AI Product Strategy, Global Services - Director

📍 Job Overview

Job Title: AI Product Strategy, Global Services - Director

Company: Citi

Location: 388 Greenwich Street, New York, NY, United States

Job Type: Full-Time

Category: Product Management & Development / AI Product Strategy

Date Posted: 2026-08-12

Experience Level: 10+ Years

Remote Status: Hybrid

🚀 Role Summary

• Lead the end-to-end AI product strategy and roadmap for a specific business line within Citi's Global Services division, driving measurable business outcomes.

• Own the commercial agenda for AI initiatives, including developing sophisticated business cases with full P&L accountability and defining strategic bets for investment.

• Drive client-facing AI product development through direct engagement, co-creation, and validation with enterprise clients to deliver tangible value.

• Champion AI adoption internally by identifying, prioritizing, and deploying tools to enhance operational efficiency and team productivity across the business line.

📝 Enhancement Note: This role is distinct from traditional engineering or platform-focused AI positions. The emphasis is on commercial outcomes, P&L impact, and client-facing product strategy within a specific financial services vertical, requiring a blend of product management, business acumen, and deep AI understanding.

📈 Primary Responsibilities

• Define and execute the global AI product vision, strategy, and multi-year roadmap for a designated business line (e.g., Payments, Liquidity & Cash Management), ensuring alignment with enterprise AI standards and business objectives.

• Translate complex business challenges, client needs, and market dynamics into a prioritized pipeline of commercially viable AI use cases.

• Build and defend robust business cases for AI initiatives, rigorously evaluating ROI, revenue potential, cost impact, and strategic alignment.

• Lead the design, development, and delivery of AI-powered products that create measurable client value, such as intelligent payment orchestration or predictive receivables.

• Engage directly with enterprise clients to understand their pain points, co-create innovative AI solutions, and validate product concepts throughout the lifecycle.

• Own the full product lifecycle from initial concept and client discovery through go-to-market strategy, global launch, and post-launch commercial iteration.

• Oversee the geographic expansion of AI capabilities across 30+ markets, adapting solutions to local regulatory requirements while maintaining global design consistency.

• Champion responsible AI practices, ensuring compliance with Citi's enterprise risk standards, including model risk governance, data lineage, and explainability.

• Partner proactively with Legal, Risk, Compliance, and Model Risk teams to navigate the evolving regulatory landscape for AI deployments.

• Cultivate strong partnerships with Sales, Technology, Operations, Finance, Risk, and Legal teams to ensure alignment and consensus on the AI strategy.

• Serve as the primary advocate for the business line's AI agenda, effectively communicating with senior leadership, clients, and external partners.

📝 Enhancement Note: The responsibilities highlight a strong focus on commercialization, client engagement, and P&L accountability, differentiating this from a purely technical AI role. The need to navigate global regulatory environments and lead matrixed teams is a critical aspect.

🎓 Skills & Qualifications

Education: Specific educational requirements are not detailed, but a strong foundation in a quantitative field or business discipline is implied by the experience and responsibilities.

Experience: 12+ years of product management or product leadership experience, with a proven track record of delivering large-scale, technology-led products.

Required Skills:

• Proven experience building, launching, and scaling AI/ML-powered products from concept through commercialization, ideally within financial services or FinTech.

• Demonstrated P&L ownership or direct accountability for key business metrics significantly improved through product launches.

• 5+ years of direct or indirect external client-facing experience; comfortable co-creating and validating products with enterprise clients.

• Deep domain expertise in at least one financial services vertical (e.g., Payments, Transaction Banking, Liquidity Management Services).

• Strong understanding of AI concepts, model risk management, responsible AI frameworks, and enterprise governance requirements.

• Exceptional stakeholder management skills: ability to build consensus, influence without authority, and operate effectively in a matrixed global organization.

• Outstanding communication skills: ability to articulate complex AI concepts to executive, technical, and client audiences. Preferred Skills:

• Experience working within or alongside compliance, legal, or risk functions on regulated AI deployments.

• Familiarity with Generative AI, agentic AI tools, and their practical application to enterprise productivity and client workflows.

• Experience leading global product teams across multiple regions.

📝 Enhancement Note: The required experience level (12+ years) and specific domain expertise in financial services, coupled with client-facing and P&L responsibilities, indicate a senior leadership role focused on driving commercial value through AI rather than pure technical development.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrations of successfully defining and executing AI product roadmaps from ideation to commercialization.

• Case studies showcasing the development and launch of AI/ML-powered products, ideally within financial services.

• Examples of business cases developed for AI initiatives, clearly outlining ROI, revenue potential, and cost impact.

• Evidence of direct client engagement and co-creation processes leading to product validation and adoption.

• Documentation of experience managing product lifecycles, including go-to-market strategies and scaling plans. Process Documentation:

• Workflow examples illustrating the translation of business challenges into prioritized AI use cases.

• Process flows detailing the end-to-end product lifecycle management for AI-driven solutions.

• Methodologies for assessing and mitigating model risk, ensuring responsible AI deployment.

• Strategies for adapting and scaling AI products across diverse global markets and regulatory environments.

📝 Enhancement Note: While not explicitly stated as a "portfolio requirement," the job description strongly implies the need for candidates to demonstrate tangible results and strategic thinking in their past product leadership roles, particularly concerning AI commercialization and client impact.

💵 Compensation & Benefits

Salary Range: $170,000.00 - $300,000.00 annually. This range is typical for a Director-level Product Strategy role in a major financial institution in New York City, considering the extensive experience required, P&L accountability, and leadership responsibilities.

Benefits:

• Comprehensive medical, dental, and vision coverage.

• 401(k) retirement savings plan.

• Life, accident, and disability insurance.

• Wellness programs to support employee health and well-being.

• Generous paid time off packages, including vacation, sick leave, and paid holidays.

• Potential for discretionary and formulaic incentive and retention awards.

Working Hours: Approximately 40 hours per week, with the expectation of flexibility to meet global business demands and project timelines.

📝 Enhancement Note: The provided salary range is a primary range. The note about discretionary and formulaic incentive and retention awards suggests potential for additional compensation based on performance and company success, common for senior leadership roles.

🎯 Team & Company Context

🏢 Company Culture

Industry: Financial Services, specifically Global Transaction Banking and related services. Citi's Services business offers global solutions in Liquidity Management Services, Payments, Trade & Working Capital Solutions, Investor Services, and Issuer Services.

Company Size: Citi is a large, global financial institution with tens of thousands of employees worldwide.

Founded: 1812, with a long history and established presence in the global financial market.

Team Structure:

• The role operates within Citi's Global Services division, focusing on AI Product Strategy for a specific business line.

• It involves leading a matrixed, global product team, requiring collaboration across multiple regions, functions (Sales, Technology, Operations, Finance, Risk, Legal), and regulatory environments.

• The reporting structure is likely to be within a senior product management or business line leadership hierarchy, with direct interaction with executive leadership. Methodology:

• Data-Driven Strategy: The role emphasizes defining AI strategy based on measurable business outcomes, ROI, and P&L impact.

• Client-Centric Development: A core methodology involves direct client co-creation and validation to shape AI solutions.

• Agile & Iterative Product Development: While not explicitly stated, the emphasis on product lifecycle management, commercialization, and iteration suggests an agile or iterative approach to product development.

• Responsible AI Governance: A critical methodology involves embedding risk management, compliance, and ethical considerations into AI product development from the outset.

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

📝 Enhancement Note: Citi's scale and global reach mean that any AI initiative will need to be robust, compliant, and scalable across diverse markets. The culture likely values established processes, risk mitigation, and strong stakeholder alignment, alongside innovation in AI.

📈 Career & Growth Analysis

Operations Career Level: Director-level within Product Management and Development, specifically focused on AI Product Strategy. This is a senior leadership role with significant strategic influence and P&L accountability.

Reporting Structure: The role reports into senior leadership within the Global Services division, likely a Head of Product or a Business Line Head, and involves extensive collaboration with cross-functional leaders across Technology, Sales, Operations, Risk, Legal, and Compliance.

Operations Impact: This role has a direct impact on the revenue generation, cost optimization, and competitive differentiation of a specific business line within Citi's Global Services. Success in this role will drive significant commercial outcomes and shape the future of AI adoption within the organization.

Growth Opportunities:

• Leadership Expansion: Potential to expand leadership scope to cover multiple business lines or broader AI product portfolios within Global Services.

• Strategic Influence: Opportunity to influence enterprise-wide AI strategy and adoption across Citi.

• Industry Recognition: Leading innovative AI products in financial services can lead to industry recognition and thought leadership opportunities.

• Specialization: Deepening expertise in specific AI applications within financial services (e.g., Generative AI for client workflows, advanced predictive analytics for risk).

• Executive Advancement: A successful track record in this role can pave the way for executive-level positions within product, strategy, or business line management.

📝 Enhancement Note: This is a high-impact, high-visibility role with clear pathways for advancement within a major financial institution, particularly in the growing field of AI product strategy.

🌐 Work Environment

Office Type: This is a hybrid role, meaning it will involve a combination of working from Citi's office in New York and remote work. The office environment is expected to be professional and corporate, typical of a major financial institution.

Office Location(s): Primary location is 388 Greenwich Street, New York, NY. This is a significant corporate office in Manhattan.

Workspace Context:

• Collaborative Environment: The role requires extensive collaboration with global teams, suggesting a need for strong virtual collaboration tools and an openness to cross-functional teamwork.

• Technology & Tools: Access to enterprise-grade technology infrastructure, AI/ML platforms, analytics tools, and collaboration software will be provided.

• Team Interaction: Regular interaction with a matrixed global product team, as well as senior stakeholders across various departments.

Work Schedule: The standard work week is approximately 40 hours. However, given the global nature of the role and client-facing responsibilities, flexibility will be required to accommodate different time zones and potential urgent project needs.

📝 Enhancement Note: The hybrid nature emphasizes the need for self-discipline, strong time management, and effective communication skills to maintain productivity and collaboration across both remote and in-office settings.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: HR or recruiter screening to assess basic qualifications and alignment with the role.

• Hiring Manager Interview: In-depth discussion on experience, strategic thinking, domain expertise, and leadership capabilities. Candidates should be prepared to discuss their track record in AI product management and P&L ownership.

• Panel Interviews: Interviews with key stakeholders from Technology, Sales, Risk, and Legal/Compliance. These will focus on cross-functional collaboration, understanding of regulatory environments, and specific AI/ML product experience.

• Case Study/Presentation: Candidates may be asked to present a strategic AI product concept or a past success, demonstrating their ability to articulate vision, build a business case, and outline a go-to-market strategy. Portfolio examples will be crucial here.

• Final Round: Discussion with senior leadership to assess cultural fit and strategic alignment with Citi's broader objectives.

Portfolio Review Tips:

• Quantify Impact: For each project, clearly articulate the business problem, your role, the AI solution implemented, and the measurable results (e.g., revenue increase, cost savings, efficiency gains, client adoption rates).

• Showcase Strategy: Highlight your strategic thinking, roadmap development, and how you translated business needs into AI product initiatives.

• Demonstrate Client Focus: Include examples of client co-creation, feedback integration, and product validation processes.

• Address Risk & Compliance: If possible, include examples of how you navigated regulatory requirements or implemented responsible AI practices.

• Tailor to Citi: Research Citi's specific business lines (Payments, Liquidity) and articulate how your experience and proposed strategies align with their objectives.

Challenge Preparation:

• Be prepared to discuss hypothetical AI product development scenarios within Payments or Liquidity Management.

• Practice articulating complex AI concepts and their business implications clearly and concisely.

• Develop a framework for evaluating AI use cases based on ROI, strategic fit, and feasibility.

• Understand Citi's stated commitment to responsible AI and be ready to discuss its practical application.

📝 Enhancement Note: The interview process will likely be rigorous, assessing not only technical and product management skills but also strategic thinking, commercial acumen, and the ability to operate within a highly regulated financial environment. A strong, data-driven portfolio is essential.

🛠 Tools & Technology Stack

Primary Tools:

• Product Management Platforms: Jira, Confluence, Aha!, Productboard (or similar for roadmap planning, backlog management, and documentation).

• AI/ML Platforms: Experience with cloud-based AI/ML services (e.g., AWS SageMaker, Google AI Platform, Azure Machine Learning) or enterprise AI solutions.

• Data Analysis & BI Tools: Tableau, Power BI, Looker, or similar for data exploration, visualization, and performance tracking.

• CRM: Salesforce or similar CRM systems for understanding client interactions and sales pipelines.

• Collaboration Tools: Microsoft Teams, Slack, Zoom for global team communication and virtual meetings.

Analytics & Reporting:

• Proficiency in analyzing product performance metrics, user adoption rates, and financial impact (ROI, P&L).

• Experience with dashboard creation for executive reporting on AI product performance. CRM & Automation:

• Understanding of how AI products integrate with core banking systems and client-facing platforms.

• Familiarity with workflow automation principles, especially as they relate to AI-driven processes.

📝 Enhancement Note: While specific tools aren't listed, the role implies a need for proficiency in a broad range of technologies relevant to AI product development, data analysis, and enterprise-level collaboration within a financial services context.

👥 Team Culture & Values

Operations Values:

• Client Focus: Prioritizing client needs and co-creating solutions that deliver tangible value.

• Innovation & Transformation: Driving AI-driven transformation within business lines to enhance operations and client experience.

• Commercial Acumen: Focusing on measurable business outcomes, P&L impact, and strategic investment.

• Responsible AI: Upholding ethical standards, regulatory compliance, and risk management in all AI deployments.

• Collaboration & Partnership: Working effectively across global, cross-functional teams to achieve shared objectives.

• Data-Driven Decision Making: Utilizing data and analytics to inform strategy, prioritize initiatives, and measure success.

Collaboration Style:

• Matrixed Leadership: Leading and influencing teams without direct reporting lines, fostering consensus and alignment across diverse groups.

• Cross-Functional Integration: Deep partnerships with Technology, Sales, Operations, Risk, Legal, and Compliance are essential for successful product development and deployment.

• Global Teamwork: Adapting communication and collaboration strategies to work effectively with international teams across different cultures and time zones.

• Open Communication: Encouraging transparent dialogue, feedback exchange, and knowledge sharing to drive continuous improvement.

📝 Enhancement Note: Citi's culture in this area likely balances innovation with the rigor required for a highly regulated financial institution. Success hinges on strong interpersonal skills and the ability to build trust and drive alignment across diverse stakeholders.

⚡ Challenges & Growth Opportunities

Challenges:

• Navigating Regulatory Complexity: Ensuring AI products comply with a complex and evolving global regulatory landscape for financial services.

• Driving Adoption in a Traditional Industry: Overcoming potential inertia or resistance to adopting new AI technologies within established financial services operations.

• Balancing Innovation with Risk: Developing cutting-edge AI solutions while rigorously managing model risk, data security, and compliance.

• Global Scalability: Adapting AI products to meet diverse market needs, regulatory requirements, and operational capabilities across 30+ countries.

• Measuring ROI Effectively: Accurately quantifying the business impact and ROI of AI initiatives, especially for complex or long-term projects.

Learning & Development Opportunities:

• Deep Dive into Financial Services AI: Gaining unparalleled expertise in applying AI to specific financial services verticals like Payments and Liquidity Management.

• Executive Leadership Training: Opportunities for formal leadership development programs within Citi.

• Industry Conferences & Thought Leadership: Engaging with AI and FinTech communities, potentially speaking at industry events.

• Mentorship: Access to senior leaders within Citi for guidance and career development.

• Exposure to Generative AI: Gaining hands-on experience with emerging AI technologies and their practical applications in enterprise settings.

📝 Enhancement Note: This role presents a significant opportunity to tackle complex, high-impact challenges at the forefront of AI adoption in financial services, with substantial potential for professional growth and development.

💡 Interview Preparation

Strategy Questions:

• "How would you define the AI product strategy for Citi's Payments business over the next 3-5 years, considering current market trends and regulatory constraints?"

• "Describe a time you had to build a business case for an AI product with significant P&L impact. What were the key assumptions, and how did you validate them?"

• "Imagine a client is hesitant about adopting an AI-powered solution due to data privacy concerns. How would you address their concerns and build trust?"

• "How would you prioritize AI use cases for a business line aiming to improve operational efficiency versus those focused on revenue generation?" Company & Culture Questions:

• "What do you know about Citi's Global Services business and its strategic priorities regarding AI?"

• "How do you approach building consensus and influencing stakeholders across different global regions and functions (e.g., Tech, Sales, Legal, Risk)?"

• "Describe your understanding of 'Responsible AI' and how you would embed it into a product development lifecycle."

• "What makes you a good fit for Citi's culture, particularly in a hybrid work environment?" Portfolio Presentation Strategy:

• Structure: Start with the overarching strategic goal, then detail your specific role, the AI solution, the implementation process, and finally, the measurable business outcomes.

• Quantification is Key: For each case study, emphasize metrics like revenue growth, cost savings, efficiency improvements (e.g., reduced processing time), client adoption rates, or improved Net Promoter Score (NPS).

• Highlight Collaboration: Explain how you worked with cross-functional teams (Technology, Sales, Risk, Legal) and clients to achieve success.

• Address Challenges: Be prepared to discuss challenges faced (e.g., regulatory hurdles, technical issues, stakeholder resistance) and how you overcame them.

• Visualize Data: Use clear, concise visuals (charts, graphs) to present data and impact.

📝 Enhancement Note: Candidates should prepare specific examples that demonstrate their strategic thinking, commercial acumen, client-facing skills, and ability to navigate complex, regulated environments. The portfolio presentation should be data-rich and outcome-focused.

📌 Application Steps

To apply for this AI Product Strategy Director position at Citi:

• Submit your application through the provided link on Citi's careers portal.

• Tailor Your Resume: Highlight your 12+ years of product management experience, specifically focusing on AI/ML product development, financial services domain expertise (Payments, Liquidity), P&L accountability, and client-facing success. Integrate keywords from the job description naturally.

• Prepare Your Portfolio: Curate 2-3 key case studies that showcase your most impactful AI product initiatives. Ensure these examples demonstrate strategic roadmap development, business case creation, client co-creation, and measurable P&L/business outcomes. Quantify results wherever possible.

• Research Citi: Thoroughly understand Citi's Global Services business lines, their strategic objectives, and their stated commitment to AI and responsible innovation. Prepare to discuss how your experience aligns with these.

• Practice Your Narrative: Rehearse articulating your experience, strategic approach, and how you would tackle the challenges of this role. Be ready to confidently present your portfolio during interviews.

⚠️ 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.