Full Stack Engineering Lead (Python, Angular/React), US Wealth Advisory, Vice President
BlackRock · Posted Oct 5
Investment management, asset management, risk analytics, and wealth services
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About the role
The Wealth Enablement and Analytics (WEA) Engineering team within BlackRock's US Wealth Advisory Advisor Engagement group builds tools and capabilities that let Sales, Portfolio Consulting, and other Wealth Distribution partners self-service their advisor engagements. The work spans Python-based applications and Angular-based interactive data visualization platforms for portfolio design, with a focus on integrating Applied AI capabilities into engineering workflows and business processes. This Vice President role leads a team of Full Stack engineers, owns the technical strategy and architecture for portfolio design platforms, and drives responsible AI adoption across delivery.
What you will do
- 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.
Skills used in this role
What the employer is looking for
- Bachelors or Master's Degree in Computer Science, Engineering or a related discipline.
- 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.
Benefits and support
- strong retirement plan
- tuition reimbursement
- comprehensive healthcare
- support for working parents
- Flexible Time Off (FTO)
About BlackRock
BlackRock, Inc. is an American multinational investment management corporation and the world's largest asset manager. The firm provides institutional and individual clients with a broad range of investment, advisory, and risk management products, including its proprietary Aladdin financial technology platform. Headquartered in New York City, BlackRock manages trillions in assets across global equity, fixed income, alternative investments, and iShares exchange-traded funds (ETFs).
- Industry
- Investment Management
- Company size
- 24900 employees
- Founded
- 1988-03-09
- Location
- New York, New York, USA
- Funding stage
- Public Company
Leadership
Chairman and Chief Executive Officer
President and Director
Chief Financial Officer and Global Head of Corporate Strategy
Chief Operating Officer
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