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Technology Executive - Senior AI Platform

Bank of America · Charlotte, NC · United States

Senior AI Platform Executive – Lead enterprise AI initiatives at Bank of America Drive AI innovation, governance, and scale across banking operations

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Senior AI Platform Executive – Lead enterprise AI initiatives at Bank of America

Drive AI innovation, governance, and scale across banking operations

Overview

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.

Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.

Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

Job Description

This job is responsible for building and leading an organization to deliver technology products and services that meet strategic business outcomes. Key responsibilities include enabling the portfolio strategy by setting strategic technology outcomes, creating a resource and people development strategy, managing the financial and resource plan, advocating and advancing organizational agility, improving end-to-end processes, and promoting learning and improvement. Job expectations may include coaching, mentoring, and driving leadership succession planning and development of employees.

Developer Experience (DevEx)

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:

Responsibilities

Managerial Responsibilities

This position may also have responsibilities for managing associates. At Bank of America, all managers at this level demonstrate the following responsibilities, in addition to those specific to the role, listed above.

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

Skills

Business Acumen

Financial Management

Influence

Result Orientation

Risk Management

Analytical Thinking

Collaboration

Data Management

Stakeholder Management

Technical Strategy Development

Architecture

DevOps Practices

Solution Delivery Process

Solution Design

User Experience Design

Shift & Hours

Shift: 1st shift (United States of America)

Hours Per Week:

40

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