Consumer Product Strategy Analyst II - Strategy Execution

📍 Job Overview

Job Title: Consumer Product Strategy Analyst II - Strategy Execution

Company: Bank of America

Location: Newark, New Jersey, United States (also open to Belfast, Northern Ireland, United Kingdom; Phoenix, Arizona, United States; Plano, Texas, United States; Charlotte, North Carolina, United States)

Job Type: FULL_TIME

Category: Strategy & Analytics Operations / Risk Operations

Date Posted: September 23, 2025

Experience Level: Mid-Level (2-5 years)

Remote Status: On-site

🚀 Role Summary

• This role focuses on the critical intersection of strategy execution and risk mitigation within consumer product lines, requiring a blend of analytical rigor and strategic thinking to optimize product performance and minimize financial exposure.

• The Analyst will be instrumental in transforming high-level business objectives into actionable, data-driven strategies, particularly concerning fraud prevention and customer acquisition, leveraging advanced analytics and modeling techniques.

• A core component of the role involves deep dives into data using various analytical tools to identify trends, forecast future outcomes, and recommend strategic adjustments to enhance product profitability and customer experience.

• This position demands a proactive approach to strategy development, implementation, and validation, ensuring adherence to operational standards and effective collaboration across multiple business units and enterprise programs.

📝 Enhancement Note: While the title is "Consumer Product Strategy Analyst II - Strategy Execution," the detailed responsibilities and required skills strongly indicate a focus on risk operations, specifically fraud strategy and consumer credit lending. The role requires hands-on analytical work and strategy testing, aligning it with operations functions that support GTM and revenue assurance.

📈 Primary Responsibilities

• Translate complex business requirements into robust, testable, and implementable strategies for consumer products, with a significant emphasis on fraud mitigation and customer acquisition.

• Manage the full lifecycle of strategy changes, from initial design and development through coding, rigorous testing (including shadow, bulk, UAT, and SMART/GenDart testing), implementation, and post-production validation, adhering strictly to Standard Operating Procedures (SOPs).

• Execute and interpret code using analytical tools such as SAS and ICDP Oracle to test strategy modifications, troubleshoot issues, and validate production performance, ensuring data integrity and accuracy.

• Conduct in-depth quantitative analysis to identify opportunities for optimizing existing strategies and to design novel strategy solutions that align with and advance overarching business goals.

• Actively participate in integrated release schedules and large-scale Enterprise Wide programs and projects that impact Consumer Acquisition and Consumer Fraud strategies, ensuring seamless integration and alignment.

• Engage in peer reviews and Quality Assurance (QA) sign-offs to guarantee the delivery of defect-free code and reliable strategy implementations.

• Facilitate and manage strategy transitions, particularly the migration from legacy systems like BLAZE to more advanced platforms such as Power Curve for both Consumer Acquisition and Consumer Fraud strategies.

• Analyze and interpret large datasets to forecast future trends, assess potential fraud risks, and recommend data-driven mitigation strategies and business decisions to senior leadership.

• Collaborate with cross-functional teams to define, gather, analyze, and interpret data, providing insights that support product performance reporting and strategic planning for senior management.

📝 Enhancement Note: The responsibilities highlight a strong operational focus on strategy implementation, testing, and validation within a risk management context. The mention of "BLAZE" and "Power Curve" suggests hands-on experience with specific decision engines or strategy management platforms is crucial.

🎓 Skills & Qualifications

Education:

• High School Diploma / GED / Secondary School or equivalent is the minimum education requirement.

Experience:

• A minimum of two years of experience in a credit underwriting, strategies, analytics, or a related technology role is required.

Required Skills:

• Business Intelligence: Ability to leverage BI tools for data analysis and reporting to support strategic decision-making.

• Data and Trend Analysis: Proficiency in analyzing complex datasets to identify patterns, trends, and insights relevant to consumer behavior and risk.

• Fraud Management: Understanding of fraud typologies, risk assessment, and the development of preventative strategies.

• Monitoring, Surveillance, and Testing: Experience in setting up and executing monitoring systems, surveillance protocols, and rigorous testing methodologies for strategies.

• Research: Capability to conduct thorough research on market trends, competitor strategies, and best practices in credit risk and fraud prevention.

• Business Analytics: Strong analytical skills to interpret data, build models, and provide actionable business recommendations.

• Data Quality Management: Awareness of data quality principles and practices to ensure the reliability of analytical outputs.

• Data Visualization: Ability to create clear and impactful data visualizations using tools like Tableau to communicate findings effectively.

• Problem Solving: Demonstrated ability to identify, analyze, and resolve complex business and technical challenges.

• Written Communications: Excellent ability to articulate complex analytical findings, strategy recommendations, and process documentation clearly and concisely.

• Analytical Thinking: Strong logical reasoning and critical thinking skills to dissect problems and develop sound solutions.

• Collaboration: Proven ability to work effectively with cross-functional teams, including business partners, technology, and analytics groups.

• Critical Thinking: Capacity to evaluate information objectively and make reasoned judgments.

• Innovative Thinking: Aptitude for developing new processes and creative solutions to complex problems.

• Oral Communications: Strong verbal communication skills for presenting findings and influencing stakeholders.

• Proficiency in Microsoft Office Suite: Advanced skills in Word, PowerPoint, and particularly Excel for data manipulation and analysis.

Preferred Skills:

• Rules Engine Experience: Experience working with decision engines like PowerCurve, ODM, or Pega Systems for strategy implementation.

• Programming Languages: Proficiency in SQL, SAS, Python, or other programming languages for data manipulation and analysis.

• Visio Proficiency: Experience using Microsoft Visio for process mapping and workflow design.

• System Integration Understanding: General knowledge of system integration protocols and data flow between different platforms.

• Agile Delivery Experience: Experience in Agile methodologies, potentially as a Product Owner or Product Manager.

• Hadoop, TOAD, SAS & Bacardi Knowledge: Familiarity with these specific big data and analytics platforms.

• Project Management Experience: Experience managing projects, particularly those involving strategy implementation or system changes.

• Technical Aptitude: Demonstrated technical ability through relevant work experience.

• BofA Enterprise Change Policy: Familiarity with Bank of America’s specific enterprise change policies and procedures.

📝 Enhancement Note: The required skills emphasize a strong analytical foundation with practical application in risk management and strategy execution. The preferred skills point towards a need for technical proficiency in data manipulation, programming, and specific decision-engine software, which are critical for operations roles focused on GTM strategy implementation.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Strategy Design & Optimization: Examples showcasing the design and refinement of business strategies, particularly in areas like credit risk, fraud prevention, or customer acquisition, with clear articulation of the problem, approach, and outcomes.

• Data Analysis & Insights: Demonstrations of complex data analysis projects, including the methodologies used, the insights derived, and how these insights informed strategic recommendations or business decisions.

• Performance Metrics & ROI: Case studies detailing how implemented strategies or process improvements led to measurable outcomes, such as reduced loss rates, improved conversion rates, or enhanced customer experience, with a focus on quantifiable ROI.

• Process Improvement Documentation: Samples of process documentation, including workflow diagrams, SOPs, or testing protocols developed to standardize or improve operational processes related to strategy execution.

Process Documentation:

• Workflow Design & Optimization: Evidence of designing or optimizing operational workflows, particularly those related to strategy implementation, testing, and change management, to enhance efficiency and reduce errors.

• Implementation & Automation: Examples of successfully implementing strategies or automating processes, detailing the steps taken, tools used, and challenges overcome.

• Measurement & Performance Analysis: Documentation of how performance of implemented strategies was tracked, measured, and analyzed, including the metrics used and the reporting mechanisms established.

📝 Enhancement Note: While not explicitly stated as a "portfolio" requirement, the detailed responsibilities around strategy transformation, testing, implementation, and validation imply that candidates should be prepared to showcase their work in these areas. This could manifest as detailed case studies or project examples in their resume or during interviews, demonstrating their ability to manage the end-to-end strategy lifecycle.

💵 Compensation & Benefits

Salary Range:

Benefits:

• Comprehensive Health Coverage: Medical, dental, and vision insurance plans designed to support employee wellness.

• Retirement Savings Plan: 401(k) plan with company match, providing a strong foundation for long-term financial security.

• Paid Time Off (PTO): Generous vacation days, sick leave, and paid holidays to promote work-life balance.

• Professional Development: Opportunities for continuous learning, including access to training programs, certifications, and educational assistance to enhance skills in analytics, strategy, and financial services.

• Employee Assistance Program (EAP): Confidential support services for personal and work-related challenges.

• Wellness Programs: Initiatives focused on promoting physical, emotional, and financial well-being.

• Career Advancement: Clear pathways for growth and advancement within Bank of America’s extensive operational and analytical functions.

Working Hours:

• The standard working hours are 40 hours per week, typically within the 1st shift (daytime hours). While the role is on-site, the company notes a commitment to providing an "appropriate level of flexibility for our teammates and businesses based on role-specific considerations," which may allow for some managed flexibility within the standard work week.

📝 Enhancement Note: Salary ranges are estimated based on general market data for similar roles in the specified locations. Actual compensation may differ. The benefits listed are standard for large financial institutions like Bank of America.

🎯 Team & Company Context

🏢 Company Culture

Industry: Financial Services - Banking and Investment Management. Bank of America is a global leader in financial services, offering a comprehensive range of banking, investing, asset management, and other financial and risk management products and services.

Company Size: Bank of America is a very large enterprise, employing hundreds of thousands of people globally. This scale means operations professionals have access to vast resources, diverse career paths, and opportunities to work on significant projects with broad impact.

Founded: Bank of America traces its roots back to 1784, with its modern iteration formed through mergers and acquisitions, notably the 1998 acquisition of NationsBank. This long history signifies stability, established processes, and a deep understanding of the financial markets.

Team Structure:

• Analytics & Strategy Focus: The role likely sits within a team dedicated to consumer product strategy, analytics, or risk management, potentially within the Consumer Banking or Global Risk Management divisions.

• Reporting: The Analyst II would typically report to a Manager or Senior Manager responsible for strategy execution, analytics, or a specific product portfolio.

• Cross-functional Collaboration: Expect close collaboration with business line managers, product managers, technology teams, data scientists, risk managers, and potentially marketing and operations execution teams to develop, test, and deploy strategies.

Methodology:

• Data-Driven Decision Making: Bank of America emphasizes a strong data-driven culture, where decisions are informed by rigorous analysis, modeling, and performance metrics.

• Process Excellence: Adherence to established processes, Standard Operating Procedures (SOPs), and enterprise change management policies is critical for ensuring consistency, compliance, and quality in strategy execution.

• Risk Management Framework: Operations within Bank of America are heavily influenced by robust risk management frameworks, requiring a meticulous approach to strategy testing, validation, and monitoring.

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

📝 Enhancement Note: The company's status as a major financial institution implies a structured, process-oriented, and compliance-heavy environment. Operations roles here often involve managing significant data volumes and complex systems, requiring a high degree of accuracy and attention to detail.

📈 Career & Growth Analysis

Operations Career Level: This is a mid-level (Analyst II) position, indicating a need for foundational experience and the ability to work independently on defined tasks while contributing to broader team objectives. It serves as a stepping stone towards more senior analytical, strategy, or management roles.

Reporting Structure: The Analyst II will report to a senior member of the strategy or analytics team, receiving guidance and oversight. The role involves contributing to team projects and liaising with various stakeholders, offering exposure to different facets of the business.

Operations Impact: The work directly impacts key operational outcomes such as minimizing financial losses from fraud, optimizing customer acquisition rates, and improving the overall efficiency and effectiveness of consumer product offerings. This role provides a tangible link between analytical work and measurable business results, crucial for revenue assurance and profitability.

Growth Opportunities:

• Skill Specialization: Opportunities to deepen expertise in specific analytical tools (SAS, SQL, Python), decision engines (PowerCurve), and areas of risk management (fraud, credit risk).

• Career Progression: Potential to advance to Senior Analyst, Strategy Manager, or specialized roles in data science, risk analytics, or product management within Bank of America.

• Cross-functional Exposure: Gaining experience across different product lines and business units, broadening understanding of the financial services landscape and potential career pivots.

• Leadership Development: Participation in projects and initiatives that can build leadership capabilities, such as leading specific testing phases or contributing to strategy design discussions.

📝 Enhancement Note: For individuals focused on operations, this role offers a solid foundation in financial services analytics and strategy execution. The emphasis on systems like PowerCurve and tools like SAS/SQL positions candidates well for further growth in specialized operations or analytics tracks within the financial industry.

🌐 Work Environment

Office Type: Bank of America promotes an "in-office culture," indicating that this role is primarily on-site. This environment is designed to foster collaboration, team cohesion, and direct interaction among colleagues.

Office Location(s): The position is available in multiple large US cities (Newark, Phoenix, Charlotte, Plano) and potentially Belfast, UK. These are typically modern office buildings equipped with the necessary infrastructure for financial services operations.

Workspace Context:

• Collaborative Spaces: Offices are likely designed with a mix of individual workspaces and collaborative areas to support team projects and brainstorming sessions.

• Technology & Tools: Access to robust IT infrastructure, including high-performance workstations, secure network access, and the necessary software and analytical tools required for the role.

• Team Interaction: Opportunities for regular face-to-face interaction with immediate team members, managers, and cross-functional partners, facilitating knowledge sharing and rapid problem-solving.

Work Schedule:

• The standard work schedule is 40 hours per week, with a focus on the 1st shift. While the company emphasizes an in-office culture, it also mentions "an appropriate level of flexibility," which could mean some flexibility in daily start/end times or occasional remote work, subject to business needs and manager approval.

📝 Enhancement Note: The on-site requirement is a key factor for candidates. The availability across multiple locations offers flexibility in choosing a preferred worksite, but the expectation is regular office attendance to engage directly with teams and leverage on-site resources and collaboration opportunities.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Likely a recruiter screen to assess basic qualifications, interest, and cultural fit.

• Hiring Manager Interview: A more in-depth discussion focusing on experience, responsibilities, and technical skills relevant to strategy execution and analytics. Candidates should be prepared to discuss past projects in detail.

• Technical/Analytical Assessment: This may involve a case study, a coding challenge (e.g., SQL or SAS query), or a problem-solving exercise related to strategy testing or data analysis.

• Team/Peer Interviews: Interviews with potential colleagues or team leads to evaluate collaboration skills, problem-solving approach, and cultural alignment.

• Final Interview (Potentially): An interview with a senior leader to discuss career aspirations and overall fit within the organization.

Portfolio Review Tips:

• Quantify Achievements: For any projects presented, focus on quantifiable results. Instead of saying "improved strategy," state "improved fraud detection rate by X%," or "reduced false positive rate by Y%."

• Showcase Process: Detail the steps taken in strategy design, testing, and implementation. Highlight how you managed change requests, performed validation, and adhered to SOPs.

• Tool Proficiency: If possible, provide examples of your work using SAS, SQL, Excel, or decision engines, demonstrating your technical capabilities.

• Problem-Solving Narrative: Structure your project examples using a STAR (Situation, Task, Action, Result) method, clearly articulating the problem, your role, the actions you took, and the positive outcomes.

• Relevance to Risk/Fraud: Prioritize examples that align with the role's focus on consumer credit lending, fraud management, and strategy execution.

Challenge Preparation:

• Data Interpretation: Be ready to interpret sample datasets or performance reports and provide strategic recommendations.

• Strategy Design: Practice designing a basic strategy for a given business problem (e.g., reducing application fraud).

• SQL/SAS: Brush up on SQL for data querying and SAS for data manipulation and analysis, as these are frequently used tools.

• Scenario-Based Questions: Prepare for questions that assess your approach to troubleshooting strategy issues, managing competing priorities, and collaborating with diverse teams.

📝 Enhancement Note: Given the detailed responsibilities around testing and validation, candidates should anticipate questions or assessments focused on their practical approach to ensuring strategy accuracy and adherence to process. Highlighting experience with specific testing tools like SMART or GenDart would be advantageous.

🛠 Tools & Technology Stack

Primary Tools:

• SAS: Essential for data manipulation, statistical analysis, and potentially strategy coding/testing. Proficiency is key.

• SQL: Crucial for querying relational databases to extract and analyze data.

• Microsoft Excel: Advanced proficiency required for data analysis, modeling, reporting, and ad-hoc tasks.

• Tableau: For data visualization, creating dashboards, and communicating insights to stakeholders.

• Decision Engines (Preferred): PowerCurve, ODM, Pega Systems, or similar rules engines for strategy implementation and management.

Analytics & Reporting:

• Relational Databases: Experience working with large-scale databases.

• Data Visualization Tools: Beyond Tableau, familiarity with other BI platforms might be beneficial.

• Reporting Tools: Ability to generate product performance reports for senior management.

CRM & Automation:

• While not explicitly mentioned, familiarity with CRM systems (like Salesforce) and automation tools (like Python for scripting) could be beneficial for broader operational understanding and efficiency gains.

• Hadoop, TOAD, Bacardi: Preferred knowledge of these big data and database management tools suggests an environment dealing with large data volumes.

📝 Enhancement Note: The core technical requirements revolve around data analysis and manipulation tools (SAS, SQL, Excel, Tableau). Experience with specific decision engines like PowerCurve is highly preferred, indicating a need for hands-on operational knowledge in strategy deployment.

👥 Team Culture & Values

Operations Values:

• Client Focus: A commitment to making financial lives better for customers, which translates to ensuring product strategies are fair, effective, and enhance the customer experience while managing risk.

• Integrity: Upholding the highest ethical standards in all aspects of work, particularly in data handling, analysis, and strategy recommendations.

• Collaboration: A strong emphasis on teamwork and cross-functional partnership to achieve shared business objectives and drive innovation.

• Excellence: Striving for high performance, accuracy, and efficiency in all operational processes and analytical outputs.

• Responsibility: Taking ownership of tasks, projects, and their outcomes, demonstrating accountability for strategy execution and risk mitigation.

Collaboration Style:

• Team-Oriented: Expect a collaborative environment where team members support each other, share knowledge, and work together towards common goals.

• Cross-functional Engagement: The role necessitates proactive communication and collaboration with various departments, requiring strong interpersonal and stakeholder management skills.

• Process Improvement Mindset: Encouragement to identify inefficiencies and propose improvements to existing processes, fostering a culture of continuous enhancement.

📝 Enhancement Note: Bank of America's core values are likely embedded in its operational culture. Candidates should demonstrate a commitment to integrity, client centricity, and collaborative problem-solving, aligning with the company's emphasis on responsible growth and ethical conduct.

⚡ Challenges & Growth Opportunities

Challenges:

• Navigating Large Organizations: Adapting to the scale and complexity of a large financial institution, understanding organizational structures, and influencing stakeholders across different departments.

• Data Complexity & Volume: Working with vast and intricate datasets requires strong data management and analytical skills to extract meaningful insights accurately and efficiently.

• Dynamic Regulatory Environment: Staying abreast of and ensuring compliance with evolving financial regulations and internal policies that impact strategy development and execution.

• Balancing Risk and Growth: The core challenge involves finding the optimal balance between mitigating potential risks (like fraud) and enabling business growth and positive customer experiences.

Learning & Development Opportunities:

• Advanced Analytics Training: Access to training on sophisticated analytical techniques, software, and modeling approaches relevant to financial risk and strategy.

• Industry Certifications: Opportunities to pursue relevant certifications in areas like risk management, data analytics, or project management.

• Mentorship Programs: Participation in mentorship programs to gain guidance from experienced professionals within the company.

• Exposure to Strategic Initiatives: Involvement in high-impact projects and enterprise-wide programs that offer broad exposure to business strategy and operations.

📝 Enhancement Note: This role offers a significant opportunity to develop expertise in financial risk analytics and strategy execution within a leading global bank. The challenges presented are typical of large financial institutions but also provide fertile ground for professional development and career advancement.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you transformed a business requirement into an actionable strategy. What was your process, and what were the results?" (Focus on your methodology, testing, and outcome quantification.)

• "How would you approach analyzing a sudden increase in application fraud rates for a consumer product?" (Demonstrate your analytical approach, potential data sources, and hypothesis generation.)

Company & Culture Questions:

• "What do you know about Bank of America's approach to consumer banking and risk management?" (Show you've researched the company and understand its business context.)

• "How do you handle conflicting priorities when working on multiple strategy projects simultaneously?" (Highlight your time management, prioritization skills, and communication approach.)

Portfolio Presentation Strategy:

• Structure: Use a clear narrative for each project: Situation (the problem), Task (your responsibility), Action (what you did, including tools and methods), and Result (quantifiable outcomes).

• Data Visualization: Be prepared to visually represent key data points or process flows if asked.

• Focus on Impact: Emphasize the business impact of your work – how did your strategy or analysis lead to reduced losses, increased efficiency, or improved customer outcomes?

• Tool Proficiency: Be ready to discuss the specific tools (SAS, SQL, Excel, PowerCurve) you used and how they contributed to the project's success.

Challenge Preparation:

• Data Scenario: Be prepared for a scenario where you are given a dataset and asked to identify trends, anomalies, or provide recommendations. Practice quick data interpretation.

• Process Design: You might be asked to outline the steps for implementing a change request or designing a test plan for a new strategy.

• Stakeholder Communication: Think about how you would communicate complex analytical findings or strategy recommendations to both technical and non-technical audiences.

📝 Enhancement Note: Interview preparation should focus on demonstrating a strong analytical skillset, a methodical approach to strategy execution and testing, and the ability to translate data into actionable business insights. Emphasize experience with relevant tools and a proactive, problem-solving attitude.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided link on the Bank of America careers portal.

• Resume Optimization: Tailor your resume to highlight experience in consumer credit lending, strategy development, data analysis (SAS, SQL, Excel), fraud management, and testing methodologies. Quantify your achievements with specific metrics related to risk reduction, efficiency gains, or process improvements.

• Portfolio Preparation: Gather examples of past projects that showcase your analytical skills, strategy execution capabilities, and problem-solving approaches. Focus on projects involving data analysis, strategy implementation, testing, and performance monitoring, ideally with quantifiable results.

• Interview Practice: Prepare to discuss your experience using the STAR method, focusing on responsibilities related to this role. Practice answering questions about strategy design, data analysis, risk mitigation, and tool proficiency. Be ready to articulate your understanding of strategy testing and validation processes.

• Company Research: Familiarize yourself with Bank of America's mission, values, and its position within the financial services industry. Understand their commitment to responsible growth and customer service, and how this role contributes to those objectives.

⚠️ 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.