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

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

senior · Data Science & Analytics

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) 

• Design and operationalize the core APRA metrics and reporting (posture, deviations, performance signals, decision states), producing executive-ready insights that inform prioritization and risk decisions.  

• Lead adoption of automation and AI-enabled analysis to scale oversight (classification support, anomaly surfacing, trend detection, change summarization), reducing manual effort and improving consistency of decision inputs. 

Ensure explicit decision-making and institutional memory 

• Ensure readiness gaps, deviations from standard, and performance tradeoffs are framed with evidence and brought into the appropriate forums for explicit decisions and clear accountability.  

• Establish decision capture practices so acceptance/remediation outcomes, rationale, and revisit criteria are traceable and reusable over time.  

Lead and develop a small technical team 

• Manage and develop junior technical associates/analysts; set direction, coach technical rigor, and establish reusable analysis/tooling patterns to scale APRA outcomes.  

• Create a high-leverage operating rhythm where oversight scales through systems and automation rather than reliance on heroics.  

Qualifications / Requirements 

Required 

• 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.  

• 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.  

Preferred / Plus 

• Experience managing or designing technical frameworks supporting internal or industry analytics engines (e.g., model integration standards, parameter frameworks, configuration registries, certification/readiness pipelines). 

• Experience applying AI-enabled analytics or automation techniques to operational oversight, anomaly detection, or decision support at scale. 

Our benefits

To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

Guidance on AI use for candidates

At BlackRock, AI has long been part of how we work – enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we’ve provided guidance on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.

About BlackRock

At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being.  Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.

This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.

To learn more about BlackRock, please visit Careers.BlackRock.com. We also encourage you to get to know us on LinkedIn, Instagram, YouTube, X, and TikTok.

BlackRock is proud to be an equal opportunity workplace. We are committed to equal employment opportunity to all applicants and existing employees, and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. View the EEOC’s Know Your Rights poster and its supplement and the pay transparency statement.

BlackRock is committed to full inclusion of all qualified individuals and to providing reasonable accommodations or job modifications for individuals with disabilities. If reasonable accommodation/adjustments are needed throughout the employment process, please email Disability.Assistance@blackrock.com. All requests are treated in line with our privacy policy.