Endava
Technology is our how. And people are our why.
Global SVP, Data & AI – Banking & Financial Services/Technology/Media/Telecom
Location
Oregon
Posted
2 days ago
Salary
Not specified
Postgraduate Degree15 yrs expEnglishAWSAzureCloudGoogle Cloud PlatformPythonScala
Job Description
• 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.
• Work across sectors while bringing depth in Banking & Financial Services OR TMT.
Job 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.
- Demonstrated fluency in programming languages such as Python, Scala, or similar, and familiarity with ML frameworks and data engineering stacks.
- 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.
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, and celebrations.