• Serve as a senior executive advisor to client C-suite and technology leaders on AI-driven transformation, grounded in real-world delivery experience • Lead strategic conversations on AI/ML architecture, platform modernization, model lifecycle management, governance, risk, and responsible AI • Move beyond vision-setting — help clients define how AI systems will be architected, operationalized, scaled, and governed in complex enterprise environments • Provide credible guidance on algorithmic design, model performance, data strategy, explainability, and AI risk management • Partner with Client Partners, GTM, and Delivery leaders to originate, shape, and scale Data & AI engagements across North America • Translate executive AI strategy discussions into structured, commercially viable programs and delivery roadmaps • Identify high-value AI use cases aligned to measurable business outcomes (revenue growth, risk reduction, operational efficiency) • Actively contribute to revenue growth, pipeline expansion, and strategic account development • Represent Endava’s Data & AI point of view in executive briefings, industry forums, conferences, and client workshops • Inspire confidence and excitement about the potential of AI through compelling storytelling grounded in practical experience • Contribute to whitepapers, strategic insights, and public-facing content that elevate Endava’s brand in AI • Work across sectors while bringing depth in Banking & Financial Services OR TMT • Ensure Endava clients benefit from leading-edge approaches informed by hands-on expertise • Engage confidently with C-level executives, engineering leaders, data scientists, and product teams • Model Endava’s values of partnership, curiosity, and integrity while building long-term trusted relationships • Bring deep industry expertise in either Banking, Payments, Capital Markets, or Financial Services: fraud detection, credit risk modeling, AML, regulatory compliance, hyper-personalization, operational automation • Technology, Media, and Telco (TMT): intelligent network optimization, predictive maintenance, customer analytics, content personalization, AI-enabled platforms, monetization models, and digital ecosystem transformation