Frontier Industry Advisor - Insurance
Planning and Engagement Serve as the insurance industry subject matter expert for digital and AI transformation, account planning, and partner business planning. Bring a strategic insurance perspective to account planning, informed by market dynamics, AI adoption, legacy modernization, claims costs, climate risk, workforce changes, evolving customer expectations, and regulatory requirements. Lead multi-horizon planning that connects business outcomes, processes, data, AI, governance, and technology investments. Help customers develop roadmaps from near-term modernization opportunities to enterprise-scale AI transformation. Identify and engage key stakeholders, decision makers, and transformation leaders to align business, technology, risk, operations, and partner ecosystems around strategic initiatives. Apply an outcomes-first approach by starting with business objectives and aligning process, architecture, data, AI, security, governance, and change-management requirements to achieve them. Collaborate with account teams, rapid deployment teams, and internal stakeholders to build and mature pipeline opportunities. Work with account teams to align customer priorities, solution strategies, partner motions, executive sponsorship, and commercial execution. Collaborate with account teams, business strategy leaders, business development managers, solution architects, technical specialists, consulting teams, and partner organizations to plan, orchestrate, and execute customer opportunities. Coordinate with commercial, legal, compliance, engineering, and customer success teams to establish strategic partnerships and advance customer transformation initiatives. Serve as an insurance thought leader, advising customers and internal teams on industry trends, customer challenges, emerging use cases, and strategic opportunities. Provide feedback across sales, marketing, engineering, partner, solution, and product teams to inform product direction, solution development, industry messaging, and go-to-market execution. Promote responsible AI practices, including transparency, explainability, human oversight, governance, privacy, security, bias mitigation, regulatory compliance, and auditability. Share industry knowledge, customer insights, and best practices to help develop less experienced colleagues and strengthen field execution. Master's Degree in a relevant technology, business, or strategy field AND 3+ years customer-facing experience in insurance, financial services, management consulting, consultative selling, enterprise technology, digital transformation, data, AI, or industry-relevant equivalent management or technical work experience OR Bachelor's Degree in a relevant technology, business, or strategy field AND 5+ years customer-facing experience in insurance, financial services, management consulting, consultative selling, enterprise technology, digital transformation, data, AI, or industry-relevant equivalent management or technical work experience Master's Degree a relevant technology, business, or strategy field AND 7+ years customer-facing experience in insurance, financial services, management consulting, consultative selling, enterprise technology, digital transformation, data, AI, or industry-relevant equivalent management or technical work experience OR Bachelor's Degree in a relevant technology, business, or strategy field AND 10+ years customer-facing experience in insurance, financial services, management consulting, consultative selling, enterprise technology, digital transformation, data, AI, or industry-relevant equivalent management or technical work experience OR equivalent experience. 5+ years proven people management and/or leadership experience. 10+ years experience in a consultative sales, advisory, strategy, transformation, or industry leadership capacity within the insurance industry, serving insurance customers through enterprise technology, management consulting, professional services, systems integration, fintech, insurtech, or related industry roles. Deep knowledge of insurance business and technology domains, including claims, underwriting, distribution, policyholder engagement, producer and broker productivity, actuarial modeling, risk management, regulatory compliance requirements, core systems modernization, and customer experience. Experience helping large enterprise customers move AI initiatives from ideation to production-scale transformation with measurable business outcomes. Experience developing executive narratives, industry points of view, business cases, transformation roadmaps, co-innovation proposals, partner strategies, and multi-horizon account plans. Familiarity with responsible AI, model governance, data governance, security, privacy, and regulatory considerations in insurance or other regulated industries.