Senior Director, AI Banking Solutions Product Leader

Senior Director, AI Banking Solutions Product Leader Company: NTT DATA Services We are currently seeking a Senior Director, AI Banking Solutions Product Leader to join our team in Plano, Texas (US-TX), United States (US). Position Summary We are seeking a Senior Director, AI Banking Solutions Product Leader to shape, build, and scale a portfolio of AI-powered Service-as-Software solutions for the banking industry. This role reports to the Executive, AI Solutions Product Leader and leads the industry product agenda within the broader AI Solutions Platform portfolio. The leader will translate industry needs into repeatable AI product concepts, guide product execution, support commercialization, and partner closely with Forward Deployed Engineering, Product Engineering, industry, sales, delivery, and platform teams. This is not a traditional product owner or consulting delivery role. It is a senior product leadership role focused on moving from bespoke services to reusable, platform-led AI products. Final investment decisions, enterprise business ownership, and end-to-end commercial accountability remain with executive governance and business leadership. Role Mandate Shape the product strategy and roadmap for AI Banking Solutions. Identify high-value use cases across retail banking, commercial banking, payments, lending, customer servicing, risk, compliance, and operations. Guide MVP definition, product build, launch readiness, adoption, and continuous improvement. Ensure industry products leverage shared AI platform capabilities and the 70% standardized / 30% configurable model. Support commercialization through product narratives, solution packaging, sales enablement, and strategic pursuit support. Convert market and client learning into reusable product patterns, accelerators, and roadmap recommendations. Key Responsibilities 1. Shape Industry Product Strategy Develop and refine the product strategy for AI Banking Solutions, aligned to the broader AI Solutions Platform and Service-as-Software strategy. Assess client needs, market demand, competitive trends, regulatory considerations, and industry shifts such as digital banking, embedded finance, real-time payments, AI-enabled lending, financial crime operations, risk and compliance modernization, and customer service transformation. Recommend roadmap priorities, product sequencing, business cases, and investment trade-offs for review by the Executive, AI Solutions Product Leader and senior governance forums. Define where capabilities should be standardized through the shared AI platform versus configured for industry-specific needs. Own day-to-day product leadership for the industry portfolio, from idea shaping and MVP definition through launch readiness and ongoing improvement. Define and prioritize roadmaps, epics, features, release plans, and product maturity milestones. Partner with engineering, AI/ML, architecture, cloud, security, delivery, and FDE teams to translate product priorities into executable build plans. Ensure products meet enterprise expectations for security, compliance, reliability, explainability, usability, and operational readiness. 3. Build Reusable, Platform-Led Solutions Design products using the 70% standardized / 30% configurable model to improve repeatability, scalability, speed to value, and margin potential. Ensure solutions can integrate with core banking systems, payments platforms, lending systems, risk and compliance platforms, CRM, data, workflow, and enterprise applications. Identify common client patterns that should become reusable workflows, agent capabilities, templates, data models, integrations, or platform services. Reduce bespoke delivery by working with platform, FDE, and engineering teams to industrialize repeatable assets. 4. Support Commercialization and Market Activation Support GTM, sales, client executives, industry leaders, finance, and marketing in product positioning and market activation. Contribute to packaging, pricing inputs, value propositions, sales enablement, demos, product narratives, and executive client materials. Support strategic pursuits where the industry AI product portfolio is central to the opportunity. Help connect product capabilities to pipeline creation, TCV contribution, revenue realization, and margin improvement while overall commercial ownership remains with business and sales leadership. 5. Build Cross-Functional Alignment Serve as the industry product connector across AI strategy, platform product, industry teams, FDE, product engineering, delivery, sales, finance, marketing, and client leadership. Create alignment around roadmap priorities, product standards, launch readiness, client adoption, and commercialization plans. Resolve working-level trade-offs where possible and elevate strategic decisions through appropriate executive governance. Represent the industry product portfolio in product reviews, senior leadership discussions, and strategic client conversations. 6. Track Product Performance Define and monitor product metrics such as adoption, usage, client outcomes, platform reuse, deployment repeatability, time to value, product maturity, launch readiness, pipeline influence, and stakeholder feedback. Use performance data and field learning to improve the product roadmap, support executive recommendations, and strengthen commercialization readiness. Required Qualifications 12+ years of experience in banking, financial services, FinTech, digital banking transformation, product leadership, risk and compliance, payments, lending, or enterprise solution development. 10+ years of deep domain expertise across retail banking, commercial banking, payments, lending, customer servicing, risk, compliance, and operations. Over 5 years of experience leading product strategy, roadmap development, MVP definition, launch readiness, and product lifecycle execution. Over 5 years of experience working with AI, GenAI, agentic workflows, intelligent automation, data platforms, cloud ecosystems, model lifecycle management, integration architecture, and enterprise software delivery. Over 5 years of experience working across product, engineering, architecture, delivery, sales, finance, marketing, and senior client stakeholders. Over 5 years of experience building fact-based recommendations on product strategy, roadmap trade-offs, business cases, and commercialization choices with a strong executive presence and ability to influence in a global, matrixed organization. Bachelor degree in business, technology, engineering, finance, insurance, manufacturing, supply chain, or a related field. Preferred Qualifications Experience building or scaling AI, GenAI, agentic, automation, or data platform products in banking environments. Familiarity with relevant industry platforms such as Temenos, Finastra, FIS, Fiserv, nCino, payments platforms, lending platforms, risk and compliance solutions, data platforms, or equivalent. Experience with Service-as-Software, productized services, platform businesses, or reusable solution models. Experience moving from bespoke solution delivery toward repeatable, product-led delivery models. MBA or advanced degree in business, engineering, computer science, data science, or a related field. Core Competencies Senior product leadership AI and digital innovation Platform and systems thinking Cross-functional influence Client and stakeholder leadership Success Measures Quality and maturity of the AI Banking Solutions roadmap and product business cases. Successful development of MVPs, launch-ready products, and scalable product releases. Adoption and reuse of shared AI platform capabilities. Reduction in bespoke delivery through reusable product patterns and deployment assets. Effective partnership with AI Solutions Platform Product, Forward Deployed Engineering, Product Engineering, Sales, Industry, and Delivery teams. Product readiness for commercialization and scale. Contribution to pipeline, TCV, revenue, and margin objectives through product support and execution. Confidence of senior executives and industry stakeholders in product strategy, execution discipline, and recommendations. Compensation and Benefits NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this remote role is $201,015.00-$372,250.00. This range reflects the minimum and maximum target compensation for the position across all U.S. locations. Actual compensation will depend on a number of factors, including the candidate’s work location, relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance. This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401(k) program with company match, and additional voluntary or legally-required benefits. Equal Opportunity Employer NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our Equal Employment Opportunity (EEO) Policy Statement, please visit the relevant page. For Pay Transparency information, please visit our Pay Transparency page. #J-18808-Ljbffr NTT DATA, Inc.