About this roleYour team BlackRock Manager Research (BMR) sits within the Multi-Asset Strategies & Solutions (MASS) group at BlackRock. BMR generates alpha through disciplined manager research, selection, and monitoring across public and private asset classes. The BMR Technology & Data Solutions function develops scalable technology, data, automation, analytics, and artificial intelligence capabilities that enhance the efficiency, quality, and consistency of the manager research process.
As part of this team, you will work at the intersection of investment research, data, technology, and innovation. You will partner closely with research, allocator, data science, technology, and operations teams to deliver solutions that improve decision-making, streamline workflows, and strengthen the research platform. You will have the opportunity to influence investment research at scale and help shape the future of data and artificial intelligence within BMR.
Your role and impact The Vice President within BMR Technology & Data Solutions 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.
This role will partner closely with research, allocator, data science, technology, and operations stakeholders to translate business needs into scalable solutions, improve data quality and workflow efficiency, and strengthen controls across third-party manager research processes. Operating at the intersection of manager research, data engineering, automation, and applied AI, you will own complex workstreams, exercise sound judgment on technical and operational trade-offs, and influence priorities through expertise and partnership.
You will also help define and evolve data products that support manager research workflows by establishing data requirements, improving usability, and ensuring data assets are structured to support analytics, automation, and AI-enabled solutions. Through effective governance, documentation, and reusable solution patterns, you will help BMR establish scalable and consistent ways of working.
Your responsibilities In every role at BlackRock, you'll be expected to apply sound judgement and critical thinking to solve complex problems, adapt as the business evolves, and combine the curiosity to explore new approaches and technologies with the rigor to challenge the results. The scope of this role also includes the following 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.
Your experience - 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.
- Proven 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, with the ability to influence through expertise, credibility, and partnership and a strong interest in financial markets and investment analytics.
For New York, NY Only the salary range for this position is USD$137,500.00 - USD$194,000.00 . 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.For Atlanta, GA Only the salary range for this position is USD$127,500.00 - USD$184,000.00 . 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 benefitsTo 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 modelBlackRock'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 candidatesAt 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.
