Senior Technology Manager - AI & Intelligent Automation Platforms

Job description

Job Description: 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 and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits. We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve. Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs. 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 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 an experienced Senior Technology Manager to lead engineering teams responsible for enterprise AI, intelligent automation, digital capture, and document intelligence platforms. This role will help drive the next generation of business automation by leveraging Artificial Intelligence, Intelligent Document Processing, workflow orchestration, and agentic automation to transform how information is captured, processed, and acted upon across the enterprise. This leader will be accountable for driving technology strategy, engineering execution, platform modernization, and operational excellence across a portfolio of highly scalable business-critical platforms. The role requires a strong combination of people leadership, architecture expertise, AI knowledge, and large-scale technology delivery experience. The ideal candidate is a mature engineering leader with deep experience managing complex technology ecosystems, delivering transformational programs, and building high-performing engineering organizations 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 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. Opportunity & Inclusion Champion: Models an inclusive environment for employees and clients, aligned to company Great Place to Work goals. Manager of Process & Data: Demonstrates deep process knowledge, operational excellence and innovation through a focus on simplicity, data based decision making and continuous improvement. Enterprise Advocate & Communicator: Communicates enterprise decisions, purpose, and results, and connects to team strategy, priorities and contributions. Risk Manager: Ensures proper risk discipline, controls and culture are in place to identify, escalate and debate issues. People Manager & Coach: Provides inspection, coaching and feedback to motivate, differentiate and improve performance. Financial Steward: Actively manages expenses and budgets in alignment with objectives, making sound financial decisions. Enterprise Talent Leader: Assesses talent and builds bench strength for roles across the organization. Driver of Business Outcomes: Delivers results by effectively prioritizing, inspecting and appropriately delegating team work. Required Qualifications: 10+ years of technology leadership experience in large-scale enterprise environments. 5+ years of experience leading engineering managers, architects, and software engineering teams. Proven experience delivering complex technology transformation programs and strategic business initiatives. Demonstrated success leading enterprise platforms supporting high-volume, mission-critical business processes. Experience developing and executing technology strategies aligned to long-term business objectives. Strong background managing complex distributed systems, enterprise integrations, and large-scale application architectures. Experience driving platform modernization, cloud/container adoption, automation, and engineering transformation initiatives. Proven ability to lead cross-functional teams across engineering, architecture, product, operations, and business organizations. Experience building, scaling, and developing high-performing engineering organizations, including talent management, succession planning, mentoring, and workforce transformation. Strong financial and resource management experience, including workforce planning, budget management, vendor management, and delivery prioritization. Experience establishing engineering governance, SDLC best practices, quality standards, and delivery management frameworks. Proven track record of driving operational excellence, platform reliability, resiliency, observability, performance optimization, and service stability. Strong experience managing technology risk, security, audit, compliance, vulnerability remediation, and regulatory requirements in a complex enterprise environment. Ability to influence senior leaders and effectively communicate technology strategy, business value, risks, and investment priorities to executive stakeholders. Leadership Profile The ideal candidate is a mature engineering leader who can: Set strategic direction while ensuring flawless execution. Lead complex technology organizations through transformation and growth. Develop future leaders and build organizational capability. Balance innovation, scalability, governance, operational excellence, and risk management. Create strong partnerships across business, product, architecture, operations, and engineering functions. Translate emerging technologies and AI capabilities into measurable business outcomes. Preferred Qualifications: Experience leading enterprise AI, Intelligent Automation, Intelligent Document Processing (IDP), or advanced workflow platforms. Strong understanding of Generative AI, Agentic AI, Machine Learning, RAG, Semantic Search, and AI governance frameworks. Experience with enterprise workflow orchestration, business process automation, API-driven platforms, and cloud-native architectures. Knowledge of modern engineering practices including Agile, DevSecOps, Site Reliability Engineering (SRE), CI/CD, platform engineering, and infrastructure automation. Experience leading large-scale modernization programs involving legacy platform transformation and adoption of emerging technologies. Skills: 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 Minimum Education Requirement: Bachelor’s degree or equivalent work experience. Shift: 1st shift (United States of America) Hours Per Week: 40