Senior Vice President

The Global Head of Data Platform will spearhead the evolution and consolidation of our group-wide cloud data ecosystem, driving a fundamental shift in how data enables strategic growth and competitive advantage. This role is central to building a unified, scalable, and future-ready data platform that empowers federated data product teams to operate with agility, autonomy, and measurable impact.

As a senior executive leader, this individual will shape the long-term vision, define the transformation roadmap, and ensure strong alignment across business and technology stakeholders. The role demands both strategic foresight and hands-on leadership to translate platform capabilities into tangible business value.

Key Responsibilities

• Define and drive the enterprise-wide data platform strategy, ensuring it becomes a core enabler of innovation, operational excellence, and revenue growth.
• Lead the consolidation and modernization of legacy and fragmented platforms into a cohesive, scalable, and secure enterprise data ecosystem.
• Enable federated data product teams with a robust, developer-friendly platform that balances innovation freedom with enterprise standards, governance, and security controls.
• Align platform investments with evolving business priorities, ensuring an optimal balance between speed, scalability, compliance, and risk management.
• Build and nurture strong partnerships across engineering, architecture, data domain, and analytics teams to accelerate delivery of business-critical outcomes.
• Represent the groups data platform strategy in strategic partnerships with global technology providers, influencing innovation direction and securing competitive advantage.

Candidate Profile

• 15+ years of experience leading large-scale data and cloud transformations within complex, multi-entity enterprise environments.
• Proven track record of building and operating enterprise data platforms as scalable products, driving adoption, reducing time-to-market, and delivering measurable business outcomes.
• Strong expertise in modern data product operating models, including reusability, lifecycle management, governance standards, and value measurement.
• Deep hands-on experience with GCP and BigQuery-centric architectures, including:
• Platform Capabilities:
• Data ingestion (ELT/ETL, CDC, streaming)
• Workflow orchestration
• Cloud storage and compute layers
• Serving and consumption enablement
• Trust & Governance:
• Security and privacy frameworks
• Policy-driven access control
• Metadata management and lineage tracking
• Data quality monitoring and enforcement
• Observability & Reliability:
• Monitoring, alerting, SLIs/SLOs
• Incident management and root-cause analysis
• Continuous improvement frameworks
• Data Products & Marketplace Enablement:
• Product lifecycle management
• Ownership and documentation standards
• Discoverability and self-service access
• Reusability and internal marketplace design
• Operational Excellence:
• Reliability engineering practices
• Automation and CI/CD pipelines
• Release and change management
• Capacity planning and FinOps governance
• Strong executive communication and stakeholder management skills, with the ability to influence senior leaders and align diverse teams around a shared vision.
• Deep understanding of governance, compliance, and regulatory landscapes, with experience designing frameworks that balance trust, risk mitigation, and innovation speed.
• Telecom industry experience is advantageous, particularly in high-scale, privacy-sensitive, and mission-critical environments.