Live opening · Posted 4 days ago
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About this role
Team Overview
BlackRock is investing in AI-powered products that make our people and our clients more productive. We are seeking a Technical Business Analyst to support an AI Solutions Product Owner in shaping, building, and delivering AI solutions across the enterprise. Sitting at the intersection of business, product, and engineering, you will translate business needs into clear requirements, help evaluate the quality of AI-driven features, and keep delivery on track.
This is a high-impact, hands-on role for a curious problem-solver who is excited to work at the frontier of generative AI.
Responsibilities:
Partner with AI Solutions Product Owner to elicit, document, and prioritize business and technical requirements, writing clear user stories and acceptance criteria
Help maintain and groom the product backlog and support sprint planning, refinement, and other Agile ceremonies
Map current and future-state business processes and workflows impacted by AI solutions, identifying opportunities and gaps
Query and analyze data to inform product decisions, build simple reports, and measure adoption and impact against KPIs
Support evaluation of AI/LLM model outputs for accuracy, quality, and business fit; help define and run test cases
Coordinate UAT, define scenarios, capture feedback, and validate that solutions meet requirements before release
Produce and maintain functional specifications, feature documentation, workflows, and decision logs
Act as a connective tissue between product, engineering, data science, and business teams, translating between technical and non-technical audiences
Track milestones, dependencies, and risks, and provide concise status updates to stakeholders
Help embed data governance, privacy, and responsible AI considerations into how solutions are designed and delivered
Required Skills & Qualifications:
3-5 years of experience in business analysis or a technical business analyst role
Strong skills in gathering and documenting requirements, including user stories, business requirements, and acceptance criteria
Proficient in analyzing and interpreting data and trends
Working knowledge of AI/ML and generative-AI concepts, such as large language models (LLMs), prompt engineering, and model evaluation
Excellent written and verbal communication, with the ability to translate technical concepts for business audiences
Strong analytical and problem-solving skills, with high attention to detail
Ability to manage multiple priorities and thrive in a fast-paced, evolving environment
Preferred Qualifications:
Experience in financial services or asset management
Familiarity with cloud platforms (Azure or AWS) and modern data pipelines
Exposure to Python or another scripting language for data analysis
Understanding of data governance, data privacy, and responsible AI frameworks
Prior experience supporting AI/ML or data product delivery

For New York, NY Only the salary range for this position is USD$115,000.00 - USD$147,500.00 . 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 benefits
To 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 model
BlackRock’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 candidates
At 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.
About BlackRock
At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. 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.
This mission would not be possible without our smartest investment – the one we make in our employees. 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.
To learn more about BlackRock, please visit Careers.BlackRock.com. We also encourage you to get to know us on LinkedIn, Instagram, YouTube,
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