Director - Data & Analytics, BlackRock Investment Stewardship

About This Role

The BlackRock Investment Stewardship team (BIS) operates across three regions – the Americas (New York and San Francisco); Europe, Middle East and Africa (London); and Asia-Pacific (Tokyo, Hong Kong, Singapore and Sydney) – and undertakes engagement with and proxy voting at portfolio companies on behalf of index clients globally. This is an exciting opportunity to join a team of high performing specialists globally.

Team Overview

The BIS team’s activities are guided by BIS’ role as a fiduciary on behalf of our clients. In this role, the Director will lead the Data & Analytics team within BIS supporting the delivery of processes and tools on behalf of the global BIS team. The role is based in New York, and reports to the Head of Platform, BIS.

Role

The Director will lead the BIS Data & Analytics team, managing three engineers based in New York. The successful candidate will be responsible for delivering global, data-centric stewardship capabilities including research and reporting, which will complement the qualitative company-specific research conducted by BIS engagement and voting analysts. In this role, the Director has responsibility, in close partnership with BIS’ engagement and voting analysts, to drive the buildout and maintenance of various tools and processes in support of BIS’ engagement, voting and client reporting operations.

Key Responsibilities

• Enable the stewardship platform, spanning research, voting and client reporting
• Leverage expertise in automation to improve analyst efficiency and controls
• Serve as the golden source of truth for data-rich publications
• Direct team of data analysts in appropriate design and use of data tools and reports

The Ideal Candidate

Will have 8-12 years of experience in data engineering, recent experience in evaluating and deploying modern AI techniques, an advanced degree (Masters) in a technical field (Computer Science, Statistics), demonstrated experience with building research and analytics platforms, expert-level proficiency in relational modeling and complex query optimization, experienced in AI including orchestration and building workflows, UI/UX, and building RAG-based systems, demonstrated experience using Python or C# to automate workflows and solve engineering hurdles, significant experience with Snowflake (specifically Lake House implementations), effective communication skills, collaborative working style, with strong interpersonal skills, experience of engaging and working effectively with partner technology teams in a multi-national organization.

Pay and Benefits

For New York, NY Only the salary range for this position is USD$200,000.00 - USD$250,000.00. Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.

BlackRock’s Hybrid Work Model

Our 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.

Guidance on AI Use

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.