Senior Business Manager - AIML Product Strategy

📍 Job Overview

Job Title: Senior Business Manager - AIML Product Strategy

Company: Capital One

Location: McLean, VA; Richmond, VA

Job Type: Full time

Category: Revenue Operations / GTM Strategy (with a strong AI/ML product focus)

Date Posted: September 14, 2026

Experience Level: 5-10 Years

Remote Status: On-site

🚀 Role Summary

• This role is pivotal in shaping the strategic destination and continuous improvement of Capital One's AI & ML platforms, acting as a key enabler for enterprise-wide AI adoption and innovation.

• It involves deep collaboration with senior leadership, business stakeholders, and AI/ML platform teams to identify critical leverage points and define the future roadmap for AI capabilities.

• The position requires a blend of strategic vision, analytical rigor, and strong communication skills to translate complex technical concepts into actionable business strategies and compelling narratives.

• You will be instrumental in driving "on-the-ground" problem-solving and ensuring the delivery of reusable AI capabilities that support diverse business functions like servicing, marketing, credit underwriting, and fraud detection.

📝 Enhancement Note: While the title is "Senior Business Manager," the core responsibilities and focus on "AIML Product Strategy," "platforms," and "reusable capabilities" indicate this role sits at the intersection of Product Management, Strategy, and Operations within a technology-driven organization. It's crucial for operations professionals to understand this blend of strategic planning, platform enablement, and business impact, aligning it with GTM and Revenue Operations principles of driving efficiency and revenue through technology.

📈 Primary Responsibilities

• Develop and articulate the strategic vision and roadmap for Capital One's AI & ML platforms, working closely with AIML senior leadership and business unit partners.

• Conduct customer-centric analysis to identify desired outcomes, required reusable capabilities, and foundational services for AI platform development.

• Craft compelling storylines and presentations to effectively communicate the AIML strategy across the enterprise, ensuring alignment and buy-in from diverse stakeholders.

• Facilitate collaborative problem-solving sessions with lines of business and AIML teams to address "on-the-ground" challenges and accelerate AI adoption.

• Drive the continuous delivery and improvement of AI platform capabilities by translating strategic objectives into actionable plans and monitoring progress against key performance indicators.

• Analyze market trends, competitive landscapes, and internal use cases to identify strategic opportunities for AI platform enhancement and expansion.

• Support the development of financial models and business cases to justify investments in AI platform initiatives and measure their return on investment (ROI).

• Manage cross-functional project initiatives, ensuring timely delivery of platform features and capabilities that meet business needs.

📝 Enhancement Note: The responsibilities lean heavily into strategic planning, product vision, and cross-functional alignment, which are core to GTM and Revenue Operations. The emphasis on "reusable capabilities" and "platforms" suggests a focus on scalability and efficiency, common themes in operations roles. Candidates should highlight experience in translating business needs into technical requirements and vice-versa, a critical skill in bridging business and technology.

🎓 Skills & Qualifications

Education:

• Bachelor’s Degree required; a Master's Degree in Business or a quantitative field (e.g., Finance, Economics, Physical Sciences, Math, Statistics, Engineering) is strongly preferred. Experience:

• 5+ years of experience in quantitative analysis.

• 5+ years of experience in qualitative analysis.

• 2+ years of experience in people management.

• 2+ years of experience in product development.

• 2+ years of experience in financial modeling.

• 2+ years of experience in economic forecasting.

• 2+ years of experience in project management. Required Skills:

• Strategic Thinking: Proven ability to develop long-term visions, identify strategic opportunities, and translate them into actionable plans.

• Quantitative Analysis: Proficiency in analyzing complex data sets to derive insights, forecast trends, and measure performance.

• Qualitative Analysis: Skill in gathering and synthesizing information from various sources, including stakeholder interviews and market research, to understand business needs and challenges.

• People Management: Experience leading and developing teams, fostering collaboration, and driving performance.

• Project Management: Demonstrated ability to manage projects from inception to completion, ensuring on-time and on-budget delivery.

• Communication & Storytelling: Exceptional ability to articulate complex ideas clearly and persuasively to senior leadership and diverse audiences, both verbally and in writing.

Preferred Skills:

• Product Development Lifecycle: Understanding of product development processes, from ideation to launch and iteration.

• Financial Modeling & Economic Forecasting: Expertise in building financial models and forecasting economic trends to support strategic decision-making.

• AI/ML Domain Acumen: A strong understanding of AI and Machine Learning concepts, platforms, and their applications in business contexts.

• Stakeholder Management: Proven ability to build strong relationships and influence stakeholders across different business units and levels.

• Agile Methodology: Experience working in agile environments, adapting to changing priorities, and driving iterative improvements.

• Business Analysis: Skill in identifying business requirements, analyzing processes, and recommending solutions.

📝 Enhancement Note: The emphasis on both quantitative and qualitative analysis, coupled with project and people management, is standard for senior operational roles. The preferred qualifications, particularly in AI/ML domain acumen, product development, and financial modeling, highlight the advanced strategic and technical nature of this position, moving beyond traditional operations into product strategy. Operations candidates should frame their experience in terms of driving business outcomes and enabling technology adoption.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Strategic Roadmapping Examples: Showcase experience in developing and presenting strategic roadmaps for technology platforms or product initiatives, demonstrating foresight and alignment with business objectives.

• Business Case Development: Include examples of detailed business cases for new initiatives, quantifying potential ROI, outlining resource requirements, and detailing risk assessments.

• Process Optimization Case Studies: Present case studies detailing how you identified inefficiencies in existing business processes (especially those related to technology adoption or data utilization) and implemented solutions that led to measurable improvements.

• Stakeholder Management Frameworks: Illustrate frameworks or methodologies used to manage complex stakeholder relationships, ensuring alignment and buy-in for strategic initiatives.

Process Documentation:

• Workflow Design for AI Platforms: Demonstrate experience in documenting workflows for the development, deployment, and management of AI/ML platforms or related technologies, focusing on clarity and efficiency.

• Requirements Gathering & Documentation: Provide examples of how you have documented business and technical requirements for complex technology projects, ensuring all relevant stakeholders' needs are captured.

• Performance Measurement Frameworks: Showcase documentation related to setting up KPIs and metrics for tracking the performance, adoption, and impact of strategic initiatives or technology platforms.

📝 Enhancement Note: For a role like this, a portfolio should emphasize strategic planning documents, business cases, and presentations that showcase an ability to influence and drive decisions. For operations professionals, this means highlighting how they've supported GTM strategies, improved sales/revenue processes, or enabled data-driven decision-making through technology platforms. Demonstrating an understanding of platform enablement and ROI for technology investments will be key.

💵 Compensation & Benefits

Salary Range:

• McLean, VA: $200,700 - $229,100 annually

• Richmond, VA: $182,500 - $208,300 annually

Benefits:

• Comprehensive health insurance coverage.

• Financial well-being support programs.

• Performance-based incentive compensation, including potential cash bonuses and long-term incentives (LTI).

• Access to a comprehensive and competitive suite of benefits supporting total well-being, as detailed on the Capital One Careers website.

• Opportunities for professional development and continuous learning. Working Hours:

• Standard full-time hours, typically 40 hours per week, with potential for extended hours based on project demands and strategic initiatives.

📝 Enhancement Note: The salary ranges provided are for the specified locations. For operations professionals, it's important to note that these figures reflect a senior-level role with significant strategic responsibility. The benefits package, particularly the performance-based incentives, aligns with roles that have a direct impact on business outcomes and revenue generation. The "on-site" work arrangement implies a structured work schedule, though flexibility may be offered within that framework. Salary research for McLean, VA, indicates these figures are competitive for senior management and strategic roles in the tech and finance sectors in the Washington D.C. metropolitan area, considering the high cost of living. Richmond, VA, while still a significant market, typically has a slightly lower cost of living, reflected in the lower salary band.

🎯 Team & Company Context

🏢 Company Culture

Industry: Financial Services (with a strong emphasis on technology and innovation). Capital One is a leading tech company within the banking sector, known for its cloud-first approach and significant investment in AI/ML.

Company Size: Large Enterprise (over 10,000 employees). This size implies structured processes, significant resources, and opportunities for impact across a broad organization, but also potential for navigating larger bureaucratic structures.

Founded: 1994. Capital One has a history of innovation and founder-led growth, positioning itself as a disruptor in the financial industry.

Team Structure:

• The Enterprise AI and Machine Learning (AIML) team is a central function responsible for building and maintaining the AI/ML platforms used across Capital One.

• This specific role is within the AIML Product Strategy team, indicating a focus on defining the direction and capabilities of these platforms.

• Collaboration is expected to be extensive, involving senior AIML leadership, business unit strategists, product managers, and engineering teams. Methodology:

• Capital One emphasizes an agile and data-driven approach to product development and strategy.

• The company is known for its strong analytical capabilities and a culture that encourages innovation and continuous improvement, particularly in AI and cloud technologies.

• A "platform company" mindset means a focus on building reusable capabilities that enable other teams to innovate efficiently.

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

📝 Enhancement Note: Capital One's self-description as a "bank a technology company would build" and its #1 ranking in AI Talent are critical context. For operations professionals, this means the environment is highly data-centric, fast-paced, and focused on leveraging cutting-edge technology to drive business outcomes. The "platform company" approach suggests an emphasis on scalability, efficiency, and standardized processes, which aligns well with operations principles.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a Senior Business Manager, indicating a mid-to-senior level within the management track. It requires significant strategic input, leadership experience, and the ability to influence at higher levels.

Reporting Structure: The role reports into AIML Product Strategy leadership, likely a Director or VP level, and will collaborate closely with other senior leaders within the AIML organization and various business units.

Operations Impact: The impact is substantial, directly influencing the strategic direction and capabilities of Capital One's AI/ML platforms. This role is key to enabling the broader organization to leverage AI for competitive advantage, efficiency gains, and enhanced customer experiences, ultimately driving revenue and business growth.

Growth Opportunities:

• Specialization in AI/ML Product Strategy: Deepen expertise in AI/ML product management and strategy within a leading financial services technology organization.

• Leadership Development: Opportunities to hone people management skills and potentially lead larger teams or strategic initiatives within the AIML organization.

• Cross-Functional Leadership: Expand influence across various business units by driving AI platform adoption and identifying new use cases, fostering a broader understanding of AI's strategic value.

• Industry Thought Leadership: Contribute to Capital One's reputation at the frontier of AI through involvement in strategic planning, internal knowledge sharing, and potentially external-facing contributions (conferences, publications) if aligned with company policy.

📝 Enhancement Note: For operations professionals, this role offers a significant step into strategic product management within a high-growth technology area. The growth path likely leads to Director-level positions in Product Strategy, Operations Management, or GTM leadership, with a strong emphasis on AI/ML initiatives. The opportunity to influence enterprise-wide technology strategy is a major draw.

🌐 Work Environment

Office Type: This is an on-site role, suggesting a traditional office environment within Capital One's facilities in McLean or Richmond, VA.

Office Location(s): McLean, VA (likely near corporate headquarters) and Richmond, VA. These locations offer access to major metropolitan areas with established business infrastructure and talent pools.

Workspace Context:

• Expect a collaborative office setting designed to foster teamwork and innovation, typical of a large tech-forward company.

• Access to cutting-edge technology, data analytics tools, and internal platforms will be standard.

• Opportunities for interaction with diverse teams, including data scientists, engineers, product managers, and business leaders, will be frequent.

Work Schedule: The role is full-time, implying a standard 40-hour work week. However, given the strategic nature and the "frontier of AI" focus, there may be periods requiring extended hours to meet critical deadlines or support major strategic initiatives. Flexibility within the on-site framework is likely, but the expectation is consistent presence and engagement.

📝 Enhancement Note: The on-site requirement emphasizes collaboration and in-person engagement, which can be beneficial for complex strategy development and stakeholder alignment in operations. Candidates should be prepared for a structured work environment that values team synergy and direct communication.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will likely conduct an initial call to assess basic qualifications, experience, and cultural fit.

• Hiring Manager Interview: A deeper dive into your strategic thinking, analytical capabilities, and leadership experience, focusing on how you've tackled complex business problems.

• Panel Interviews: Expect interviews with multiple stakeholders, including peers, senior leaders, and cross-functional partners. These will assess your ability to collaborate, communicate, and influence across different teams and levels.

• Case Study/Presentation: A common element will be a strategic case study or presentation exercise. You may be asked to analyze a business problem, propose an AI platform strategy, or present a roadmap, demonstrating your analytical, strategic, and communication skills. This is where your portfolio can be leveraged.

• Final Round: Potentially with very senior leadership to confirm strategic alignment and suitability for the role.

Portfolio Review Tips:

• Focus on Strategic Impact: Curate examples that demonstrate your ability to define and drive strategic initiatives, not just execute tasks.

• Quantify Results: For any case study or project presented, clearly articulate the business problem, your approach, and the quantifiable outcomes (e.g., revenue impact, efficiency gains, cost savings, adoption rates).

• Showcase Process Improvement: Highlight instances where you improved processes, adopted new technologies, or optimized workflows to achieve business objectives. For operations roles, this could involve optimizing sales processes, improving data utilization, or streamlining GTM operations.

• Tailor to AI/ML: Where possible, include examples that touch upon technology strategy, platform enablement, or data-driven decision-making, even if not directly AI/ML related.

• Prepare a Narrative: Be ready to walk through your portfolio items, explaining the context, your specific contributions, and the lessons learned.

Challenge Preparation:

• Strategic Frameworks: Be prepared to discuss common strategic frameworks (e.g., Porter's Five Forces, SWOT, Ansoff Matrix) and how you'd apply them to AI platform strategy.

• AI/ML Concepts: Refresh your understanding of core AI/ML concepts, common platforms, and their business applications.

• Stakeholder Alignment: Practice articulating how you would gain buy-in from diverse stakeholders (e.g., engineering, business units, finance) for a strategic initiative.

• Problem Decomposition: Be ready to break down complex, ambiguous problems into smaller, manageable components and propose structured approaches to solve them.

📝 Enhancement Note: The emphasis on a case study or presentation is critical. Operations professionals should prepare to showcase how they've used data and process optimization to drive business results, framing it within a strategic context relevant to AI platform adoption. Demonstrating an understanding of how technology platforms enable GTM or revenue operations will be highly advantageous.

🛠 Tools & Technology Stack

Primary Tools:

• Microsoft Office Suite / Google Workspace: Advanced proficiency in Excel/Sheets (for data analysis, financial modeling), PowerPoint/Slides (for presentations, strategy articulation), and Word/Docs.

• Project Management Software: Experience with tools like Jira, Asana, Monday.com, or similar for tracking project progress, managing backlogs, and facilitating agile workflows.

• Collaboration Tools: Proficiency with tools like Slack, Microsoft Teams, Confluence for communication, documentation, and knowledge sharing.

Analytics & Reporting:

• Business Intelligence Tools: Familiarity with BI platforms like Tableau, Power BI, or Looker for data visualization, dashboard creation, and performance reporting.

• Data Analysis Tools: Experience with SQL for data extraction and manipulation; familiarity with statistical software or languages like R or Python for more advanced analysis is a plus.

CRM & Automation:

• While not explicitly stated as a primary focus, understanding CRM principles (e.g., Salesforce) and workflow automation concepts is beneficial for understanding how AI platforms integrate with business processes. Experience with enterprise-level systems is a plus.

📝 Enhancement Note: While the role is strategic, a strong understanding of the tools that enable data analysis, project management, and communication is essential. For operations candidates, highlighting experience with BI tools, SQL, and project management software will be crucial. The ability to work with data to inform strategy and measure impact is paramount.

👥 Team Culture & Values

Operations Values:

• Innovation & Frontier Thinking: A strong drive to be at the cutting edge of AI and technology, constantly seeking new ways to leverage these capabilities.

• Data-Driven Decision Making: A commitment to using data and rigorous analysis to inform strategy, measure impact, and drive continuous improvement.

• Collaboration & Teamwork: Emphasis on working together across diverse teams and functions to achieve shared goals, fostering an inclusive environment.

• Customer Focus: A dedication to understanding and serving internal customers (business units) and external customers through innovative AI solutions.

• Agility & Adaptability: The ability to thrive in a dynamic environment, adapt to change, and iterate quickly on strategies and solutions.

Collaboration Style:

• Expect a highly collaborative environment where open communication and constructive feedback are encouraged.

• Cross-functional collaboration is a cornerstone, requiring strong relationship-building and influence skills to align diverse teams towards common objectives.

• A culture of knowledge sharing and continuous learning is fostered, with opportunities to learn from experts in AI/ML and various business domains.

📝 Enhancement Note: The company's emphasis on being at the "frontier of AI" and its "platform company" mentality suggests a culture that values forward-thinking, data-backed decisions, and efficient execution. Operations professionals who can demonstrate a proactive, collaborative, and results-oriented approach will align well with this culture.

⚡ Challenges & Growth Opportunities

Challenges:

• Navigating a Large Enterprise: Balancing strategic vision with the realities of large-scale implementation and organizational change within a major financial institution.

• Rapidly Evolving AI Landscape: Staying abreast of fast-paced advancements in AI/ML technology and effectively translating these into actionable platform strategies.

• Cross-Functional Alignment: Ensuring buy-in and coordinated efforts from numerous stakeholders with potentially competing priorities across different business units.

• Measuring ROI of AI Platforms: Developing robust frameworks to quantify the business value and return on investment for complex AI platform initiatives.

Learning & Development Opportunities:

• Deep Dive into AI/ML Strategy: Gain unparalleled experience in shaping the AI strategy of a leading tech company, working with world-class talent.

• Advanced Analytics & Product Development: Opportunities to learn and apply advanced analytical techniques and product development methodologies in a real-world, high-impact setting.

• Executive Presence & Influence: Develop strong executive communication and stakeholder management skills by working directly with senior leadership.

• Industry Exposure: Engage with cutting-edge AI research and applications, potentially attending top AI conferences or contributing to internal knowledge sharing.

📝 Enhancement Note: For operations professionals, the challenge lies in applying their process optimization and strategic enablement skills to a highly technical and rapidly evolving domain like AI/ML. The growth opportunities are significant, offering a pathway into specialized technology strategy and leadership roles.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you developed a long-term strategic vision for a product or platform. How did you gain buy-in from stakeholders?" (Focus on your process, communication, and stakeholder management.)

• "How would you assess the current state of AI/ML capabilities within a large organization and identify key areas for strategic investment?" (Demonstrate analytical frameworks and strategic prioritization skills.)

• "Imagine we want to build a new AI platform capability to improve customer servicing. What are the key steps you would take to define its strategy and roadmap?" (Showcase your structured approach, customer focus, and understanding of platform principles.) Company & Culture Questions:

• "What do you know about Capital One's position in AI/ML and its 'platform company' strategy? How does this role fit into that vision?" (Research the company's stated goals and demonstrate alignment.)

• "Describe your experience working in a collaborative, agile environment. How do you handle differing opinions or priorities among team members?" (Highlight teamwork, communication, and conflict resolution skills.)

• "How do you measure the success and impact of strategic initiatives, especially those involving complex technology like AI platforms?" (Prepare to discuss KPIs, ROI, and relevant metrics.) Portfolio Presentation Strategy:

• Structure Your Narrative: For each portfolio item, clearly articulate the business context, the problem you solved, your specific role and actions, the outcome (quantified), and key learnings.

• Emphasize Strategic Impact: Select examples that best showcase your strategic thinking, problem-solving abilities, and ability to drive significant business outcomes.

• Connect to AI/ML: While your experience might be in broader operations or product roles, try to draw parallels to how your work enabled technology adoption, data utilization, or efficiency gains that are foundational to AI/ML success.

• Be Prepared for Deep Dives: Anticipate detailed questions about your contributions, methodologies, and the rationale behind your decisions.

📝 Enhancement Note: Operations candidates should prepare to translate their experience in process improvement, GTM strategy, or revenue enablement into the language of AI platform strategy. Focus on how your past roles have driven efficiency, scalability, and competitive advantage through technology and data.

📌 Application Steps

To apply for this operations-aligned strategy position:

• Submit your application through the Capital One careers portal via the provided link.

• Tailor Your Resume: Highlight keywords and experiences related to strategic thinking, quantitative/qualitative analysis, product strategy, AI/ML (if applicable), project management, and leadership. Quantify your achievements with specific metrics.

• Curate Your Portfolio: Select 2-3 key projects or case studies that best demonstrate your strategic planning, problem-solving, and business impact capabilities. Prepare to present these effectively.

• Research Capital One's AI Strategy: Understand their stated goals, recent achievements (e.g., AI patent filings, conference presentations), and their "platform company" ethos.

• Practice Interview Questions: Prepare responses to common strategic, behavioral, and situational interview questions, focusing on your operations background's relevance to this role.

⚠️ 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.