Director - Data & Analytics, BlackRock Investment Stewardship

Archer

New York (NY)

Hybrid

USD 200,000 - 250,000

Full time

22 hours ago
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Benefits offered by this job

Strong retirement plan
Tuition reimbursement
Comprehensive healthcare
Support for working parents
Flexible Time Off (FTO)

Job summary

BlackRock is seeking a Director to lead the BIS Data & Analytics team in New York, delivering data-centric stewardship capabilities to complement qualitative research. You will guide the buildout of tools and processes supporting BIS engagement, voting, and client reporting, while partnering with analysts and other tech teams.

The role emphasizes AI integration, robust data pipelines, and strong senior-level collaboration across multinational stakeholders; a passion for innovative stewardship is

Qualifications

  • 8–12 years of experience in data engineering.
  • Experience deploying modern AI techniques.
  • Undergraduate degree is required; an advanced degree (Masters) is a plus within a technical field (Computer Science, Statistics).
  • Demonstrated experience with building research and analytics platforms.
  • Expert-level proficiency in relational modeling and complex query optimization.
  • Experience with AI orchestration, workflows, UI/UX, and building RAG-based systems.
  • Design robust schemas and ETL/ELT pipelines to ingest corporate filings, global news, and financial data.
  • Ability to integrate cutting-edge AI into BIS workflow; comfortable with RAG search and AI embeddings.

Responsibilities

  • Enable the stewardship platform spanning research, voting and client reporting.
  • Leverage automation to improve analyst efficiency and controls.
  • Support voting and engagement client reporting by designing and maintaining a code stack including Aladdin interfaces.
  • Partner with other analytical and technology functions across BlackRock to build and improve solutions.
  • Ensure integrity of BIS data environment and oversee quality of BIS datasets; serve as a golden data source for publications.
  • Direct team of data analysts in design and use of data tools and reports.

Skills

Data engineering
AI techniques
Relational modeling
Query optimization
Python
C#
Snowflake
Team leadership
Stakeholder communication
RAG-based systems

Education

Bachelor's degree in Computer Science or Statistics
Master's degree in CS/Statistics

Tools

Aladdin
ETL/ELT pipelines

Job description

About This Role
Function Description

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.

The successful candidate should possess a passion for creative and critical thinking about the stewardship ecosystem, investment research, financial and corporate governance data analysis, as well as working closely with the broader technology business at BlackRock.

Key Responsibilities
  • Enable the stewardship platform, spanning research, voting and client reporting
  • Leverage expertise in automation to improve analyst efficiency and controls
  • Support voting and engagement client reporting by designing and maintaining a code stack utilizing BlackRock’s applications and tools, including managing any interface with Aladdin and other external applications and vendors
  • Partner with other analytical and technology functions across BlackRock, including the Aladdin Product Group, and Risk and Quantitative Analysis to build, maintain and improve technological solutions
  • Ensure integrity of the BIS data environment and oversee the quality control of BIS proprietary datasets. 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
  • Undergraduate degree is required, and an advanced degree (Masters) is a plus within a technical field (Computer Science, Statistics)
  • Demonstrated experience with building research and analytics platforms
  • Expert-level proficiency required. The successful candidates should be a master of relational modeling and complex query optimization
  • Experienced in AI including orchestration and building workflows, UI/UX, and building RAG-based systems
  • Design robust schemas and ETL/ELT pipelines to ingest corporate filings, global news, and financial data, maximizing our ability to deliver rapid insights
  • Ability to integrate cutting-edge AI into BIS workflow. Should be comfortable with RAG (Retrieval-Augmented Generation) search, Agentic Workflows, and AI embeddings to help query massive datasets intuitively
  • Demonstrated experience using Python or C# to automate workflows and solve engineering hurdles
  • Significant experience with Snowflake (specifically Lake House implementations)
  • Effective communication skills. The successful candidate must have the confidence and ability to interact at the most senior levels and collaborate with both technical and non-technical personnel
  • Collaborativeworking style, with strong interpersonal skills
  • Experience of engaging and working effectively with partner technology teams in a multi-national organization

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.

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.

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.

BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.

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