AI Data Science Solutions Lead

About this role

Your 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. 

Your Role and Impact 

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. 

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 embrace the curiosity to explore new approaches and technologies while challenging outcomes. The scope of this role also includes the following 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. 

Your Experience 

• 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.  

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 Employer.  We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.