable terms.

Establish deterministic methods for comparing deployed configurations against approved standards and for surfacing deviations objectively and repeatably.

Build scalable oversight, metrics, and automation (AI/tech fluent)