About this role Business Unit Overview: US Wealth Advisory (USWA) Business delivers BlackRock's full set of capabilities - iShares, alpha-seeking and alternative products, portfolio solutions and technology services - to wealth management firms and financial advisors in the US. The Advisor Engagement group within the USWA Business delivers a broad set of services and client engagement approaches that amplify the work of our client teams. This includes digital client engagement, business consulting, thought leadership, advisor growth programs, and advisor education. The team also works closely with Global Marketing to design an integrated USWA marketing strategy. WEA (Wealth Enablement and Analytics) Engineering team within Advisor Engagement group is responsible for developing new tools and capabilities which enable Sales, Portfolio Consulting, and other Wealth Distribution partners to self-service their advisor engagements, and drive innovation and scale. Job Purpose/Background: We are seeking an energetic professional to lead a team of Full Stack developers and have hands on technical experience in design and development of Python based Applications and Angular based Interactive Data Visualization solutions. The successful candidate will play a key role in advancing the organization's Applied AI strategy by integrating AI-powered capabilities into portfolio design platforms, engineering workflows, and business processes. The individual will identify opportunities where AI can create measurable business value, improve productivity, and enhance client and advisor experiences while ensuring responsibility and governed adoption of AI technologies. The individual must have a solid understanding of the software development lifecycle and extensive experience building multi-tier applications. The ideal candidate will thrive in a work environment that requires strong problem-solving skills and independent self-direction, coupled with an aptitude for team collaboration and open communication. Attention to detail and creativity in problem solving are critical skills. Key Responsibilities: Lead and develop a high-performing team of Full Stack engineers, providing both technical leadership and people management while fostering a culture of accountability, collaboration, innovation, and continuous improvement. Drive the successful delivery of strategic technology initiatives and complex programs, ensuring high-quality execution, operational excellence, and timely delivery in partnership with business stakeholders and cross-functional engineering teams. Define and execute the technical strategy, architecture, and roadmap for portfolio design platforms and applications, leveraging enterprise capabilities and promoting scalable, reusable solutions that maximize business value. Champion Agile software development practices including planning, prioritization, backlog management, sprint execution, and continuous improvement to enhance team effectiveness and delivery outcomes. Establish and maintain engineering best practices across software development, production readiness, operational resilience, risk management, and platform governance. Lead the adoption of Applied AI technologies and AI-assisted engineering practices to improve developer productivity, accelerate delivery, and enhance business and client experiences. Identify, evaluate, and deliver AI-enabled solutions, intelligent workflows, and automation opportunities that drive advisor engagement, operational efficiency, and measurable business impact. Partner closely with enterprise technology teams and business stakeholders to evaluate emerging technologies and translate innovative capabilities into scalable, production-ready solutions. Promote responsible AI adoption by establishing best practices around governance, security, model evaluation, risk management, and compliance with enterprise standards. Serve as a strategic thought partner to business and technology leaders by challenging the status quo, identifying opportunities for innovation, and driving transformational initiatives that advance organizational objectives. Mentor and coach engineers and technical leaders, promoting AI literacy, technical excellence, and professional development across the organization. Adapt priorities and execution plans to meet evolving business needs while supporting firm-wide initiatives and delivering high-impact outcomes. Qualifications: Bachelors or Master’s Degree in Computer Science, Engineering or a related discipline. Eligibility Criteria: 9–12 years of software engineering experience, preferably within the financial services industry, with at least 4 years leading high-performing Full Stack development teams. Strong hands-on expertise in Python and modern web application development using frameworks such as Angular or React, with a solid understanding of APIs, HTTP, and REST-based architecture. Proven experience designing, building, and supporting enterprise-scale applications, including production infrastructure, deployment architectures, resiliency strategies, and business continuity planning. Experience leveraging AI-assisted development tools and delivering AI-enabled applications, intelligent workflows, or automation solutions that improve business outcomes and engineering productivity. Strong understanding of Generative AI technologies, including Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), AI agents, and enterprise AI architectures. Hands-on experience with AI, Machine Learning, Generative AI, or Agentic AI solutions, including exposure to vector databases, semantic search, AI orchestration frameworks, and enterprise AI platforms. Familiarity with Responsible AI principles, governance frameworks, model risk management, and the practical application of AI to software engineering, analytics, advisor engagement, and workflow automation. Demonstrated ability to make sound technical and business decisions by balancing risk, governance, operational considerations, and long-term strategic objectives. Strong stakeholder management, communication, and influencing skills, with a proven ability to collaborate effectively across business and technology organizations globally. Track record of delivering high-impact solutions, building strong partnerships, and achieving high levels of business stakeholder satisfaction. Passion for technology and business innovation, with the ability to connect strategic objectives to technical execution and identify opportunities to drive scale and efficiency. Knowledge of the financial services industry and wealth management domain is strongly preferred. Flexibility to collaborate across global teams and support varying business and delivery schedules as needed. 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. BlackRock's purpose is to help more and more people experience financial well-being. As a global investment manager and a leading provider of financial technology, our clients—from grandparents, doctors, and teachers to large institutions—turn to us for the solutions they need when planning for their most important goals. People join our firm from around the world to gain real-world experience while making an impact. Discover how you can have a career at BlackRock that's exciting, rewarding and full of possibilities.

Full Stack Engineering Lead (Python, Angular/React), US Wealth Advisory, Vice President.

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