Head of Engineering for Wealth Management

Key Responsibilities

• Lead and develop a global engineering organization consisting of software engineering, quality engineering, architecture, platform engineering, and engineering management teams in support of a financial services business.
• Build, mentor, and retain high-performing engineering leaders and teams across multiple locations and time zones.
• Establish a culture of accountability, innovation, technical excellence, and customer-centric delivery.
• Drive organizational effectiveness through engineering best practices, talent development, succession planning, and performance management.
• Partner with the Head of Wealth Technology to define and execute the technology vision, engineering strategy, and multi-year modernization roadmap.
• Lead transformation of legacy platforms into scalable, cloud-native architectures leveraging microservices, APIs, event-driven design, and modern engineering practices.
• Ensure platforms meet demanding requirements for availability, resiliency, performance, scalability, and security.
• Champion engineering standards, architecture governance, and technology lifecycle management.
• Oversee engineering delivery for advisor-facing and client-facing wealth management platforms, including trading, portfolio management, retirement, planning, reporting, digital experiences, and operational workflows.
• Drive platform capabilities that improve advisor productivity, client engagement, operational efficiency, and business growth.
• Collaborate with product management and business stakeholders to translate strategic priorities into execution plans and measurable outcomes.
• Lead engineering efforts supporting enterprise data platforms, analytics capabilities, and AI-driven solutions.
• Partner with data and product teams to build scalable data architectures enabling self-service analytics, advanced reporting, machine learning, and generative AI use cases.
• Evaluate emerging technologies and identify opportunities to create competitive differentiation through innovation.
• Advance cloud-native engineering practices across AWS and modern containerized environments.
• Drive adoption of CI/CD pipelines, automated testing, infrastructure automation, observability, and Site Reliability Engineering practices.
• Establish reusable platform services and developer productivity capabilities that accelerate engineering delivery and improve quality.
• Ensure technology solutions comply with regulatory, security, privacy, and operational risk requirements.
• Partner with Information Security, Risk, Compliance, and Audit teams to maintain robust controls and governance frameworks.
• Establish operational metrics and service level objectives to continuously improve platform reliability and customer experience.

  Qualifications

  • 15+ years of progressive technology leadership experience, including leadership of large-scale software engineering organizations.
  • Experience leading organizations of 75+ engineers across multiple disciplines and geographic locations.
  • Proven track record modernizing enterprise platforms through cloud-native architectures, microservices, APIs, and event-driven systems.
  • Deep experience delivering customer-facing platforms in wealth management, capital markets, banking, fintech, retirement, or financial services.
  • Demonstrated success partnering with executive stakeholders to align technology investments with business outcomes.
  • Experience managing large-scale digital transformation initiatives with measurable business impact.
  • Must have Series 99 or ability to obtain it within 6 months.
  • Strong understanding of modern cloud architectures, preferably AWS.
  • Experience with cloud technologies including Kubernetes, EKS, ECS, serverless architectures, and distributed systems.
  • Expertise in modern software development practices, CI/CD, DevOps, observability, and engineering excellence frameworks.
  • Experience with enterprise data platforms, data lakehouses, analytics ecosystems, and AI/ML platforms.
  • Familiarity with technologies such as Java, Python, React, Kafka, Snowflake, and modern data and integration platforms.
  • Understanding of generative AI technologies, large language models, and enterprise AI adoption strategies.
  • Strategic thinker with strong execution capabilities.
  • Exceptional communicator capable of influencing across executive, business, and technical audiences.
  • Proven ability to lead through organizational transformation and change.
  • Strong customer orientation with a passion for delivering business value through technology.
  • Ability to balance innovation, delivery, operational excellence, and risk management.