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Manager Research Technology – Vice President, BlackRock Manager Research, Multi-Asset Strategies & Solutions
BlackRock. Lead design, delivery, and ongoing improvement of data, automation, analytics, and applied AI solutions supporting BMR investment workflows across public and private markets .
Posted 9/17/2026full-timeAtlanta • New York • United StatesLead💰 $140,000 - $210,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading the design and implementation of data, automation, analytics, and AI solutions within investment management, with a strong focus on stakeholder collaboration and delivering scalable technical solutions.
Highest-signal resume keywords
Python ProgrammingSQL ProficiencyData Automation SolutionsAI and Machine Learning ConceptsStakeholder Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalyticsSolution DesignData WranglingProduction Solutions EnhancementDocument ProcessingData ExtractionResearch SynthesisChange ManagementUsability GovernanceTesting Standards
Soft Skills
Excellent CommunicationProblem-SolvingComplex Program DeliveryStakeholder CoordinationProcess Simplification
Tools & Technologies
StreamlitTableauPower BIAirtableSnowflakeAPIsEnterprise Data Platforms
Industry Keywords
Investment ManagementFinancial ServicesData ProductsInvestment AnalyticsBMR Technology & Data Solutions
Tech Stack
Tools & technologiesPythonSQLTableau
About the role
Key responsibilities & impact- Lead design, delivery, and ongoing improvement of data, automation, analytics, and applied AI solutions supporting BMR investment workflows across public and private markets
- Partner with research, allocator, data science, technology, operations, investment, data, and vendor stakeholders
- Contribute to the BMR Technology & Data Solutions roadmap
- Lead technology and data initiatives from prioritization through implementation, aligning scope, trade-offs, milestones, and adoption
- 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 and escalate risks and dependencies
- Improve data coverage, output quality, workflow transparency, and stakeholder usability
- Develop and support internal applications, dashboards, and analytics tools
- Prototype and productionize AI and LLM capabilities for document processing, data extraction, research synthesis, and monitoring
- Define and evolve data products, data requirements, usability, governance, documentation, and reusable solution patterns
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, including applied LLM use cases and production controls
- Ability to deliver complex programs independently, manage multiple priorities, 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