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
Requirements
15+ years in Data & AI, with a proven track record of architecting and delivering production-grade AI/ML solutions, not just advising on strategy
Deep technical foundation in AI/ML including algorithms, statistical modeling, optimization, and model lifecycle management
Hands-on experience designing scalable AI architectures across cloud platforms (AWS, GCP, Azure) and modern data ecosystems
Prior experience leading AI engineering, data science, or applied AI teams
Academic or equivalent foundation in computer science, mathematics, engineering, statistics, or related discipline
Deep understanding of model performance, risk, bias, explainability, and AI governance
Passionate advocate for AI’s transformative potential — able to energize clients and teams around what’s possible
Visible thought leadership: public speaking, publications, executive briefings, or industry representation
Ability to bridge detailed technical discussions with board-level strategic conversations
Tech Stack
AWS
Azure
Cloud
Google Cloud Platform
Benefits
Competitive salary package
Share plan
Company performance bonuses
Value-based recognition awards
Referral bonus
Career coaching
Global career opportunities
Non-linear career paths
Internal development programs for management and technical leadership