Senior Technology Manager

Bank of America•Charlotte, NC

9d•Onsite

About The Position

This job is responsible for building and leading a team to deliver technology products and services that meet business outcomes. Key responsibilities include developing a technology strategy, ensuring technology solutions comply with applicable standards, promoting design, engineering, and organizational practices, and advocating and advancing modern, Agile solution delivery practices. Job expectations may include coaching, mentoring, providing feedback and hands on career development, identifying emerging talent, fostering leadership skills, and managing stakeholders. We are seeking a highly accomplished Senior Technology Manager for AI Platform to lead the strategy, delivery, and governance of our enterprise‑wide AI and generative AI platforms and agents. As one of the world’s largest and most regulated financial institutions, we are rapidly scaling the use of AI across thousands of applications, employees, and business processes. This Sr. Manager will be responsible for building and operating enterprise‑grade AI capabilities, establishing robust governance, and ensuring safe, compliant, and value‑driven adoption of AI across all lines of business. This role requires a visionary leader in the areas AI platforms, multi‑model architectures, Copilot Studio governance, Power Platform scale, secure by design engineering, and executive stakeholder management. The ideal candidate brings both strategic and hands-on leadership experience, with proven success driving platform adoption at global scale while partnering closely with Technology, Risk, Security, Compliance, and Business Executives. Developer Experience (DevEx) provides enterprise technical standards and common technical services, platforms, and tools that are leveraged by delivery teams across all BofA lines of business. We lead the solution design of those common services, platforms, and tools within our portfolio. With a strong sense of ownership for both personal deliverables and value stream goals, we perform role functions including:

Requirements

15+ years in senior enterprise technology leadership, including accountability at the Sr. Management 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
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
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
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
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.
Bachelor’s degree in Computer Science, Engineering, Applied Mathematics & Information Systems, or a related technical field
Influence
Risk Management
Solution Design
Stakeholder Management
Technical Strategy Development
Analytical Thinking
Application Development
Collaboration
Result Orientation
Solution Delivery Process
Agile Practices
Architecture
Automation
Data Management
DevOps Practices

Nice To Haves

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

Responsibilities

Builds and manages teams by performing financial activities to inform workforce strategy and hiring practices, setting and tracking maturity and quality objectives, and training employees/teams to address feedback and achieve quality and performance objectives
Facilitates performance and career development of employees/teams through performance reviews, coaching, and creating development plans that are needed to build competencies and skills
Manages solution delivery and application performance in production (app health, resiliency, performance, security, enterprise data management standards, audit exams and reviews), ensuring all relevant risk, financial, and compliance policies are met
Manages relationships with business and technology partners and leads and creates followership in Communities of Practice in the organization
Contributes to the technology strategy for their technical domain
Creates an inclusive and healthy working environment and helps to resolve organizational impediments/blockers
Ensures that execution is aligned with product strategy by working with product management and other stakeholders
Improve the experience for our developers, making it easier to deliver industry-leading solutions, while managing work efficiently and with the right controls
Advance our technology platforms through innovation
Reduce risk and improve quality across our technology portfolio by aligning to a single enterprise architecture strategy and delivering governance that enables consistency, integration and automation
Models an inclusive environment for employees and clients, aligned to company Great Place to Work goals.
Demonstrates deep process knowledge, operational excellence and innovation through a focus on simplicity, data based decision making and continuous improvement.
Communicates enterprise decisions, purpose, and results, and connects to team strategy, priorities and contributions.
Ensures proper risk discipline, controls and culture are in place to identify, escalate and debate issues.
Provides inspection, coaching and feedback to motivate, differentiate and improve performance.
Actively manages expenses and budgets in alignment with objectives, making sound financial decisions.
Assesses talent and builds bench strength for roles across the organization.
Delivers results by effectively prioritizing, inspecting and appropriately delegating team work.