BlackRock

Technical Business Analyst, AI Solutions, Associate / New York, NY

BlackRock · New York, New York, United States · $115K–$148K/yr

Financial Services · 10,001+ employees

Yesterday
Mid (2-5 yrs) Full-time United States
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About the role

The Technical Business Analyst will partner with the Product Owner to translate business needs into technical requirements and user stories for AI solutions. They will also manage Agile ceremonies, analyze data to measure product impact, and coordinate user acceptance testing to ensure high-quality delivery.

What they look for

Business analysis Requirements gathering User stories Agile delivery Data analysis Generative AI Large language models Prompt engineering Model evaluation Process mapping User acceptance testing Stakeholder communication Data governance Python Azure AWS

Requirements

Candidates should have 3–5 years of experience in business analysis with a strong understanding of AI/ML concepts and data analysis. Proficiency in documenting requirements and the ability to communicate technical concepts to non-technical stakeholders are essential.

Benefits

Healthcare Retirement plan Tuition reimbursement Support for working parents Flexible Time Off Annual discretionary bonus

Full description

About this role

Job Title

Technical Business Analyst

Level

Associate

Location

New York, NY

Function

Workplace AI - AI Solutions

Employment Type

Full-time

Aligns To

Valerie Castillo

About the Role

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.

Key Responsibilities

  • Requirements & user stories — Partner with AI Solutions Product Owner to elicit, document, and prioritize business and technical requirements, writing clear user stories and acceptance criteria.
  • Backlog & Agile delivery — Help maintain and groom the product backlog and support sprint planning, refinement, and other Agile ceremonies.
  • Process & workflow analysis — Map current- and future-state business processes and workflows impacted by AI solutions, identifying opportunities and gaps.
  • Data analysis — Query and analyze data to inform product decisions, build simple reports, and measure adoption and impact against KPIs.
  • AI solution evaluation — Support evaluation of AI/LLM model outputs for accuracy, quality, and business fit; help define and run test cases.
  • User acceptance testing — Coordinate UAT, define scenarios, capture feedback, and validate that solutions meet requirements before release.
  • Documentation — Produce and maintain functional specifications, feature documentation, workflows, and decision logs.
  • Stakeholder communication — Act as a connective tissue between product, engineering, data science, and business teams, translating between technical and non-technical audiences.
  • Delivery tracking — Track milestones, dependencies, and risks, and provide concise status updates to stakeholders.
  • Responsible AI — Help embed data governance, privacy, and responsible AI considerations into how solutions are designed and delivered.

Required Skills & Qualifications

  • Approximately 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, X, and TikTok.

BlackRock is proud to be an equal opportunity workplace. We are committed to equal employment opportunity to all applicants and existing employees, and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. View the EEOC’s Know Your Rights poster and its supplement and the pay transparency statement.

 

BlackRock is committed to full inclusion of all qualified individuals and to providing reasonable accommodations or job modifications for individuals with disabilities. If reasonable accommodation/adjustments are needed throughout the employment process, please email Disability.Assistance@blackrock.com. All requests are treated in line with our privacy policy.

BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.