Endava

Global SVP, Data & AI – Banking & Financial Services, Technology/Media/Telecom

Endava

full-time

Posted on:

Location Type: Remote

Location: Oregon • United States

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Job Level

Lead

Tech Stack

AWSAzureCloudGoogle Cloud Platform

About the role

  • 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
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
  • Complex projects
  • Rotations
  • Internal tech communities
  • Training
  • Certifications
  • Coaching
  • Online learning platforms subscriptions
  • Pass-it-on sessions
  • Workshops
  • Conferences
  • Hybrid work and flexible working hours
  • Employee assistance program
  • Global internal wellbeing program
  • Access to wellbeing apps
  • Global internal tech communities
  • Hobby clubs and interest groups
  • Inclusion and diversity programs
  • Events
  • Celebrations
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
AIMLalgorithmic designmodel performancedata strategyexplainabilityAI risk managementstatistical modelingoptimizationmodel lifecycle management
Soft Skills
strategic conversationsstorytellingpartnershipcuriosityintegrityclient engagementthought leadershipteam energizingrelationship buildingcommunication