Data & AI Consulting Director

NTT DATA Services•Plano, TX

1d•$201,015 - $372,250•Remote

About The Position

NTT DATA is seeking a Senior Director, AI Automotive and Manufacturing Solutions Product Leader to shape, build, and scale a portfolio of AI-powered Service-as-Software solutions for the automotive and manufacturing 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 a senior product leadership role focused on moving from bespoke services to reusable, platform-led AI products.

Requirements

12+ years of experience in automotive, manufacturing, supply chain, product engineering, Industry 4.0, connected mobility, or enterprise solution development.
10+ years of deep domain expertise across vehicle engineering and development, manufacturing operations, supply chain and planning, quality and compliance, connected vehicle platforms, aftermarket services, and service operations.
Over 5 years of 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 to build fact-based recommendations on product strategy, roadmap trade-offs, business cases, and commercialization choices.
Bachelor degree in business, technology, engineering, finance, insurance, manufacturing, supply chain, or a related field.

Nice To Haves

Experience building or scaling AI, GenAI, agentic, automation, or data platform products in automotive and manufacturing environments.
Familiarity with relevant industry platforms such as SAP S/4HANA, Siemens Teamcenter or Opcenter, PTC Windchill or ThingWorx, Dassault Systemes 3DEXPERIENCE, Oracle SCM, Kinaxis, Blue Yonder, AUTOSAR, connected vehicle or telematics 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.

Responsibilities

Shape the product strategy and roadmap for AI Automotive and Manufacturing Solutions.
Identify high-value use cases across vehicle engineering and development, manufacturing operations, supply chain and planning, quality and compliance, connected vehicle platforms, aftermarket services, and service 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.
Develop and refine the product strategy for AI Automotive and Manufacturing 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 software-defined vehicles, electrification, smart factory, supply chain resilience, quality automation, connected mobility, and aftermarket 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.
Design products using the 70% standardized / 30% configurable model to improve repeatability, scalability, speed to value, and margin potential.
Ensure solutions can integrate with MES, PLM, ERP, supply chain platforms, shop floor systems, connected vehicle platforms, edge systems, 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.
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.
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 escalate strategic decisions through appropriate executive governance.
Represent the industry product portfolio in product reviews, senior leadership discussions, and strategic client conversations.
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.