Blackrock

Director - Data & Analytics, BlackRock Investment Stewardship

New York, NY · Director

Sponsorship not specifiedDetected 7 days ago

PythonC#SnowflakeData AnalysisData EngineeringRAGStatisticsCorporate LawResearchCommunicationCollaborationCritical Thinking

About the role

The BlackRock Investment Stewardship team (BIS) operates across three regions - the Americas (New York and San Francisco)
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.

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 t he Aladdin Product Group, and Risk and Quantitative Analysis to build, maintain and improve technological solutions
Direct team of data analysts in appropriate design and use of data tools and reports
Experience d 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
Experience of engaging and working effectively with partner technology teams in a multi- national organization
At BlackRock, AI has long been part of how we work - enhancing decision-making, improving operations, and helping us deliver better outcomes for clients.
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.
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.

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
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.
The ideal candidate will have:

12 years of experience in data engineering
Recent e xperience 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
Ability to i ntegrate cutting-edge AI into BIS workflow.
S hould be comfortable with RAG (Retrieval-Augmented Generation) search, Agentic Workflows, and AI embeddings to help query massive datasets intuitively

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.

Our clients, and the people they serve, are saving for retirement, paying for their children's educations, buying homes and starting businesses.
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.
As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being.

on), 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 applicab

This listing is sourced directly from Blackrock's careers page and normalized into a canonical job model.