Managing Director, Head of Digital Innovation

Key Responsibilities • Define and execute the AI and digital innovation roadmap in alignment with Capital Markets’ strategic priorities and enterprise objectives. • Identify, prioritize, and deliver high-impact opportunities across front-office, middle-office, and client-facing functions. • Champion the integration of AI into business processes to enhance performance, efficiency, and client experience. • Oversee the development and commercialization of AI platforms and solutions, including algorithmic trading, predictive analytics, intelligent automation, and generative/agentic AI. • Foster a culture of experimentation, continuous improvement, and responsible innovation across the organization. • Lead organizational change initiatives to support AI adoption, including stakeholder alignment, process redesign, and cultural transformation. • Serve as a key voice to the Executive Leadership Committee, translating AI strategy into business impact and fostering executive sponsorship. • Communicate complex technical concepts and governance requirements to non-technical stakeholders and senior management. • Partner with data science, technology, operations, and business units to deliver scalable, client-centric solutions. • Member of the Capital Markets Operating Committee, contributing to firm-wide strategic decisions. • Advocate for diversity, equity, and inclusion through leadership council participation. Qualifications • More than 15 years of experience in financial services, including at least 10 years in Capital Markets, with a strong emphasis on digital transformation, artificial intelligence, or innovation within capital markets. • Proven ability to lead complex, cross-functional initiatives with measurable business outcomes. • Strong understanding of trading technologies, data science, and client engagement models. • Exceptional communication and stakeholder management skills, including executive-level influence. • Experience in change management, training, and organizational transformation. • Deep expertise in AI governance, risk management, and regulatory compliance. • Advanced degree in a quantitative, technical, or business discipline preferred. Success Measures • Tangible commercial outcomes: revenue growth, cost savings, operational efficiency, and client value. • Scalable adoption of AI technologies and digital solutions across the business. • Robust governance, risk management, and compliance with evolving regulations. • High-performing, diverse, and empowered teams driving innovation and transformation.