Head Of Data & Analytics Platforms

Summary

The Head Of Data & Analytics Platforms will define, build, and operate enterprise platforms that power analytics, AI, and data products s leader owns platform strategy, governance, security, resilience, and cost optimization while enabling self-service data consumption across the organization. The role partners with technology and business leaders to accelerate AI adoption and deliver measurable business value through scalable, production‑ready data and AI platforms.

• Define and execute the enterprise data and AI platform strategy and roadmap.
• Establish and enforce platform standards for governance, security, observability, and interoperability.
• Own platform lifecycle management including provisioning, scaling, monitoring, and optimization.
• Manage vendor relationships and contracts for cloud, data platform, and AI infrastructure.
• Lead Fin Ops initiatives to optimize cloud and platform costs.
• Enable self‑service data ingestion, transformation, and consumption through automation and tooling.
• Ensure platform readiness for AI/ML workloads, model deployment, feature stores, and LLMOps integration.
• Oversee disaster recovery, business continuity, and platform performance reporting to leadership.

• Bachelor's or Master’s degree in Computer Science, Data Engineering, Information Systems, or related field.
• 12+ years of experience in data platform management, cloud architecture, or enterprise data solutions.
• Proven leadership building and scaling data and AI platforms in a global organization.
• Strong knowledge of cloud technologies (AWS, Azure, GCP), lakehouse architectures, and ML enablement.
• Expertise in data governance, security, compliance frameworks, and data quality/lineage practices.
• Experience with Fin Ops, cost optimization strategies, and platform observability.
• Excellent stakeholder management, communication skills, and ability to translate strategy into execution.