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AI Strategy & GTM Consultant - Insurance

Job in McKinney, Collin County, Texas, 75069, USA
Listing for: NTT America, Inc.
Full Time position
Listed on 2026-10-04
Job specializations:
  • Insurance
Salary/Wage Range or Industry Benchmark: 111000 - 212000 USD Yearly USD 111000.00 212000.00 YEAR
Job Description & How to Apply Below

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.

We are currently seeking a AI Strategy & GTM Consultant - Insurance to join our team in Plano, Texas (US-TX), United States (US).

NTT DATA is seeking an AI Consultant with Insurance experience. This position is a client-facing advisor within the AI Go-to-Market organization responsible for identifying, shaping, and mobilizing AI transformation opportunities. This role combines strategy acumen, AI fluency, structured consulting methods, and commercial orientation to help clients define AI value cases, operating models, roadmaps, and adoption approaches. The AI Consultant partners with AI Architects, Forward-Deployed Engineering, Delivery, Sellers, ecosystem partners, and Geo and Industry leaders to convert client priorities into qualified opportunities and successful engagements.

The role works closely with insurance carriers and industry stakeholders to address strategic priorities across underwriting, claims, policy administration, customer experience, distribution, risk management, and operational efficiency.

Key Responsibilities
  • Act as a trusted client advisor to identify AI transformation opportunities, business pain points, and value cases across core insurance functions, including underwriting, claims, customer service, distribution, actuarial, and operations.
  • Shape AI strategy, target operating model, governance, adoption, responsible AI, and transformation roadmaps for clients.
  • Translate client needs into practical AI solutions in partnership with architects, FDE, delivery, and partner teams.
  • Develop proposals, business cases, ROI models, proof-of-concept plans, and executive-ready client materials.
  • Support opportunity qualification, deal shaping, solutioning, mobilization, and transition into delivery.
  • Lead and support structured consulting activities, including workshops, stakeholder interviews, assessments, prioritization exercises, and roadmap development.
  • Bring a strategic lens to client conversations, connecting AI use cases to operating model change, business outcomes, adoption, and measurable enterprise value.
  • Advise insurance clients on opportunities to improve underwriting effectiveness, claims processing, fraud detection, customer engagement, agent productivity, risk assessment, and operational efficiency through AI-enabled solutions.
  • Reuse and improve global GTM assets, offering content, credentials, delivery patterns, and client-facing narratives.
  • Stay current on AI, agentic AI, enterprise adoption trends, responsible AI, insurance industry trends, regulatory considerations, and partner capabilities to strengthen client advisory quality.
Success Measures
  • Personal sales contribution or qualified pipeline contribution, as applicable by career level.
  • Utilization or billability against target.
  • Quality of client deliverables, proposal contribution, stakeholder feedback, and reuse of global GTM assets.
  • Contribution to downstream implementation opportunities and successful client mobilization.
Basic Qualifications
  • 7+ years of professional experience in consulting, professional services, strategy, transformation, AI, data, analytics, or related client-facing roles.
  • 3+ years of experience shaping or delivering AI, data science, machine learning, GenAI, agentic AI, analytics, or digital transformation initiatives in the insurance domain.
  • Experience working with property & casualty (P&C), life and annuities, group benefits, specialty insurance, reinsurance, brokers, or insurtech organizations.
  • Familiarity with insurance business processes, including underwriting, claims, policy administration, distribution, customer service, risk management, or actuarial operations.
  • Bachelor's degree or equivalent work experience.
Preferred Skills
  • Master's degree, MBA, data science degree, AI/ML certification, or equivalent practical AI experience.
  • Experience in one or more industries such as financial services, insurance, manufacturing, healthcare and life sciences, public sector, automotive, or commercial sectors.
  • Familiarity with cloud and AI platforms such as Azure, AWS, GCP, OpenAI, Anthropic, Mistral, Google/Gemini, Databricks, or Snowflake.
  • Experience engaging insurance business and technology leaders, including Chief Claims Officers, Chief Underwriting Officers, Chief Information Officers, Chief Data Officers, and Digital Transformation leaders.
  • Strong…
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