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
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( opens in new window) 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( opens in new window). We also encourage you to get to know us on LinkedIn( opens in new window), Instagram( opens in new window), YouTube( opens in new window), X( opens in new window), and TikTok( opens in new window).
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.
