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Portfolio Delivery Manager
Bank of America. Lead a team and mentor Delivery Leads aligned to a delivery portfolio .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in technology delivery and portfolio management, with a strong focus on AI and GenAI solutions. Proven ability to lead cross-functional teams, manage financials, and drive operational excellence in a regulated environment.
Highest-signal resume keywords
AI And GenAI SolutionsPortfolio ManagementFinancial ManagementExecutive CommunicationCross-Functional Team Leadership
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonSQLAI-Assisted Development ToolsSolution ArchitectureAgile PracticesDevOps PracticesRisk ManagementData ManagementSolution DesignProcess Transformation
Soft Skills
CollaborationInfluenceAnalytical ThinkingBusiness AcumenResult Orientation
Tools & Technologies
Low-Code Agent BuildersOrchestration FrameworksLLM ServicesTool-Integration Patterns
Industry Keywords
Global OperationsShared ServicesDataAnalyticsGovernance Processes
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Lead a team and mentor Delivery Leads aligned to a delivery portfolio
- Manage and improve portfolio operations and governance processes
- Escalate and resolve risks and roadblocks
- Build relationships with business and technology executives, Compliance, and Risk
- Define portfolio vision and roadmap aligned to strategic goals
- Provide portfolio status, outcome, delivery, risk, issue, and schedule reporting
- Manage portfolio financials, P&L, and performance
- Ensure adherence to Enterprise Change Management standards
- Lead the horizontal AI and agent delivery program for Global Operations from intake and triage through solution design, sizing, and production
- Redirect use cases better served by deterministic solutions
- Evaluate and drive adoption of enterprise AI and agent-building platforms
- Build hands-on prototypes and demos with engineering partners
- Own annual and multi-year funding plans and portfolio business cases
- Coordinate delivery across peer technology teams and AI governance processes
Requirements
What you’ll need- 10+ years in technology delivery, portfolio management, product management, or solution engineering
- Experience leading multi-program portfolios in a complex, matrixed organization
- Hands-on technical depth in AI or GenAI solutions, with ability to build demos and prototypes
- Experience using AI-assisted development tools, such as code assistants
- Experience delivering AI, ML, or automation solutions in a regulated environment, including risk and governance processes
- Strong executive communication skills and experience presenting to senior leadership
- Demonstrated financial management, including business cases, forecasting, and multi-year funding plans
- Experience leading cross-functional teams and influencing without direct authority
- Background coaching or mentoring technical and delivery staff
- Familiarity with enterprise AI and agent platforms, such as low-code agent builders, orchestration frameworks, LLM services, and tool-integration patterns
- Solution architecture or design background, including build vs. reuse vs. buy decisions
- Proficiency in Python or SQL
- Background in Global Operations, Shared Services, Data, or Analytics
- Experience driving process transformation and operational excellence
- Strong collaboration, influence, result orientation, risk management, stakeholder management, analytical thinking, business acumen, data management, financial management, solution delivery process, agile practices, architecture, DevOps practices, solution design, and technical strategy development skills
Benefits
Comp & perks- Affordable, competitive and flexible benefits
- Support for physical, emotional, and financial wellness
- Opportunities to learn, grow, and make an impact
- In-office flexibility based on role-specific responsibilities and business needs