AI & Technology Enablement – Single Security Analytics, Director

About this role

Role Overview

This role sits within the Single Security pillar of the Aladdin Analytics Product team, with a mandate to advance how we leverage AI and modern data technologies across our analytics platform.

The Director will operate as a horizontal technical leader, partnering across Product, Risk Modeling, and Engineering to improve the scalability, efficiency, and transparency of our analytics. The focus is on reducing manual processes, strengthening controls, and enabling more systematic, technology-driven workflows—while also unlocking new capabilities in how analytics are generated and delivered.

This is a hands-on role that combines product judgment with technical depth, with accountability for driving a set of high-impact initiatives from concept through execution.

Key Responsibilities

• Identify and lead high-priority initiatives to apply AI and advanced data technologies across Single Security analytics workflows

• Drive the automation and modernization of manual or fragmented processes, particularly across data ingestion, validation, analytics production, and reporting

• Partner closely with Product, Risk, and Engineering teams to translate business needs into scalable, production-ready solutions

• Prototype and help operationalize AI-enabled approaches (including LLMs and workflow automation) to improve efficiency and insight generation

• Enhance the interpretability and transparency of analytics through improved explainability and diagnostics

• Strengthen process resiliency through better monitoring, anomaly detection, and intelligent exception handling

• Contribute to product strategy by embedding AI and data capabilities into the evolution of analytics offerings

• Act as a technical leader and internal advocate for pragmatic, high-impact adoption of AI across the platform

Focus Areas

• Process & Data Automation:

  • Simplifying and scaling complex data and analytics workflows, including ingestion, normalization, and validation of structured and unstructured datasets

  • Applying AI to mapping, data quality management, and exception handling to reduce manual intervention and improve throughput

• Analytics Enhancement:

  • Improving how risk signals and analytics are generated, contextualized, and delivered across client and internal use cases

  • Leveraging AI to surface key drivers, explain model outputs, and enable deeper, more intuitive analysis of portfolios and scenarios

• Workflow Modernization:

  • Transitioning fragmented or manual processes into more systematic, technology-enabled workflows across analytics production and delivery

  • Introducing automation across recurring processes (e.g., monthly runs, testing, validation) to improve consistency and scalability

• Controls & Observability:

  • Increasing trust in analytics through enhanced monitoring, anomaly detection, and governance of data and model outputs

  • Establishing more robust, transparent controls to support auditability and ongoing surveillance of analytics workflows

Business Impact

• Efficiency: Reduced operational complexity and manual effort through automation

• Quality & Transparency: Greater consistency, explainability, and confidence in analytics outputs

• Capability Expansion: New and enhanced analytics capabilities enabled through effective use of AI

Experience

• Proven experience in strategic leadership roles, preferably within financial services, technology, or data-driven environments.

• Strong analytical and problem-solving skills, with the ability to make tough decisions considering commercial implications and long-term viability.

• Excellent communication and relationship management abilities.

• Demonstrated success in managing large-scale cross functional projects

• Knowledge of ETL, data curation and analytical jobs

• Basic knowledge of financial instruments like Bonds, Derivatives etc.

• Basic knowledge of statistical methodologies

• Knowledge and Experience of working with large enterprise databases like Snowflake, Cassandra

Qualifications

• Bachelors/Master's in computer science with a minor in Math, Econ, or related field

• 12+ years of relevant experience

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 Employer.  We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.