Data Science Executive

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 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 overseeing and influencing the adoption and integration of Artificial Intelligence (AI) across the Global Risk Management (GRM) organization. This role will support GRM AI Technician in their participation in the enterprise AI Catalyst Program and drive enterprise-aligned AI initiatives that enhance risk capabilities, improve operational efficiency, and ensure responsible growth. This role requires deep expertise in AI and data science, strong cross-functional influence, and a proven ability to navigate complex governance frameworks. Job expectations include demonstrating leadership, promoting the adoption of generative AI, and possessing a commitment to responsible growth for the enterprise. Responsibilities: Support the GRM AI Champion and work with the GRM AI Champion Execution team in the execution of GRM’s activities related to the bank’s AI Catalyst Program. Partner with the GRM AI Execution team to refine GRM AI ideas that were submitted by GRM associates, assign value through business case development, risk rate and stack order the GRM AI ideas, carefully evaluate the business cases to ensure we are not duplicating existing technology at the bank, and ultimately determine the ideas to move forward with. Communicate with the sponsors of the ideas we are not going forward with the decision and the why. Finalize business cases for the top ideas with stakeholders. Define and implement KPIs to measure AI adoption, performance, and value creation across GRM. Continuously assess peer and industry AI trends to ensure GRM remains competitive and forward-looking in its AI capabilities. Lead specific Gen AI model development efforts to support GRM. Collaborate with the Artificial Intelligence – Model Development Executive (AI-MDE) function to leverage insights from various parts of the enterprise to better support and refine GRM AI initiatives. Skills: Business Acumen Executive Presence Presentation Skills Prioritization Strategic Thinking Continuous Improvement Performance Management Risk Management Succession Planning Workforce Opportunity Management Adaptability Artificial Intelligence/Machine Learning Compensation Analysis Stakeholder Management Written Communications Required Qualifications: 10+ years of Risk Management, Technology and/or Data Science experience in the financial services industry, including 5+ years of Bank of America specific experience Artificial Intelligence: Skilled across non-generative AI, generative AI, and agentic AI disciplines; Understands key platforms such as Microsoft Copilot Studio and Orchestra AI; able to partner with ERFT to evaluate and determine the most appropriate platform for GRM use cases Able to identify and objectively assess AI ideas that are infeasible, overstated, or low value, and make defensible decisions to deprioritize them; Capable of stack-ranking AI ideas in a logical and objective manner Executive Presence Ability to build trusted relationships with key Risk Management stakeholders, influence outcomes, provide effective challenges and communicate difficult decisions with clarity Skilled at translating complex ideas into clear narratives for executive audience Strategic thinking with an ability to connect ideas to an overarching roadmap and vision; capable of synthesizing a disparate set of AI ideas into a coherent, strategic story Able to partner with MRM, AI Governance, and other stakeholders to reimagine and enhance the AI model approval process on an ongoing basis Shift: 1st shift (United States of America) Hours Per Week: 40 Bank of America is committed to help employees through the transition period when they’re displaced as a result of a workforce reduction, realignment or similar measure. Please review the resume writing and interviewing tips provided below to help prepare you for your next career opportunity. Getting started Regardless of the position you are interested in, the starting points to building your resume are the same: 1. Determine the job or types of jobs you want to do and research their responsibilities and qualifications. 2. Think about why you can do the job and make a list of your skills that are relative to the job. 3. Identify experiences or accomplishments that show your proficiency in the skills required for the job. 4. Summarize your abilities, accomplishments and skills into a brief, concise document. Considerations when writing a resume • Do be brief. Resumes should be 1-2 pages in length. • Do be upbeat and active in your wording. • Do emphasize what you have done clearly and concretely. • Do be neat and well organized. • Do have others proofread and critique your resume. Spell check. Make it error free. • Do use high quality, white or light colored 8½ x 11 paper. Use a laser printer if possible. • Don't be dishonest, always tell the truth about yourself in the most flattering light. • Don't include salary history or requirements. • Don't include references. • Don't include accomplishments that do not support your professional goals. • Don't include anything that isn't relevant. (For example, don't mention your fondness for swimming unless you want to work on the water.) • Don't use italics, underlining, shadows or other fancy treatments. Seven steps to a successful interview 1. Anticipate –Put yourself in the interviewer's position. What do you believe the interviewer is most interested in? Why do you think you have been invited to interview? 2. Research –What are the primary functions of the line of business? What are the success factors for the job? Is there a job description available? 3. Assess –Think about your skills, abilities, knowledge, interests, traits, values and accomplishments. Match them to what you know about the job. Consider which ones you should highlight. 4. Prepare Answers –Think about what the interviewer may ask, determine what the best answer is and write it down. 5. Prepare Questions – Interviewing is a two-way street. By asking thoughtful questions, you communicate your interest and learn a lot about the job. Choose two or three questions to ask your interviewer. Avoid asking a lot of questions about vacation time or breaks. 6. Practice – It may seem awkward, but it is the best way to come across well in an interview. Practice your own "great responses" with others or in front of a mirror until you appear relaxed and at ease. 7. Follow-up – Send a brief follow-up letter to the interviewer. Keep in mind that the many job searchers will not send a follow-up letter. Sending one can become a competitive advantage. 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