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NTT Data

Global IT services and consulting provider.

AI Strategy & GTM Consultant - Insurance

Strategy & Management ConsultingPosted on Nov 10
Full-timeRemote in USARemote

About the Job

Requirements

  • At least 7 years of professional experience in consulting, professional services, strategy, transformation, artificial intelligence, data, analytics, or related client-facing roles.
  • At least 3 years of experience shaping or delivering artificial intelligence, data science, machine learning, generative artificial intelligence, agentic artificial intelligence, analytics, or digital transformation initiatives in the insurance domain.
  • Experience working with property and casualty, 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.
  • A bachelor's degree or equivalent work experience.
  • Ability to travel as required for client and internal engagements.

Responsibilities

  • Act as a trusted client advisor to identify artificial intelligence transformation opportunities, business pain points, and value cases across core insurance functions, including underwriting, claims, customer service, distribution, actuarial, and operations.
  • Shape artificial intelligence strategy, target operating models, governance, adoption, responsible artificial intelligence, and transformation roadmaps for clients.
  • Translate client needs into practical artificial intelligence solutions in partnership with architects, forward-deployed engineering, delivery, and partner teams.
  • Develop proposals, business cases, return-on-investment 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.
  • Connect artificial intelligence use cases to operating model change, business outcomes, adoption, and measurable enterprise value in client conversations.
  • Advise insurance clients on opportunities to improve underwriting effectiveness, claims processing, fraud detection, customer engagement, agent productivity, risk assessment, and operational efficiency through artificial-intelligence-enabled solutions.
  • Reuse and improve global go-to-market assets, offering content, credentials, delivery patterns, and client-facing narratives.
  • Stay current on artificial intelligence, agentic artificial intelligence, enterprise adoption trends, responsible artificial intelligence, insurance industry trends, regulatory considerations, and partner capabilities to strengthen client advisory quality.

Desired Qualifications

  • A master's degree, Master of Business Administration, data science degree, artificial intelligence or machine learning certification, or equivalent practical artificial intelligence 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 artificial intelligence platforms such as Azure, Amazon Web Services, Google Cloud Platform, 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.
  • Executive communication, structured problem solving, facilitation, stakeholder management, and collaborative teaming skills.

About the Company

NTT Data

Global IT services and consulting provider.

NTT DATA is a global IT and business services provider that helps organizations run and transform their technology and operations. It delivers consulting, industry solutions, cloud migration, cybersecurity, data analytics, and managed services to modernize systems and processes. It differentiates itself through its large scale, deep sector expertise in banking, healthcare, manufacturing, public sector, and automotive, and its broad ecosystem of partners with Microsoft, SAP, AWS, and Salesforce. Its goal is to help large enterprises digitally transform and optimize operations at scale using cloud-native approaches and secure IT environments.

Company size
10,001+
Company stage
IPO
Headquarters
Tokyo, Japan
Founded
1988

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