Req ID: 379229 

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Senior Director, AI Insurance Solutions Product Leader to join our team in Plano, Texas (US-TX), United States (US).

Position Summary

We are seeking a Senior Director, AI Insurance Solutions Product Leader to shape, build, and scale a portfolio of AI-powered Service-as-Software solutions for the insurance 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

1. Shape the product strategy and roadmap for AI Insurance Solutions.
2. Identify high-value use cases across Life, Annuities, and Property & Casualty insurance, including underwriting, claims, policy administration, servicing, distribution, risk, and compliance.
3. Guide MVP definition, product build, launch readiness, adoption, and continuous improvement.
4. Ensure industry products leverage shared AI platform capabilities and the 70% standardized / 30% configurable model.
5. Support commercialization through product narratives, solution packaging, sales enablement, and strategic pursuit support.
6. 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 Insurance 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 AI-assisted underwriting, claims automation, policy servicing, agent and advisor enablement, risk analysis, compliance support, and customer service modernization.
• 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.

2. Lead Product Execution

• 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 policy administration, claims, underwriting, distribution, 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 escalate 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 full-time professional experience in insurance, InsurTech, product leadership, digital transformation, or enterprise solution development, with documented roles and tenure.

  Demonstrated experience across all three lines of business (Life, Annuities, and P&C) and hands-on involvement in at least 2+ functional areas (e.g., underwriting, claims, policy administration, distribution, risk, compliance).

  Proven ownership of 2+ end-to-end product lifecycles, including strategy, roadmap (multi-quarter), MVP definition, and production launch, with measurable outcomes (e.g., product releases, revenue contribution, or user adoption metrics).

  Delivery of 1+ enterprise-scale initiatives involving AI/GenAI, intelligent automation, data platforms, or cloud technologies, including implementation, integration, or model lifecycle management.

  Experience leading cross-functional efforts across at least 5 business areas (e.g., product, engineering, sales, finance, marketing) and regular engagement with Director-level or above stakeholders in matrixed or global organizations.

Preferred Qualifications

• Experience building or scaling AI, GenAI, agentic, automation, or data platform products in insurance environments.
• Familiarity with relevant industry platforms such as Guidewire, Duck Creek, Majesco, Vitech, EIS, insurance data platforms, workflow 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
• Insurance domain expertise
• AI and digital innovation
• Product portfolio management
• Platform and systems thinking
• Commercialization support
• Strategic recommendation development
• Cross-functional influence
• Market-backed prioritization
• Execution discipline
• Client and stakeholder leadership

Success Measures

• Quality and maturity of the AI Insurance 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.

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 US locations. Actual compensation will depend on a number of factors, including the candidate’s actual 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 401k program with company match, and additional voluntary or legally-required benefits.

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

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