Vice President - AI Product Strategy & Intelligence – Controls Transformation

📍 Job Overview

Job Title: Vice President - AI Product Strategy & Intelligence – Controls Transformation

Company: JPMorgan Chase & Co.

Location: Mumbai, Maharashtra, India

Job Type: Full time

Category: Revenue Operations / Product Strategy & Intelligence (GTM Focus)

Date Posted: June 18, 2026

Experience Level: 10+ Years

Remote Status: On-site

🚀 Role Summary

• Drive the strategic vision and execution for AI-enabled controls transformation platforms within the CIB Controls Management Tech & Tooling team, focusing on integrated, data-driven decisioning and scalable execution.

• Lead the translation of complex business problems into structured product strategies, clear requirements, and actionable delivery plans across a portfolio of AI-enabled capabilities.

• Own end-to-end delivery alignment by prioritizing backlogs, managing dependencies, and facilitating trade-off decisions across Product, Engineering, and Data teams.

• Partner closely with senior leadership and cross-functional teams to embed AI-enabled capabilities into core controls workflows, significantly enhancing decision quality, efficiency, and scalability.

• Contribute to the evolution of the Controls Assessment Transformation (CAT) operating model, standards, and governance frameworks, ensuring consistency and rigor in how business logic and requirements are defined and implemented.

📝 Enhancement Note: This role, while titled "Vice President - AI Product Strategy & Intelligence," has significant overlap with GTM Operations and Revenue Operations principles. The focus on translating business strategy into executable plans, owning delivery across multiple teams, and embedding AI-enabled capabilities into workflows to drive efficiency and decision quality are core GTM Ops functions. The emphasis on "Controls Transformation" indicates a deep dive into operational processes and risk management, which directly impacts revenue generation and client trust.

📈 Primary Responsibilities

• Lead the strategic product vision and roadmap development for AI-enabled solutions within the Controls Assessment Transformation (CAT) ecosystem, aligning with overarching CIB Controls objectives.

• Translate high-level strategic priorities and business needs into detailed, structured problem statements, user stories, and functional requirements for product and engineering teams.

• Drive consistent application of business logic, decision frameworks, and data governance standards across all CAT platforms and initiatives.

• Oversee the end-to-end delivery lifecycle for AI-enabled controls capabilities, including backlog prioritization, sprint planning, dependency management, and cross-team alignment.

• Collaborate with Product Managers, Engineering leads, Data Scientists, and business stakeholders to define, build, and deploy AI-assisted evaluation tools, data-driven insights dashboards, and automated operational processes.

• Ensure cohesive outcomes and seamless integration across the CAT ecosystem by fostering cross-product alignment and managing interdependencies.

• Proactively identify, track, and mitigate delivery risks, dependencies, and impediments, providing transparent and timely updates to senior management and stakeholders.

• Contribute to the continuous improvement of the CAT operating model, establishing and scaling best practices for product development, governance, and AI integration.

• Define key performance indicators (KPIs) and management information (MI) to measure the effectiveness, efficiency, and impact of AI-enabled controls solutions.

• Champion the adoption of AI-enabled capabilities within controls workflows, demonstrating tangible improvements in decision quality, operational efficiency, and scalability.

📝 Enhancement Note: The responsibilities clearly indicate a need for strong operational process design and management. The focus on "end-to-end delivery alignment," "backlog prioritization," and "dependency management" are core tenets of GTM Operations and Product Operations, ensuring that strategic initiatives translate into tangible, efficient business outcomes.

🎓 Skills & Qualifications

Education: Bachelor's degree in a relevant field such as Computer Science, Engineering, Business Administration, Data Science, or a related discipline. A Master's degree or MBA is often preferred for VP-level roles in strategic functions.

Experience: 10+ years of progressive experience in product strategy, product management, data-driven business analysis, or technology delivery within large, complex, and matrixed organizations. Direct experience in financial services or a highly regulated industry is a significant advantage.

Required Skills:

• Product Strategy & Roadmapping: Proven ability to define and articulate a clear product vision, strategy, and roadmap for complex, technology-driven initiatives, particularly those involving AI or advanced analytics.

• Business Analysis & Requirements Definition: Exceptional skill in structuring ambiguous, complex business problems into clear, concise, and actionable problem statements, requirements, and execution plans, with minimal oversight.

• Agile Delivery & Project Management: Demonstrated success in owning and driving delivery across Product, Engineering, and Data teams, utilizing Agile methodologies (Scrum, Kanban) for backlog prioritization, dependency management, and efficient execution.

• Data Governance & Controls Understanding: Strong foundational knowledge of controls, risk management principles, and data governance concepts, including data quality, data lineage, metadata management, and controls over data.

• Analytical & MI Development: Advanced analytical capabilities, including the ability to define, develop, and interpret key metrics, dashboards, and management information (MI) to support executive decision-making and track performance.

• Executive Reporting & Presentation: Proven ability to translate complex data and analytics into clear business insights, create compelling executive-level reports, and develop governance packs using tools like Excel and PowerPoint.

• Data Analysis Tools: Experience working with data analysis and manipulation tools such as SQL for querying databases and Alteryx for data blending, preparation, and advanced analytics.

• Stakeholder Management & Influence: Demonstrated ability to effectively influence senior stakeholders, build strong partnerships across diverse teams (business, technology, data), and navigate governance forums and steering committees.

• Independent Problem Solving: High degree of autonomy and ability to operate effectively in a fast-paced, high-ambiguity environment, capable of setting strategic direction and executing tactical plans.

Preferred Skills:

• AI Product Experience: Hands-on experience working with AI-enabled or data-driven products, including familiarity with prompt engineering and prompt patterns for optimizing evaluation workflows and AI model interactions.

• Business Intelligence Tools: Experience with business intelligence and data visualization tools such as Power BI or Tableau for advanced analytics, dashboard creation, and executive reporting.

• Risk & Controls Background: Direct experience or a strong background in risk management, internal controls, compliance, or regulatory frameworks within the financial services industry.

• Large-Scale Transformation: Experience supporting or leading large-scale transformation initiatives, platform rollouts, or strategic change programs that involve significant technological and process re-engineering.

📝 Enhancement Note: The requirement for "10+ years of experience" at a "Vice President" level, combined with the need for structuring "complex, ambiguous problems" and "owning end-to-end delivery," strongly suggests a role with significant strategic influence and operational oversight, typical of senior GTM or Revenue Operations leadership. The emphasis on AI and data-driven decisioning points to a forward-looking, highly analytical operational function.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Strategic Problem Framing: Showcase examples of how you’ve taken ambiguous business challenges within a complex organizational structure and translated them into well-defined problem statements, strategic objectives, and measurable outcomes.

• End-to-End Delivery Management: Present case studies demonstrating your ownership of product delivery lifecycles, including backlog prioritization, cross-functional team coordination (Product, Engineering, Data), dependency management, and successful launch of technology solutions.

• AI/Data-Driven Solution Design: Include examples of how you've contributed to the design and implementation of AI-enabled features, data-driven insights, or automated processes that improved efficiency, decision quality, or scalability.

• Metrics & Performance Measurement: Provide examples of how you've defined, tracked, and reported on key performance indicators (KPIs) and management information (MI) to measure the impact and success of strategic initiatives and product launches.

Process Documentation:

• Workflow Design & Optimization: Demonstrate experience in mapping, analyzing, and optimizing complex business workflows, particularly those related to controls, risk assessment, or data management, with a focus on embedding automation and AI.

• Agile Process Implementation: Illustrate your understanding and practical application of Agile methodologies (Scrum, Kanban) in managing product backlogs, facilitating sprint planning, and driving iterative delivery cycles.

• Data Governance Frameworks: Showcase familiarity with establishing or adhering to data governance principles, including data quality standards, lineage tracking, and metadata management within product development lifecycles.

• Stakeholder Alignment & Reporting: Provide examples of creating clear communication plans, governance packs, and executive-level reporting that effectively convey strategy, progress, risks, and outcomes to senior leadership.

📝 Enhancement Note: For a VP-level role focused on strategy and intelligence, a portfolio should emphasize strategic thinking, process design, and demonstrable business impact. The emphasis on AI and Controls Transformation suggests a need for documentation that highlights how technology and data were leveraged to optimize intricate business processes and drive measurable outcomes, aligning with GTM and Revenue Operations principles.

💵 Compensation & Benefits

Salary Range: For a Vice President role with 10+ years of experience in a major financial institution like JPMorgan Chase in Mumbai, India, the estimated annual salary range would typically fall between ₹45,00,000 to ₹75,00,000 (approximately $54,000 - $90,000 USD). This range is an estimate and can vary based on the candidate's specific qualifications, experience, and the company's internal compensation structure.

Benefits:

• Comprehensive Health Insurance: Medical, dental, and vision coverage for employees and eligible dependents.

• Retirement Savings Plan: Employer-matched contributions to a provident fund or similar retirement savings scheme.

• Annual Bonus and Performance Incentives: Discretionary bonuses tied to individual, team, and company performance.

• Paid Time Off: Generous annual leave, sick leave, and public holidays.

• Life and Disability Insurance: Coverage to protect employees and their families.

• Professional Development: Access to training programs, certifications, conferences, and internal learning resources to support career growth.

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

• Commuting Assistance: Potential for travel allowances or subsidized transport, given the on-site work requirement.

• Employee Stock Purchase Plans (ESPP): Opportunities to purchase company stock at a discounted rate.

Working Hours: Standard full-time working hours are typically 40 hours per week. Given the VP level and the nature of the role, flexibility may be expected, with potential for extended hours during critical project phases or to meet business demands. The role is on-site.

📝 Enhancement Note: Salary estimates for Mumbai are based on current market research for VP-level roles in the financial services sector, considering the demand for AI, product strategy, and controls expertise. Benefits are typical for large multinational corporations in India.

🎯 Team & Company Context

🏢 Company Culture

Industry: Financial Services (Investment Banking, Commercial Banking, Asset Management). JPMorgan Chase operates at the forefront of the global financial industry, known for its stability, innovation, and extensive client relationships.

Company Size: Large Enterprise (over 10,000 employees). This implies a well-established organizational structure, extensive resources, and a global operational footprint. For operations professionals, this means opportunities to work on large-scale, impactful projects with sophisticated systems and processes, but also requires navigating a complex matrixed environment.

Founded: 2000 (merger of Chase Manhattan Corporation and J.P. Morgan & Co.). With a history tracing back over 200 years through its predecessor companies, JPMC is a titan in the financial world, emphasizing a blend of tradition, innovation, and robust risk management.

Team Structure:

• CIB Controls Management Tech & Tooling: This team likely comprises a dedicated group of product managers, engineers, data scientists, and operations specialists focused on enhancing the control environment within the Commercial & Investment Bank (CIB).

• Reporting Structure: The VP role will likely report to a senior director or managing director within the Controls Management Technology or Product Strategy function.

• Cross-functional Collaboration: The role necessitates deep collaboration with business line leaders, product managers, engineering teams, data analytics teams, risk and compliance officers, and potentially external vendors.

Methodology:

• Data-Driven Decisioning: A strong emphasis on leveraging data analytics, AI, and MI to inform strategic decisions, optimize processes, and measure performance.

• Agile & Iterative Development: Adoption of Agile methodologies for product development and delivery, focusing on iterative improvements and rapid response to evolving business needs.

• Process Optimization & Automation: Continuous efforts to identify inefficiencies in existing controls and operational workflows, and to implement automated solutions and AI-enabled capabilities.

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

📝 Enhancement Note: Understanding JPMorgan Chase's scale and industry position is crucial. For an operations professional, this means operating within a highly regulated environment where efficiency, accuracy, and robust controls are paramount. The "Controls Transformation" aspect highlights a strategic initiative to modernize these critical functions.

📈 Career & Growth Analysis

Operations Career Level: Vice President (VP) - This is a senior leadership position indicating significant responsibility for strategic planning, execution oversight, and team/stakeholder management. In a GTM or Revenue Operations context, a VP would typically be responsible for a critical function or a significant portfolio of initiatives that directly impact revenue generation, sales efficiency, or customer lifecycle management.

Reporting Structure: The VP will report to a senior executive (e.g., Executive Director, Managing Director) within the CIB Controls Management or Technology organization. They will likely manage a team of Product Managers, Business Analysts, or Data Strategists, and will be accountable for the success of their direct reports and the strategic initiatives under their purview.

Operations Impact: This role has a profound impact on the operational resilience and efficiency of the Commercial & Investment Bank. By driving AI-enabled controls transformation, the VP directly influences risk mitigation, regulatory compliance, operational cost reduction, and the ability to scale business operations effectively, all of which are critical for sustainable revenue growth and client trust.

Growth Opportunities:

• Leadership Development: Advancement to Executive Director or Managing Director roles, leading larger teams and broader strategic portfolios within CIB Technology or Operations.

• Specialization in AI & Data Strategy: Deepening expertise in AI product development, prompt engineering, and advanced analytics applications within financial services, becoming a subject matter expert.

• Cross-Functional Mobility: Potential to transition into broader Product Management, Data Strategy, or Business Line leadership roles within the CIB, leveraging a strong understanding of controls and operational efficiency.

• Strategic Initiative Leadership: Opportunity to lead major transformation programs, influencing the future direction of controls and operational technology across the firm.

📝 Enhancement Note: The VP title in a firm like JPMC signifies a substantial level of responsibility and potential for career advancement. For operations professionals, this means opportunities to hone strategic planning, AI implementation, and complex stakeholder management skills, paving the way for leadership roles in GTM, Revenue Operations, or broader financial technology management.

🌐 Work Environment

Office Type: Corporate Office - Nirlon Knowledge Park, Goregaon (East), Mumbai. This is an on-site role within a modern business park environment designed for large technology and financial services firms.

Office Location(s): Primary location is Mumbai, India. JPMorgan Chase has a global presence, but this specific role is based in their Mumbai operations hub.

Workspace Context:

• Collaborative Hub: The office environment likely fosters collaboration through open-plan areas, meeting rooms, and dedicated project spaces, supporting the need for close interaction with Product, Engineering, and Data teams.

• Technology-Rich Environment: Employees will have access to a robust IT infrastructure, advanced workstations, and enterprise-grade software and tools necessary for complex analysis, product development, and communication.

• Team Interaction: Regular opportunities for face-to-face interaction with a diverse team of professionals, including product managers, data scientists, engineers, and business stakeholders, facilitating knowledge sharing and problem-solving.

Work Schedule: The standard work schedule is typically 40 hours per week, Monday to Friday. However, given the VP level and the demanding nature of transformation initiatives and global financial markets, flexibility and occasional extended hours may be required to meet project deadlines and business needs.

📝 Enhancement Note: An on-site role in Mumbai's Nirlon Knowledge Park suggests a professional, well-equipped office environment conducive to collaborative work. For operations roles, this usually means access to necessary digital tools and infrastructure, with the expectation of regular team interaction and potential for flexible working hours depending on project demands.

📄 Application & Portfolio Review Process

Interview Process: The interview process for a VP-level role at JPMorgan Chase is typically rigorous and multi-stage, designed to assess strategic thinking, leadership capabilities, technical acumen, and cultural fit.

• Initial Screening: HR or Talent Acquisition will conduct an initial screening to assess basic qualifications, experience, and alignment with the role's core requirements.

• Hiring Manager Interview: A detailed discussion with the hiring manager to delve into your experience, strategic approach, and understanding of product strategy, AI, and controls. Expect questions about your past accomplishments and how you've handled complex challenges.

• Panel Interviews: You will likely meet with a panel of senior leaders, including peers from Product, Engineering, Data, and potentially business stakeholders. These interviews will focus on your ability to lead, influence, and collaborate across functions. Expect behavioral questions and scenario-based challenges.

• Case Study/Presentation: A common element for strategic roles is a case study or a presentation based on a prompt provided in advance. This could involve analyzing a business problem, proposing a product strategy, or outlining an execution plan for AI-enabled controls transformation. Your portfolio may be used to support this presentation.

• Final Round: Potentially a final interview with a senior executive (Managing Director) to confirm strategic alignment and leadership potential.

Portfolio Review Tips:

• Strategic Framing: Clearly articulate the business problem, your strategic approach, and the intended business outcomes for each project. Use a consistent framework (e.g., STAR method for behavioral aspects, or a structured problem-solution-outcome approach for projects).

• Process Ownership & Impact: Highlight your role in defining, optimizing, or managing key operational processes. Quantify the impact of your work using metrics related to efficiency, cost savings, risk reduction, or revenue enablement.

• AI & Data Integration: Showcase how you've leveraged AI, data analytics, or advanced technologies to solve business problems or enhance operational capabilities. Detail your involvement in strategy, requirements, or delivery.

• Stakeholder Management: Include examples demonstrating your ability to influence, collaborate with, and manage expectations of diverse stakeholders, from technical teams to senior executives.

• Conciseness & Clarity: Ensure your portfolio is well-organized, easy to navigate, and highlights your most relevant achievements. For a VP role, focus on strategic impact and leadership rather than granular task execution.

Challenge Preparation:

• Strategic Problem Solving: Prepare to dissect complex business scenarios, identify root causes, and propose strategic solutions that are technically feasible and operationally sound. Think about how AI can be applied to drive efficiency and better decision-making in controls.

• Cross-Functional Collaboration Scenarios: Be ready to discuss how you would align disparate teams (Product, Engineering, Business) towards a common goal, manage conflicting priorities, and ensure cohesive delivery.

• Metrics & ROI Articulation: Practice articulating the business value and ROI of AI-enabled initiatives. Understand how to define meaningful KPIs for operations and product success.

• Industry & Company Research: Thoroughly research JPMorgan Chase, its CIB operations, its approach to AI and technology, and current trends in financial controls and risk management.

📝 Enhancement Note: The emphasis on "AI Product Strategy & Intelligence" and "Controls Transformation" means interviewers will probe deeply into your ability to think strategically about technology's role in optimizing complex, regulated processes, and your command of data-driven decision-making frameworks.

🛠 Tools & Technology Stack

Primary Tools:

• Product Management Platforms: Tools like Jira, Confluence, or Azure DevOps for backlog management, sprint planning, requirements documentation, and collaboration.

• Data Analysis & Visualization: SQL for database querying, Alteryx for data preparation and advanced analytics, and familiarity with Power BI or Tableau for creating dashboards and management information (MI).

• Collaboration & Communication: Microsoft Office Suite (Excel, PowerPoint, Word), Outlook, and internal JPMC communication tools (e.g., Teams, WebEx).

• AI/ML Platforms: Familiarity with concepts and potentially tools related to AI model development, deployment, and monitoring, including prompt engineering frameworks.

Analytics & Reporting:

• Business Intelligence Tools: Power BI and Tableau are explicitly mentioned as preferred qualifications for analytics and reporting, indicating their importance for visualizing data, tracking KPIs, and creating executive dashboards.

• Data Warehousing & ETL: Understanding of data warehousing principles and ETL (Extract, Transform, Load) processes is beneficial for managing data flow from various sources.

• Metrics Definition & Tracking: Proficiency in defining and tracking operational and product metrics to assess performance and drive continuous improvement.

CRM & Automation:

• CRM Systems: While not explicitly stated, understanding of CRM principles may be relevant if controls touch customer-facing processes or sales enablement.

• Workflow Automation Tools: Exposure to workflow automation concepts and tools, especially in the context of streamlining controls processes and operational tasks.

• Integration Technologies: Awareness of how different systems integrate to ensure seamless data flow and process execution across the CAT ecosystem.

📝 Enhancement Note: The explicit mention of SQL, Alteryx, Power BI, and Tableau, along with "AI-enabled capabilities" and "prompt engineering," highlights the technical proficiency required. A strong understanding of how these tools integrate to support strategic product delivery and operational efficiency is key.

👥 Team Culture & Values

Operations Values:

• Integrity & Trust: Upholding the highest ethical standards in all actions, given the critical nature of financial controls and data management.

• Excellence & Innovation: Driving for superior outcomes through rigorous processes, continuous improvement, and the adoption of cutting-edge AI and data technologies.

• Collaboration & Partnership: Fostering strong, trust-based relationships across business, technology, and data teams to achieve shared objectives.

• Accountability & Ownership: Taking full responsibility for strategic initiatives, delivery commitments, and the impact of AI-enabled solutions.

• Data-Driven Approach: Basing decisions and strategies on robust data analysis, clear metrics, and measurable outcomes.

Collaboration Style:

• Cross-Functional Integration: A highly collaborative approach is expected, with seamless integration across Product, Engineering, Data Science, Risk, Compliance, and Business units to ensure holistic strategy and execution.

• Open Communication & Feedback: Encouraging an environment where ideas are shared openly, challenges are discussed constructively, and feedback is provided to drive continuous improvement in processes and products.

• Strategic Alignment: Working closely with stakeholders to ensure alignment on strategic priorities, resolve conflicts, and maintain focus on delivering impactful AI-enabled controls transformation.

📝 Enhancement Note: JPMorgan Chase, as a leading financial institution, places a high value on integrity, risk management, and operational excellence. For an operations role focused on AI and controls, demonstrating a commitment to these values is paramount, alongside a proactive and collaborative approach to problem-solving.

⚡ Challenges & Growth Opportunities

Challenges:

• Navigating Complexity: Managing the inherent complexity of a large, global financial institution's regulatory environment, diverse technology landscape, and multiple stakeholder groups.

• AI Implementation in Regulated Environments: Successfully integrating cutting-edge AI capabilities into highly regulated financial controls processes, ensuring compliance, security, and ethical considerations are met.

• Data Quality & Integration: Ensuring the accuracy, consistency, and accessibility of data required to train AI models and drive effective controls, often involving disparate legacy systems.

• Driving Adoption: Championing the adoption of new AI-enabled tools and transformed processes across a broad user base, requiring strong change management and communication skills.

Learning & Development Opportunities:

• Advanced AI & ML Training: Access to internal and external resources for deepening knowledge in AI product development, prompt engineering, machine learning operations (MLOps), and responsible AI.

• Financial Services Domain Expertise: Opportunities to expand knowledge of specific CIB operations, risk management frameworks, and regulatory requirements within the financial industry.

• Leadership & Strategy Development: Formal leadership training programs and mentorship opportunities focused on strategic thinking, executive communication, and large-scale program management.

• Industry Conferences & Networking: Potential to attend industry events (e.g., AI in Finance, FinTech conferences) to stay abreast of emerging trends and network with peers.

📝 Enhancement Note: The challenges presented are typical for senior roles at the intersection of AI, strategy, and operations in highly regulated industries. The growth opportunities highlight the potential for deep specialization and leadership development within a prominent financial institution.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex business problem you faced where you had to define a product strategy and drive its execution across multiple teams. How did you structure the problem, define requirements, and ensure alignment?"

• "How would you approach building an AI-enabled capability to assist in control evaluations? What are the key considerations for data, model development, user experience, and risk mitigation in a financial services context?"

• "Given the need for consistency across the CAT ecosystem, how would you establish and enforce standards for business logic and requirements definition across different product teams?"

• "Walk