Technology Executive - Senior AI Platform

Responsibilities

• Manages relationships with business and technology executives/sponsors and vendors for technical products and understands the work deliverables and performance of the Technology Management team by following outcomes from business and client feedback
• Creates an inclusive and healthy working environment and helps to resolve organizational impediments/blockers by sponsoring opportunities that improve processes, staying close to teams and their experiences, and identifying new opportunities to enhance efficiency and gain a competitive advantage
• Conducts portfolio level resourcing and financial management activities, establishes target outcomes through objectives and key results, tracks strategic technology outcomes aligned to the portfolio strategy, and promotes the organization and its resources to achieve them
• Facilitates performance and career development of teams through performance reviews, coaching, and creating development plans that are needed to build competencies and skills
• Establishes a culture of risk and compliance management, ensuring the organization is compliant with all applicable policies and standards
• Ensures that execution is aligned with Portfolio strategy by working with Portfolio Product Executives and other value stream stakeholders
• Manages procurement, vendor evaluations, and negotiating vendor contracts for technical products and services for the organization

Managerial Responsibilities

• Opportunity & Inclusion Champion: Breaks down barriers to create a more inclusive environment that supports company Great Place to Work goals.
• Manager of Process & Data: Challenges end-to-end process efficiency and effectiveness, champion data driven decision-making and removes obstacles to optimize operations.
• Enterprise Advocate & Communicator: Contributes to enterprise strategy and influence messaging to connect team contributions to business purpose, results, and success.
• Risk Manager: Inspects and challenges risk controls, governance and culture to ensure the timely identification, escalation, debate and remediation of risk across the organization.
• People Manager & Coach: Coaches to sustain and elevates organizational performance while differentiating to ensure pay for performance.
• Financial Steward: Efficiently allocates and manages resources across the organization to drive short and long term profitability.
• Enterprise Talent Leader: Inspects and manages the health of the bench to ensure succession for the organization, while supporting enterprise talent needs.
• Driver of Business Outcomes: Mobilizes organizational resources to deliver the full range of the bank’s capabilities to meet client needs and to gain competitive advantage.

Required Qualifications

• Executive Leadership & Enterprise Platforms: 15+ years in senior enterprise technology leadership, including accountability at the SVP/Managing Director level; demonstrated ownership of shared enterprise platforms used across multiple lines of business; experience operating in highly regulated environments with rigorous risk, audit, and SDLC controls; strong executive communication skills across business, technology, and risk stakeholders
• AI Platform & Copilot Studio Leadership: Direct leadership of enterprise AI platforms, including Generative AI, agent-based architectures, and multi-model/LLM-agnostic strategies; deep understanding of the AI SDLC, including pre-production testing, approvals, and recertification; proven experience designing AI platforms with reusable components, default guardrails, centralized observability, and full lifecycle management; executive ownership of Microsoft Copilot Studio as an enterprise AI surface, with experience deploying governed, enterprise-scale agents that inherit identity, enforce DLP/connector restrictions, and integrate with centralized inventories and analytics; familiarity with Copilot Studio Kit, agent review/testing workflows, analytics, and production readiness/decommissioning processes
• Power Platform Governance & Scale: Senior leadership experience across the Power Platform (Apps, Automate, Dataverse, BI); expertise implementing Managed Environments, Dev/Test/Prod strategies, and enterprise CoE governance models; proven ability to enable productivity while preventing uncontrolled citizen-developer sprawl
• Security, Risk & Compliance: Hands-on collaboration with Information Security, Risk, Legal, and Compliance teams; strong foundation in identity-first access models, connector/data source controls, and comprehensive audit logging/telemetry; experience leading secure-by-design reviews and threat modeling for AI platforms; familiarity with industry AI governance frameworks, risks, and ethics
• Platform Operating Model, Adoption & Business Value: Ability to define enterprise AI intake processes, ownership models, and tiered risk patterns for AI agents; proven track record scaling platforms from pilot to production to full enterprise adoption; demonstrated success connecting AI platforms to measurable business outcomes: productivity gains, cost reduction, and risk mitigation; experience prioritizing use cases based on ROI and compliance, including decommissioning non-viable efforts

Education

• Bachelor’s degree in Computer Science, Engineering, Applied Mathematics & Information Systems, or a related technical field

Desired Qualifications

• Master’s Degree in a technical discipline, MBA or Executive MBA