Description
BlackRock's Multi-Asset Strategies & Solutions (MASS) group is seeking a Vice President to join the BlackRock Manager Research (BMR) Technology & Data Solutions team.
This role will lead the design, delivery, and ongoing improvement of data, automation, analytics, and applied AI solutions that support BMR investment workflows across public and private markets.
Key Responsibilities:
- Contribute to the BMR Technology & Data Solutions roadmap by identifying opportunities to improve research workflows, data accessibility, data quality, scalability, and controls.
- Lead technology and data initiatives from prioritization through implementation, aligning scope, trade-offs, delivery milestones, and adoption needs with stakeholders.
- Design, build, implement, and support data, automation, and analytics solutions while applying standards for testing, monitoring, resiliency, access controls, change management, and maintainability.
- Translate complex business requirements into scalable technical solutions, challenging unnecessary complexity and escalating risks and dependencies early.
- Partner with research, investment, data, and vendor stakeholders to improve data coverage, output quality, workflow transparency, and stakeholder usability 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, with appropriate controls and human oversight.
Requirements:
- Demonstrated experience leading the 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, with experience building, supporting, and enhancing production solutions.
- Proficiency with SQL and relational databases, including querying, joining, validating, and wrangling large datasets for analysis, reporting, and operational workflows.
- Experience with data applications, visualization, analytics, and data platform technologies such as Streamlit, Tableau, Power BI, Airtable, Snowflake, relational databases, APIs, and enterprise data platforms.
- Working knowledge of AI and machine learning concepts, including applied LLM use cases and the controls required to move solutions from prototype to production.
Benefits:
- Competitive salary: USD$155,000.00 - USD$210,000.00 (New York, NY) or USD$140,000.00 - USD$200,000.00 (Atlanta, GA)
- Annual discretionary bonus
- Comprehensive healthcare, leave benefits, and retirement benefits
- Flexible Time Off (FTO)
- Tuition reimbursement
- Support for working parents