Manager Research Technology, Vice President – Multi-Asset Strategies & Solutions

BlackRock

. Lead design, delivery, and ongoing improvement of data, automation, analytics, and applied AI solutions supporting BMR investment workflows .

Posted 9/17/2026full-timeNew York City • New York • United StatesLead💰 $127,500 - $194,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading the design and implementation of data, automation, analytics, and AI solutions within investment management. Proficient in Python, SQL, and various data visualization tools to enhance research workflows and data accessibility.

Highest-signal resume keywords

Python ProgrammingSQL ProficiencyData Automation SolutionsAnalytics Tool DevelopmentAI and Machine Learning Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisSolution DesignData Quality ImprovementData AccessibilityData WranglingProduction Solution SupportChange ManagementTesting StandardsMonitoring StandardsResiliency Standards

Soft Skills

Stakeholder ManagementCommunication SkillsProblem-Solving SkillsProject ManagementComplex Process Simplification

Tools & Technologies

StreamlitTableauPower BIAirtableSnowflakeAPIsEnterprise Data Platforms

Industry Keywords

Investment ManagementFinancial ServicesResearch WorkflowsData GovernanceAI-Enabled Solutions

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

Lead design, delivery, and ongoing improvement of data, automation, analytics, and applied AI solutions supporting BMR investment workflows
Contribute to the BMR Technology & Data Solutions roadmap
Identify opportunities to improve research workflows, data accessibility, data quality, scalability, and controls
Lead technology and data initiatives from prioritization through implementation
Align scope, trade-offs, delivery milestones, and adoption needs with stakeholders
Design, build, implement, and support data, automation, and analytics solutions
Apply standards for testing, monitoring, resiliency, access controls, change management, and maintainability
Translate complex business requirements into scalable technical solutions
Partner with research, investment, data, and vendor stakeholders across public and private markets
Develop and support internal applications, dashboards, and analytics tools using Python, Streamlit, Airtable, Tableau, Power BI, APIs, and internal data platforms
Prototype and productionize AI and LLM capabilities for document processing, data extraction, research synthesis, and monitoring
Establish data requirements, improve usability, and structure data assets for analytics, automation, and AI-enabled solutions
Support governance, documentation, reusable solution patterns, and scalable ways of working

Requirements

What you’ll need

Demonstrated experience leading delivery of technology, data, automation, analytics, or AI-enabled solutions in investment management or financial services
Manager research experience is beneficial
Strong Python programming and solution design skills
Experience building, supporting, and enhancing production solutions
Proficiency with SQL and relational databases
Experience querying, joining, validating, and wrangling large datasets
Experience with Streamlit, Tableau, Power BI, Airtable, Snowflake, APIs, and enterprise data platforms
Working knowledge of AI and machine learning concepts
Experience with applied LLM use cases and production controls
Ability to deliver complex programs independently and manage multiple priorities
Ability to coordinate across stakeholders, simplify complex processes, and implement durable change
Excellent communication, stakeholder management, and problem-solving skills
Strong interest in financial markets and investment analytics

Benefits

Comp & perks

Annual discretionary bonus
Healthcare
Leave benefits
Retirement benefits
Strong retirement plan
Tuition reimbursement
Comprehensive healthcare
Support for working parents
Flexible Time Off (FTO)
Hybrid work model with flexibility to work from home 1 day a week