AI, Data Analytics/Data Management/Data Science – Aladdin

About the Team

The Data Science & Artificial Intelligence (AI) team helps transform how technology, data, and AI drive better outcomes for clients and the business. The team partners closely with client-facing teams, product strategists, engineers, and business leaders to develop and scale AI-powered solutions that enhance productivity, improve decision-making, strengthen client engagement, and unlock commercial value. This is a highly impactful team focused on translating innovation into real-world business outcomes and advancing the future of AI-powered client engagement across the firm.

About the Role

We are seeking a highly motivated AI Solutions Lead to join the Data Science & AI team. This role combines technical expertise in machine learning, generative AI, and data engineering with the ability to translate business challenges into scalable AI solutions. You will partner with stakeholders across Sales, Product Strategy, Chief Operating Officer (COO) functions, and Technology to identify opportunities, develop AI-driven products, and deploy solutions that drive measurable business outcomes. Success in this role requires intellectual curiosity, analytical thinking, hands-on technical skills, and the ability to collaborate across multidisciplinary teams.

Responsibilities

• Develop artificial intelligence (AI), machine learning (ML), and advanced analytics solutions that drive commercial growth, improve client experiences, and enhance operational efficiency.
• Design, develop, evaluate, and deploy AI and machine learning solutions in partnership with engineering teams.
• Build intelligent AI-powered assistants, agentic workflows, and Retrieval-Augmented Generation (RAG) applications that deliver measurable business value.
• Establish experimentation, evaluation, monitoring, and performance measurement frameworks to assess business impact and solution effectiveness.
• Leverage modern cloud, data, and directed acyclic graph-based workflow orchestration frameworks for data and batch processing to build scalable AI solutions.
• Champion responsible AI practices, model governance, security, scalability, and reliability standards.
• Partner across product, engineering, business, and AI teams to advance enterprise AI capabilities and communicate insights effectively.

Qualifications

• Degree in Computer Science, Engineering, Statistics, Mathematics, Physics, Economics, or another quantitative discipline; advanced degrees are a plus.
• Demonstrated ability to build and deploy AI and machine learning solutions in production environments.
• Strong technical proficiency in Python, Structured Query Language (SQL), data engineering, and analytical platforms.
• Demonstrated expertise in machine learning, statistics, experimentation, and predictive modeling.
• Experience developing generative AI applications using Large Language Models (LLMs), prompt engineering, natural language processing (NLP), and related techniques.
• Experience in asset management, financial services, fintech, or modern cloud-based AI ecosystems is preferred.
• Strong communication, stakeholder management, problem-solving, and responsible AI practices.

Pay

For New York, NY, the salary range for this position is USD $167,500.00 - USD $225,000.00. 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.

Benefits

• Strong retirement plan
• Tuition reimbursement
• Comprehensive healthcare
• Support for working parents
• Flexible Time Off (FTO) to relax, recharge, and be there for the people you care about

Schedule

BlackRock’s hybrid work model requires employees 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. New joiners can expect this hybrid model to accelerate their learning and onboarding experience.