About the role
This Vice President role within the Group Data Office focuses on leading the development and scaling of AI-powered products across the enterprise. The position bridges technical AI capabilities with strategic product management to drive business value and digital transformation.
BankingOnsite
Key Responsibilities
- Define and execute the strategic roadmap for AI product development within the Group Data Office
- Lead cross-functional teams to identify and prioritize high-impact AI and machine learning use cases
- Oversee the full product lifecycle from initial conceptualization and prototyping to production deployment
- Manage and mentor a high-performing team of AI product managers and data specialists
- Collaborate with business unit leaders to integrate AI solutions into existing operational workflows
- Establish and monitor key performance indicators to measure the ROI and impact of AI initiatives
- Govern the ethical implementation and performance monitoring of deployed AI models
- Communicate complex technical roadmaps and product progress to executive stakeholders
- Drive a data-driven culture by evangelizing AI capabilities across the organization
Requirements
- Minimum of 10 years of experience in AI product management, data science, or technical leadership
- Proven track record of delivering successful AI/ML products at an enterprise scale
- Strong technical understanding of machine learning frameworks and large-scale data architectures
- Extensive experience in managing complex, cross-functional technical projects
- Master's degree or PhD in Computer Science, Data Science, or a related quantitative field
- Excellent strategic thinking skills with the ability to translate business needs into technical requirements
- Demonstrated ability to lead and influence senior-level stakeholders in a matrixed environment
- Familiarity with cloud-native AI services and big data ecosystems
- Strong knowledge of data governance, privacy, and security standards
- Experience within industrial technology or semiconductor sectors is highly preferred