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 managing strategic AI transformation initiatives that modernize operational processes and improve business outcomes. The role manages complex, cross-functional projects from concept through implementation, partnering with key stakeholders, AI product teams, technology organizations, data teams, and control partners to deliver scalable AI capabilities to the Enterprise.  Key responsibilities include managing project scope, planning, and organizing, execution plans, dependencies, operational readiness, change adoption, risk management, and working closely with management on project impact and direction. The individual ensures AI solutions are effectively integrated into business processes, achieve targeted operational efficiencies, and comply with enterprise risk, governance, and regulatory requirements.

Key Responsibilities:

• Coordinates development of key project deliverables in partnership with various key internal and external business partners

• Manages and leads the execution of multiple and often competing priorities to meet deadlines and adhere with policies and procedures

• Drive delivery excellence, manage project plans, milestones, dependencies, risks, and escalations to ensure successful execution.

• Own requirements management, gather, document, and validate business requirements, functional designs, and stakeholder expectations.

• Enable scalable integration and execution, partner closely with peer project managers, and business teams for integration planning, implementation and sustainment

• Maintain delivery artifacts, prepare and manage BRDs, FRDs, project documentation, and stakeholder approvals

• Provide execution transparency, deliver clear status reporting, decision support, and timely escalation of risks and issues

• Determines testing methods needed for assigned projects, educates resources, partners with all testing teams engaged, and provides reporting for the overall testing throughout the testing process

Required Qualifications:

• Fast learner, Process Design experience

• Proven experience with large-scale enterprise transformations involving AI, data, analytics, or digital capabilities.

• Particularly with large operational efforts involving multiple applications, middleware and multiples businesses for real time and non-real-time process automation

• Demonstrated success managing complex, cross-functional programs involving multiple FLUs and executive stakeholders.

• Strong understanding of Agile delivery, product management, requirements management, and SDLC practices.

• Experience working with Data Science, Machine Learning, GenAI, Model Risk Management, and AI governance teams.

• Exceptional stakeholder management, influence, communication, and executive presentation skills.

• Ability to translate between business leaders, technical teams, and governance organizations.

Desired Qualifications:

• Experience with contact center systems and processes

Skills:

• Attention to Detail

• Collaboration

• Risk Management

• Active Listening

• Change Management

• Customer and Client Focus

• Problem Solving

• Process Mapping

• Business Case Review

• Critical Thinking

• Planning

• Presentation Skills

• Project Management

Minimum Education Requirement: High School Diploma / GED / Secondary School or equivalent

Shift:

Hours Per Week: