Sr Process Design Consultant II - Global AML Operations

📍 Job Overview

Job Title: Sr Process Design Consultant II - Global AML Operations

Company: Bank of America

Location: Charlotte, North Carolina, United States (with potential for Greensboro, NC; Plano, TX; Fort Worth, TX; Pennington, AL)

Job Type: Full time

Category: Operations Strategy & Process Design (AML/Financial Crimes)

Date Posted: August 07, 2026

Experience Level: 5-10 years

Remote Status: Hybrid

🚀 Role Summary

• Lead the design and transformation of complex operational processes within Global Anti-Money Laundering (AML) operations, with a strong focus on AI adoption and future-state operating model development.

• Drive strategic initiatives by analyzing current processes, identifying pain points, and designing optimized target-state solutions that incorporate AI, human-in-the-loop controls, and robust governance frameworks.

• Serve as a key liaison between business lines and technology, translating business challenges into structured, design-oriented solutions with clear business case benefits and measurable outcomes.

• Champion a culture of continuous improvement by applying process engineering best practices, developing reusable technology solutions, and presenting strategic options and target-state solutions to executive leadership.

📝 Enhancement Note: The role title "Sr Process Design Consultant II" and the focus on "Global AML Operations" indicate a senior-level position requiring significant experience in process architecture, operational transformation, and a deep understanding of financial crime compliance. The emphasis on AI adoption and human-in-the-loop governance suggests a forward-looking role at the intersection of operations, technology, and regulatory compliance.

📈 Primary Responsibilities

• Conduct in-depth analysis of current-state AML processes, identifying inefficiencies, risks, and opportunities for improvement through AI integration.

• Design future-state operating models that leverage Artificial Intelligence (AI) and Generative AI (GenAI), ensuring appropriate controls, human oversight, and robust governance mechanisms are embedded.

• Develop detailed process maps, workflow designs, and case management solutions, prioritizing system interoperability and end-to-end process impact.

• Support the program's short-term and long-term strategy by providing tactical solutions, strategic recommendations, and clear business case justifications for proposed changes.

• Act as a critical liaison with Change Management and Process Design executives, ensuring seamless integration of new processes and technologies.

• Facilitate workshops and stakeholder meetings to gather requirements, gain alignment, and drive consensus on process design decisions.

• Define problem statements and articulate intended solutions through compelling executive-level presentations and visualizations.

• Implement complex solutions that optimize efficiency, reduce variability, enhance controls, and improve the overall quality and sustainability of AML operations.

• Collaborate directly with Line of Business partners to identify and implement solutions that address critical business challenges and opportunities within the AML domain.

• Establish and maintain a model for continuous process improvement by applying process engineering best practices and delivering reusable technology solutions.

• Leverage advanced analytics and critical thinking to solve complex business problems and translate issues into structured design-oriented solutions with clearly defined business case benefits.

• Lead the development of enterprise change management deliverables for significant projects, including detailed business and systems analysis, process changes, risk assessments, and control plans.

📝 Enhancement Note: The responsibilities highlight a blend of strategic thinking, analytical rigor, and hands-on process design. The emphasis on AI, GenAI, and human-in-the-loop frameworks indicates a need for a candidate comfortable with emerging technologies and their application in regulated environments. The requirement to present to executives and work with diverse stakeholders underscores the importance of strong communication and influencing skills.

🎓 Skills & Qualifications

Education:

• Bachelor's degree in Business Administration, Finance, Operations Management, Computer Science, or a related field is typically expected for a senior consultant role. A Master's degree or relevant certifications (e.g., Lean Six Sigma, CBAP) would be advantageous. Experience:

• A minimum of 5 years of direct experience in process design, business analysis, or operational transformation roles.

• Proven track record of successfully implementing strategic initiatives, particularly those involving operating model transformation or significant process re-engineering.

• Experience within the financial services industry, specifically in Anti-Money Laundering (AML), Financial Crimes, or Global Operations, is highly desirable.

• Prior experience with AI adoption, Generative AI (GenAI), and human-in-the-loop (HITL) governance frameworks is preferred. Required Skills:

• Process Design & Engineering: Expertise in mapping, analyzing, and redesigning complex business processes, with a focus on efficiency, controls, and scalability.

• Business & Systems Analysis: Ability to conduct thorough business and systems analysis, understand interdependencies, and translate requirements into functional designs.

• AI & GenAI Concepts: Strong understanding of AI-enabled operating models, including human-in-the-loop controls, exception management, and AI governance frameworks. Familiarity with GenAI and workflow integration concepts.

• Operating Model Transformation: Experience in designing and implementing future-state operating models that drive significant business improvements.

• Analytical & Critical Thinking: Data-driven approach with the ability to analyze quantitative and qualitative data, identify key themes, and solve complex problems.

• Executive Presentation & Storytelling: Exceptional ability to articulate complex problems, strategic options, and target-state solutions to executive leadership through compelling narratives and visualizations.

• Stakeholder Management & Influence: Proven ability to influence stakeholders at all levels, manage diverse viewpoints, and build consensus.

• Metrics & Results Orientation: A strong focus on data-driven decision-making, with the ability to define and track key performance indicators (KPIs) and demonstrate business case benefits.

• Continuous Improvement Mindset: A proactive approach to identifying opportunities for process efficiency and driving positive change.

• Adaptability & Ambiguity: Ability to take ambiguous information and drive towards logical, actionable outcomes, consistently challenging the status quo.

• Communication Skills: Excellent verbal and written communication skills, with the ability to convey technical and strategic information clearly and concisely.

Preferred Skills:

• Prior experience in enterprise AI adoption.

• Direct experience with AML and/or Global Operations processes.

• Exposure to process improvement methodologies like Lean Six Sigma or Operational Excellence.

• Creativity and intellectual curiosity to develop innovative solutions and understand new technologies.

• Experience working in a global environment.

📝 Enhancement Note: The qualifications emphasize a senior-level candidate with a blend of technical process design skills, strategic thinking, and strong interpersonal capabilities. The explicit mention of AI, GenAI, and HITL frameworks points towards a specialized need for expertise in modern operational transformation. The "5-10 years" experience level inferred from the "5 years of Process design related experience" and the "Sr Process Design Consultant II" title suggests a need for demonstrable leadership and impact.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Process Architecture Documentation: Examples of detailed process maps (e.g., BPMN), flowcharts, and value stream maps showcasing current and future-state designs.

• Transformation Case Studies: Documented examples of past process improvement initiatives, highlighting the problem statement, implemented solutions, challenges faced, and quantifiable results (e.g., efficiency gains, cost savings, risk reduction).

• AI Integration Examples: Demonstrations of how AI or automation technologies were integrated into existing workflows, including considerations for human-in-the-loop controls and governance.

• Business Case Development: Samples of business cases developed for process improvement projects, detailing benefits, ROI, and implementation plans.

• System Interoperability Design: Evidence of designing workflows and solutions with an understanding of system integrations and interoperability.

Process Documentation:

• Workflow Design & Optimization: Showcase your ability to design efficient and effective workflows, including exception handling and escalation procedures.

• Implementation & Automation: Provide examples of processes that were successfully implemented or automated, detailing the approach and tools used.

• Measurement & Performance Analysis: Demonstrate how you have established metrics to track process performance, analyzed results, and used data to drive further optimization.

📝 Enhancement Note: For a role focused on process design and transformation, especially with an AI component, a portfolio is crucial. Candidates should be prepared to showcase their ability to not just design processes but also to articulate the business value, manage the change, and integrate new technologies effectively. The portfolio should highlight a structured, data-driven approach to problem-solving and solution design.

💵 Compensation & Benefits

Salary Range: $112,500 - $156,500 annually

Benefits:

• Discretionary Incentive Plan: Eligible to participate in an annual discretionary incentive plan based on individual, team, and company performance.

• Paid Time Off: Comprehensive paid time off to support work-life balance.

• Health Benefits: Industry-leading benefits package, likely including medical, dental, and vision insurance.

• Wellness Resources: Access to resources and support for physical, emotional, and financial wellness.

• Retirement Savings Plan: Likely includes a 401(k) or similar plan with potential company match.

• Professional Development: Opportunities for learning and growth, supporting career advancement.

Working Hours: 40 hours per week

📝 Enhancement Note: The salary range provided is competitive for a senior-level Process Design Consultant in the financial services industry, particularly in a major financial hub like Charlotte. The inclusion of a discretionary incentive plan, comprehensive benefits, and a focus on employee wellness aligns with Bank of America's stated commitment to being a great place to work. The "Shift: 1st shift" and "Hours Per Week: 40" confirm a standard US business schedule.

🎯 Team & Company Context

🏢 Company Culture

Industry: Financial Services (Banking and Investment)

Company Size: Over 200,000 employees globally. Bank of America is one of the largest financial institutions in the world.

Founded: 1998 (through merger of NationsBank and BankAmerica), with roots tracing back to 1812.

Team Structure:

• Global AML Operations: This role sits within a large, global operations division dedicated to Anti-Money Laundering and financial crime prevention.

• Process Design & Transformation Focus: The immediate team likely comprises other process designers, consultants, business analysts, and operational leaders focused on optimizing AML processes.

• Cross-functional Collaboration: Expect close collaboration with AML compliance officers, technology teams (developers, architects), data scientists, change management specialists, and business line leaders across various departments.

Methodology:

• Responsible Growth: Bank of America's core operating philosophy emphasizes sustainable growth through client focus, risk management, and ethical practices.

• Data-Driven Decision Making: Operations likely rely heavily on data analytics, performance metrics, and AI-driven insights to inform strategy and drive improvements.

• Process Excellence: A commitment to continuous improvement, operational efficiency, and robust control frameworks is fundamental, especially in a regulated area like AML.

• AI Integration: The company is actively exploring and implementing AI and GenAI solutions to enhance operational efficiency, customer experience, and risk management.

Company Website: https://www.bankofamerica.com/

📝 Enhancement Note: Bank of America's culture emphasizes "Responsible Growth," which translates to a focus on ethical practices, client satisfaction, and long-term sustainability. For an operations role, this means a strong emphasis on risk management, compliance, and efficiency, all while maintaining high standards of service. The company's size and global reach suggest a structured environment with ample resources but also potential for complex organizational dynamics.

📈 Career & Growth Analysis

Operations Career Level: This "Sr Process Design Consultant II" role represents a senior individual contributor or specialized consultant position. It signifies a level of expertise and autonomy where the individual is expected to lead significant process design and transformation initiatives, influencing strategy and driving tangible business outcomes within a critical operational function (AML).

Reporting Structure: The role likely reports to a Director or Senior Manager within Global AML Operations or a dedicated Process Design and Transformation group. There will be direct collaboration with various business partners, project sponsors, and potentially technology leads.

Operations Impact: The impact of this role is significant, directly influencing the efficiency, effectiveness, and compliance posture of Bank of America's global AML operations. By designing and implementing AI-driven solutions, the consultant will contribute to reducing operational risk, improving detection capabilities, optimizing resource allocation, and ensuring adherence to complex regulatory requirements. This role plays a crucial part in enabling the bank's "Responsible Growth" by strengthening its defenses against financial crime.

Growth Opportunities:

• Specialization: Deepen expertise in AI/GenAI applications within financial crime compliance, becoming a subject matter expert.

• Leadership: Transition into management roles, leading teams of process designers or transformation specialists.

• Strategic Advisory: Move into higher-level strategic advisory roles, influencing the overall GTM or operational strategy for financial crimes.

• Cross-Functional Mobility: Leverage experience to move into related areas such as operational risk management, compliance program management, or technology strategy within the broader financial services industry.

• Industry Recognition: Contribute to industry best practices and potentially present at conferences related to AI in finance or AML operations.

📝 Enhancement Note: The "II" in the title suggests this is not an entry-level senior role, but rather one with a solid track record and potential for further advancement. The growth opportunities highlight a clear path for career progression within Bank of America's extensive operational and compliance structures.

🌐 Work Environment

Office Type: Bank of America promotes an "in-office culture" with specific requirements for office-based attendance, balanced with "an appropriate level of flexibility for our teammates and businesses based on role-specific considerations." This suggests a hybrid work model where significant collaboration and in-person engagement are expected, particularly for strategic roles.

Office Location(s): The primary location listed is Charlotte, NC. However, the job posting also indicates potential for roles in Greensboro, NC; Plano, TX; Fort Worth, TX; and Pennington, AL. This implies that while the role might be based in Charlotte, there could be opportunities or travel requirements associated with these other key Bank of America operational hubs.

Workspace Context:

• Collaborative Environment: Expect a dynamic, collaborative workspace designed to foster teamwork and cross-functional interaction, essential for process design and transformation projects.

• Technology-Rich: Access to advanced analytical tools, collaboration software, and potentially specialized AI/ML platforms will be available to support the work.

• Team Interaction: Opportunities for regular interaction with colleagues, managers, and stakeholders, facilitating knowledge sharing and problem-solving.

• In-Office Focus: Given the emphasis on an "in-office culture," expect a significant portion of the work to be conducted on-site, facilitating spontaneous collaboration and relationship building.

Work Schedule: The standard 40-hour work week (1st shift) provides a consistent schedule, but the nature of strategic consulting and project-based work may require flexibility to meet project deadlines and critical business needs.

📝 Enhancement Note: The "hybrid" work arrangement, coupled with the explicit mention of an "in-office culture," indicates that candidates should be prepared for a structured hybrid model. This likely means a minimum number of days in the office per week, with the exact schedule determined by team needs and role specifics. Travel between listed locations might also be a possibility.

📄 Application & Portfolio Review Process

Interview Process:

1. Initial Screening: A recruiter or HR representative will likely conduct an initial phone screen to assess basic qualifications, experience, and cultural fit.

2. Hiring Manager Interview: A more in-depth discussion with the hiring manager to evaluate your experience in process design, AI adoption, AML operations, and strategic thinking. Expect behavioral questions and scenario-based inquiries.

3. Technical/Case Study Interview: This is where your process design and analytical skills will be put to the test. You may be given a hypothetical AML process challenge or asked to walk through a complex process design case study from your portfolio. Focus on your methodology, problem-solving approach, and ability to articulate solutions.

4. Panel Interview / Stakeholder Interviews: You may meet with key stakeholders from different departments (e.g., AML Compliance, Technology, other Business Lines) to assess your ability to collaborate, influence, and communicate effectively across diverse groups.

5. Executive Presentation (Potential): For senior roles, there might be a final stage involving a presentation to senior leadership, where you present a proposed solution to a business problem or walk through a significant project from your portfolio.

Portfolio Review Tips:

• Curate Strategically: Select 2-3 of your most impactful process design and transformation projects.

Prioritize those that demonstrate AI/GenAI integration, operating model changes, and significant business results.

• Structure Your Case Studies: For each project, clearly outline:

  • The Challenge: Define the business problem or opportunity (e.g., inefficiency, risk, regulatory change).
  • Your Role & Approach: Detail your specific contributions, methodologies used (e.g., Lean, Six Sigma, Agile), and tools employed.
  • The Solution: Describe the redesigned process, including AI/HITL components, controls, and system integrations.
  • The Impact: Quantify the results using metrics (e.g., % reduction in cycle time, % cost savings, improved compliance scores). Use charts and graphs for visual impact.

• Highlight AI/GenAI Expertise: Explicitly call out any experience with AI, GenAI, automation, or human-in-the-loop frameworks. Explain the benefits and challenges of these integrations.

• Focus on Executive Communication: Be prepared to "tell the story" of your project concisely and persuasively, highlighting the strategic value and business outcomes.

• Prepare for Questions: Anticipate questions about your decision-making process, how you handled obstacles, and how you measured success.

Challenge Preparation:

• Understand AML: Familiarize yourself with common AML processes, typologies, and regulatory expectations (e.g., KYC, transaction monitoring, SAR filing).

• AI in Finance: Research current trends and applications of AI/GenAI in financial services, particularly in compliance and operations. Understand concepts like prompt engineering, agentic AI, and responsible AI.

• Process Mapping Tools: Be comfortable discussing and potentially demonstrating process mapping techniques using tools like Visio, Lucidchart, or similar.

• Problem Decomposition: Practice breaking down complex problems into smaller, manageable components and developing structured solutions.

📝 Enhancement Note: The interview process is likely rigorous, given the senior level and the critical nature of AML operations. A strong, well-prepared portfolio showcasing practical application of process design principles, AI integration, and quantifiable results will be paramount. The emphasis on executive presentation skills suggests that candidates should be ready to articulate complex ideas clearly and persuasively.

🛠 Tools & Technology Stack

Primary Tools:

• Process Modeling Software: Tools like Microsoft Visio, Lucidchart, Bizagi, or ARIS for creating process maps, flowcharts, and workflow diagrams.

• Project Management Software: Platforms such as Jira, Asana, or Microsoft Project for managing transformation initiatives, tracking tasks, and timelines.

• Collaboration Suites: Microsoft Teams, Slack, or similar for real-time communication, file sharing, and team collaboration.

• Presentation Software: Microsoft PowerPoint or Google Slides for creating executive-level presentations and visualizations.

Analytics & Reporting:

• Data Analysis Tools: Proficiency in tools like Microsoft Excel (advanced functions, pivot tables), SQL for data querying, and potentially BI tools like Tableau, Power BI, or QlikView for data visualization and reporting.

• Statistical Software (Desirable): Familiarity with R, Python (with libraries like Pandas, NumPy), or statistical packages could be beneficial for deeper data analysis.

CRM & Automation:

• CRM Systems (General Understanding): While not directly managing customer relationships, understanding how CRM data flows and impacts operational processes is valuable.

• Workflow Automation Tools: Experience with or understanding of tools that facilitate workflow automation, potentially including RPA (Robotic Process Automation) platforms or low-code/no-code development environments.

• AI/ML Platforms (Exposure): Familiarity with platforms or concepts related to AI and machine learning model deployment and integration into operational workflows.

📝 Enhancement Note: The technology stack for this role emphasizes tools for process visualization, project management, data analysis, and communication. Given the focus on AI, a candidate with exposure to or understanding of AI/ML platforms, automation tools, and potentially scripting languages like Python would be highly advantageous.

👥 Team Culture & Values

Operations Values:

• Integrity & Ethics: Upholding the highest ethical standards in all operations, particularly crucial in AML where compliance and trust are paramount.

• Client Focus: A commitment to serving clients' needs while safeguarding the bank's assets and reputation.

• Data-Driven Excellence: Utilizing data and analytics to inform decisions, measure performance, and drive continuous improvement in processes and outcomes.

• Innovation & Adaptability: Embracing new technologies (like AI/GenAI) and methodologies to stay ahead of evolving threats and operational challenges.

• Collaboration & Teamwork: Fostering a cooperative environment where diverse perspectives are valued and teams work together to achieve common goals.

• Efficiency & Effectiveness: Striving for optimal operational efficiency without compromising control, quality, or regulatory compliance.

Collaboration Style:

• Cross-Functional Integration: Expect a highly collaborative style, working closely with AML compliance, technology development, data science, risk management, and business operations teams.

• Stakeholder Engagement: Proactive and transparent communication with stakeholders at all levels, ensuring alignment and buy-in for process changes.

• Constructive Challenge: A culture that encourages healthy debate and constructive challenge to ensure the best solutions are identified and implemented, always with a focus on improving processes and outcomes.

• Knowledge Sharing: Encouraging the sharing of best practices, lessons learned, and insights across teams to foster collective growth and continuous improvement.

📝 Enhancement Note: Bank of America's emphasis on "Responsible Growth" and its core values directly translate into the operational culture. For this role, it means a strong focus on compliance, risk mitigation, and ethical conduct, balanced with a drive for innovation and efficiency through technology like AI. Collaboration is key, as AML operations are inherently cross-functional.

⚡ Challenges & Growth Opportunities

Challenges:

• Complexity of AML Regulations: Navigating and designing processes that comply with ever-evolving and complex global AML regulations.

• AI Integration Risks: Safely and effectively integrating AI/GenAI into critical AML processes, managing potential biases, ensuring data privacy, and establishing robust human-in-the-loop controls.

• Stakeholder Alignment: Gaining consensus and buy-in from diverse stakeholders with potentially competing priorities across different business units and geographies.

• Legacy Systems & Data Silos: Working within a large, established organization that may have legacy systems and data challenges that need to be addressed during transformation.

• Pace of Technological Change: Keeping pace with rapid advancements in AI and automation technology and determining their practical applicability within a regulated environment.

Learning & Development Opportunities:

• AI/GenAI Specialization: Deep dive into the practical application of AI and GenAI in financial crime compliance, becoming a recognized expert.

• Advanced Process Engineering: Further develop skills in complex process architecture, transformation strategy, and change management.

• Financial Crimes Expertise: Gain deeper knowledge of AML typologies, risk assessment frameworks, and regulatory landscapes.

• Leadership Development: Opportunities to mentor junior team members, lead cross-functional project teams, and potentially move into management roles.

• Industry Certifications: Pursue relevant certifications in process improvement (e.g., Lean Six Sigma Black Belt), business analysis (e.g., CBAP), or compliance (e.g., CAMS).

📝 Enhancement Note: The challenges highlight the strategic importance and complexity of the role. Successfully navigating these requires not only technical expertise but also strong leadership, communication, and problem-solving skills. The growth opportunities are substantial, offering a clear path for career advancement and specialization within a leading financial institution.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you designed a complex process transformation incorporating new technology. What was the challenge, your approach, and the outcome?" (Focus on methodology, AI integration, and quantifiable results.)

• "How would you approach designing a future-state AML operating model that leverages GenAI while ensuring robust human-in-the-loop controls and regulatory compliance?" (Demonstrate understanding of AI, governance, and AML specifics.)

• "Walk me through a challenging situation where you had to influence senior stakeholders to adopt a new process or technology. How did you build consensus and manage resistance?" (Highlight influencing skills, communication strategy, and stakeholder management.)

• "How do you identify and prioritize process improvement opportunities within a large, complex organization like Bank of America?" (Showcase analytical skills, data-driven approach, and strategic thinking.) Company & Culture Questions:

• "Based on your research, how do you see AI impacting AML operations in the next 3-5 years, and how does Bank of America's approach align with that?" (Demonstrate company awareness and forward-thinking.)

• "Our culture emphasizes 'Responsible Growth.' How would your approach to process design contribute to this philosophy?" (Connect your work to company values.)

• "Describe your preferred collaboration style when working with technical teams, business partners, and compliance experts." (Assess fit with cross-functional dynamics.) Portfolio Presentation Strategy:

• Lead with Impact: Start with the most impressive project that best showcases your skills relevant to AI and AML.

• Tell a Story: Structure your presentation like a narrative: problem, your solution, and the results. Use visuals effectively.

• Quantify Everything: Emphasize metrics and ROI. Be ready to explain how you measured success.

• Highlight AI/HITL: Clearly articulate the role of AI/GenAI and human oversight in your solutions.

• Be Ready for Deep Dives: Anticipate detailed questions about your methodology, assumptions, and decision-making process.

Challenge Preparation:

• Process Mapping Exercise: Be prepared to visually map out a hypothetical process on a whiteboard or digital tool.

• Problem-Solving Scenario: You might be given a specific AML operational issue and asked to propose solutions, outlining steps, potential risks, and benefits.

• AI Application Brainstorm: A discussion on how AI could be applied to a specific AML challenge (e.g., transaction monitoring, KYC review).

📝 Enhancement Note: Interview preparation should focus on demonstrating a blend of technical process expertise, strategic foresight regarding AI in finance, and strong communication skills. Candidates must be able to articulate their experience with concrete examples, especially those involving complex transformations and emerging technologies like AI/GenAI.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided Workday application link.

• Tailor Your Resume: Customize your resume to highlight experience in process design, AI adoption, AML operations, operating model transformation, and stakeholder management. Use keywords from the job description, such as "AI adoption," "GenAI," "human-in-the-loop," "process engineering," and "AML."

• Prepare Your Portfolio: Curate 2-3 strong case studies showcasing your most relevant process design and transformation projects. Ensure they clearly demonstrate your problem-solving methodology, the solutions implemented (especially those involving AI), and quantifiable business outcomes. Be ready to present these effectively.

• Research Bank of America: Understand the company's mission, values (especially "Responsible Growth"), and current initiatives in AI and financial technology. Familiarize yourself with the AML landscape and regulatory environment.

• Practice Interview Responses: Prepare answers to common behavioral and situational questions, focusing on using the STAR method (Situation, Task, Action, Result). Practice articulating your portfolio projects concisely and persuasively, anticipating questions about AI integration and AML processes.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.