Planning and Engagement Serves as the insurance industry subject matter specialist in digital and AI transformation and account planning. Brings a multi-year strategic insurance perspective to account planning. Applies knowledge of insurance market dynamics, AI adoption, legacy modernization, rising claims costs, climate and catastrophe risk, distribution change, aging workforces, evolving customer expectations, regulatory scrutiny, and the shift from reactive risk transfer to proactive risk prevention and advisory models. Leads multi-horizon planning that connects customer outcomes, business processes, data foundations, AI capabilities, governance models, and technology investments. Helps customers define roadmaps from near-term productivity and modernization opportunities to enterprise-scale AI operating model transformation. Builds and maintains relationships with executive-level business decision makers. Identifies stakeholders, decision makers, influencers, and implementation leaders for strategic insurance transformation opportunities and engages with those leaders to make it happen. Helps teams connect business sponsors, technology leaders, risk and compliance leaders, operations executives, and partner ecosystems around a shared transformation agenda. Collaborates with account teams, rapid deployment teams, and other internal stakeholders to build and expand pipeline across the insurance industry territory. Works with account teams to translate customer priorities into opportunity strategies, solution plays, partner motions, executive alignment, and commercial execution. Collaborates with account teams, business strategy leads, business development managers, solution architects, technical specialists, industry solution teams, consulting teams, and partner organizations to plan, orchestrate, and execute customer opportunities. Maintains a perspective on how AI is transforming insurance from task-level automation to enterprise-scale operating model change. Helps customers and internal teams understand the implications of responsible AI in insurance, including transparency, explainability, human oversight, model governance, privacy, security, bias mitigation, regulatory compliance, and auditability. Advises and presents at customer, partner, and industry forums. Establishes a learning baseline for less experienced colleagues and shares industry knowledge, customer insights, and patterns that improve team capability and field execution. Demonstrated experience in insurance, financial services, management consulting, consultative selling, enterprise technology, digital transformation, data, artificial intelligence, or related business, management, or technical disciplines. A degree in technology, business, strategy, or a related field, or equivalent practical experience, is welcomed. Advanced academic qualifications in a related field, combined with demonstrated experience in customer-facing roles across insurance, financial services, management consulting, consultative selling, enterprise technology, digital transformation, data, artificial intelligence, or related business, management, or technical disciplines, are beneficial. Significant experience in consultative sales, advisory, strategy, transformation, or industry-focused roles within the insurance sector, supporting customers through enterprise technology, management consulting, professional services, systems integration, financial technology, insurance technology, or related industries. Experience working with insurance stakeholders on transformation initiatives across areas such as underwriting, claims, distribution, customer experience, policy administration, actuarial and risk analysis, compliance, life insurance, property and casualty insurance, reinsurance, brokerage, group benefits, specialty insurance, or related domains. Ability to engage business stakeholders, develop business value discussions, and connect strategic insurance priorities with technology-enabled business transformation opportunities. Working knowledge of cloud, data, artificial intelligence, automation, security, and modern application capabilities within regulated financial services and insurance environments. Demonstrated ability to collaborate across account teams, solution teams, engineering teams, partners, consulting organizations, and customer stakeholders to support complex transformation initiatives and successful delivery. Comprehensive knowledge of insurance business and technology domains, including claims, underwriting, distribution, policyholder engagement, broker productivity, actuarial analysis, risk management, regulatory requirements, core system modernization, and customer experience. Experience supporting large enterprise customers in advancing artificial intelligence initiatives from concept development to organizational adoption while delivering measurable business value. Experience creating executive narratives, industry perspectives, business cases, transformation plans, co-innovation proposals, partner engagement strategies, and strategic account plans. Familiarity with responsible artificial intelligence practices, model oversight, data governance, security, privacy, and regulatory considerations in insurance or other regulated industries. Experience working with insurance markets across Europe, the Middle East, and Africa, and familiarity with regional regulatory environments and supervisory organizations. Proficiency in a major European language relevant to the territory, such as German, is beneficial. Experience identifying opportunities to collaborate with specialized engineering teams to design, develop, and deploy enterprise-grade artificial intelligence and intelligent agent solutions with customers.