We are currently seeking a
Executive, AI Solutions Product Leader - REMOTE to join our team in
Plano, Texas (US-TX), United States (US).Role OverviewNTT DATA is building AI Service-as-Software as a new product-led growth engine and one of the company's key strategic bets. We are seeking an
Executive, AI Solutions Product Leader to stand up dedicated executive product leadership for the AI Solutions Platform, three industry-focused AI products, and shared platform capabilities.
This role will shape and execute the AI Service-as-Software product agenda, directly driving a strategic bet in partnership with NTT DATA AI Vista. The leader will translate AI strategy into a scalable, repeatable product portfolio with clear roadmaps, strong product maturity, improved platform reuse, commercialization-ready offerings, and disciplined product operating practices.
This is not a traditional Product Owner or consulting delivery role. It is an executive product leadership role focused on moving NTT DATA from bespoke AI services toward repeatable, platform-led AI Native growth.
What You Will Lead- AI Solutions Platform product strategy and roadmap, including reusable horizontal capabilities across industries.
- Three industry-focused AI products, led by Senior Director-level Product Owners, with shared product standards and operating discipline.
- Shared platform capabilities such as agent orchestration, knowledge grounding, workflow automation, data integration, model management, governance, and enterprise integration.
- Product packaging and commercialization support, working closely with AI Vista, AI Market Makers, global industry teams, regional sales, and AI delivery.
- A lean, high-impact product organization in a product job family that is new to NTT DATA and requires scarce AI product, industry, and platform leadership capabilities.
Key ResponsibilitiesShape Product Portfolio Strategy- Define and refine the product strategy for the AI Solutions Platform and three industry-focused AI products.
- Translate the AI Service-as-Software ambition into a clear portfolio roadmap, product maturity milestones, and execution priorities.
- Recommend portfolio sequencing, business cases, and investment priorities for executive review.
- Assess client needs, market demand, AI platform trends, competitive dynamics, regulatory considerations, and commercial relevance to inform product direction.
- Translate the AI Service-as-Software ambition into a clear portfolio roadmap, product maturity milestones, and execution priorities.
- Recommend portfolio sequencing, business cases, and investment priorities for executive review.
- Assess client needs, market demand, AI platform trends, competitive dynamics, regulatory considerations, and commercial relevance to inform product direction.
Lead Product Leaders- Lead, coach, and develop Senior Director-level Product Owners responsible for industry products and shared platform capabilities.
- Set expectations for product strategy, discovery, roadmap quality, execution discipline, stakeholder alignment, and product performance.
- Build a consistent product operating model across the portfolio, including governance rhythms, roadmap standards, product reviews, metrics, and escalation paths.
- Develop product leadership capability in a job family that is strategically important and not historically common at NTT DATA.
Guide Platform Product Execution- Guide the roadmap and execution of the horizontal AI Solutions Platform in partnership with Product Engineering, AI/ML, architecture, cloud, security, and delivery teams.
- Define reusable platform capabilities that can be leveraged across industries and client environments.
- Promote a 70% standardized / 30% configurable model to improve repeatability, scalability, deployment speed, and margin potential.
- Ensure products are designed for enterprise-grade security, reliability, usability, compliance, operational readiness, and integration into client environments.
Support Commercialization and Growth- Improve product-led commercialization through packaging inputs, pricing inputs, sales enablement, product narratives, demos, and executive client positioning.
- Support strategic pursuits where AI Service-as-Software products are central to the opportunity.
- Partner with AI Vista, AI Market Makers, global industry leaders, regional sales, finance, marketing, delivery, and product engineering stakeholders.
- Help directly drive the $125M current-year AI Service-as-Software strategic bet while sales targets, delivery revenue ownership, and client delivery accountability remain with business, sales, and delivery leadership.
Convert Market Learning into Product Reuse- Work with Forward Deployed Engineering, delivery teams, industry leaders, sales teams, and strategic clients to identify repeatable AI use cases.
- Determine which client-specific patterns should be recommended for productization as shared capabilities, templates, accelerators, or platform services.
- Ensure field insights and client adoption data inform roadmap updates, platform improvements, launch readiness, and industry product evolution.
Required Qualifications- 15+ years of experience in enterprise product leadership, AI platforms, digital platforms, enterprise software, productized services, or cross-industry solution development.
- Experience leading senior product leaders or cross-functional product teams in complex, matrixed environments.
- Proven ability to shape and scale product portfolios, platform capabilities, or enterprise solution offerings.
- Strong understanding of AI, GenAI, agentic workflows, enterprise data platforms, cloud ecosystems, model lifecycle management, integration architecture, and enterprise software delivery.
- Experience working across product, engineering, architecture, sales, delivery, finance, marketing, and senior executive stakeholders.
- Ability to build fact-based recommendations on product strategy, investment priorities, roadmap trade-offs, and commercialization choices.
- Strong executive presence and ability to influence across a global organization.
- Experience supporting commercialization, sales enablement, strategic pursuits, and client-facing product positioning.
Preferred Qualifications- Experience building or scaling AI, GenAI, agentic, automation, or data platform products.
- Experience in a global systems integration, consulting, enterprise technology, SaaS, cloud, or platform business.
- Experience with Service-as-Software, productized services, or platform-led delivery models.
- Experience moving from bespoke solution delivery toward reusable, repeatable product models.
- MBA or advanced degree in business, engineering, computer science, data science, or related field.
Core Competencies- Executive Product leadership
- Product portfolio management
- AI platform strategy
- Platform and systems thinking
- Commerical support
- Cross-functional influence
- Market-backed prioritization
- Product operating model design
- Client and industry insight
- Execution discipline
- Strategic recommendation development
- Global stakeholder management
Success Measures- Progress in scaling the AI Solutions Platform and three industry-focused AI products.
- Quality and maturity of product roadmaps, business cases, launch readiness, and investment recommendations.
- Adoption and reuse of shared platform capabilities across industry products and client environments.
- Reduction in bespoke delivery through repeatable product and platform patterns.
- Commercialization readiness, including demos, product narratives, packaging inputs, sales enablement, and strategic pursuit support.
- Strength of alignment across AI Solutions Product, Product Engineering, Forward Deployed Engineering, AI Vista, AI Market Makers, industry, sales, and delivery teams.
- Effectiveness of the senior product leaders reporting into the role.
Why Join UsThis is an opportunity to establish executive product leadership for a new AI Service-as-Software growth model at NTT DATA. You will lead a high-caliber product organization, shape a $125M current-year strategic bet expected to grow to $800M+ in three years, and help turn AI capabilities into repeatable, scalable, platform-led offerings for global clients.
You will not simply manage a product backlog. You will build the product discipline, operating model, and portfolio needed to scale AI Native products across industries.
