VP of Data & AI Strategy leading innovative AI - driven payment product designs. Championing AI design thinking and facilitating collaboration across Mastercard's diverse product teams.
About the role
- Lead discovery sessions with enterprise clients to uncover opportunities and map AI to business needs.
- Design and validate end-to-end AI and automation architectures, ensuring scalability, resilience, and security.
- Own technical & operational service responses for proposals, RFPs, and pitches, ensuring clarity and credibility.
- Deliver engaging demonstrations and presentations that showcase ROI and competitive advantage.
- Act as an AI authority during sales cycles, influencing deal strategy and client positioning.
- Partner with Solution Engineers on proofs-of-concept and demos under time-sensitive conditions.
- Provide customer and market insights to inform Sabio’s product and proposition roadmap.
- Mentor junior and associate colleagues, building capability across the Presales team.
Requirements
- Expert-level knowledge of Conversational AI, Generative AI, Agentic AI, and automation frameworks.
- Deep understanding of CCaaS/contact centre operations and digital CX transformation.
- Awareness of security, compliance, and integration considerations in enterprise deployments.
- Commercial and financial awareness, including ROI modelling and TCO analysis.
- Strong understanding of competitive landscape in AI/CX.
- Proven ability to translate complex architectures and organisational challenges into clear, measurable business outcomes.
- Confidence engaging with senior stakeholders, including C-level executives.
- Strong influencing and negotiation skills within competitive sales cycles.
- Ability to balance technical depth with commercial positioning.
- Leadership skills to guide junior team members, drive AI enablement through thei immediate Specialist team, and collaborate across functions.
- Resilience and adaptability in fast-moving, high-pressure environments.
- Significant experience in Presales, Solutions Consulting, or Technical Architecture.
- Proven track record in delivering AI-enabled CX transformation projects.
- Bachelor’s or Master’s degree in Computer Science, AI, Engineering, or related discipline. (preferred)
- Advanced cloud certifications (AWS Solutions Architect, Azure AI Engineer Associate, GCP AI/ML Engineer).
- Vendor-specific CX/CCaaS certifications (Genesys Cloud, Amazon Connect).
- Specialist AI/ML certifications (TensorFlow, Hugging Face, OpenAI, or equivalent)
Benefits
- This is your chance to join and friendly and passionate team that will motivate you to learn and develop your career in the company.******Benefits may include:******Pension Scheme**Remote/Flexible work**Life insurance**Health Insurance**25 days paid holiday a year**LinkedIn Learning**Plus many more! (Benefits are dependant on your base location.)
Job title
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