Internal Data and Workflow Development● Execute the enterprise roadmap for the internal data and application platform, aligning use case development with product and business priorities. ● Assume end-to-end responsibility for specific use-case identification, design, build and rollout. ● Scale partner-developed and experimental solutions into production-grade, internally owned systems. ● Be a part of the internal Palantir Center of Excellence covering platform engineering, access management, and user support, as well as partnership with the vendor to provide continuous feedback and understanding upcoming developments. Data Architecture, Ontology & Governance ● Implement enterprise standards for data ingestion, pipeline orchestration, semantic modeling, and interoperability across analytics systems. ● Own governance of canonical data models and ontologies, managing schema evolution while maintaining business and product alignment. ● Enforce best practices for dataset management, version control, code quality, review processes, and reproducible AI workflows. ● Design and operate a secure identity and permissions framework, including RBAC, restricted views, and enterprise identity integrations. AI Enablement, Adoption & Operational Intelligence ● Integrate data across development, production, and operational systems into a unified AI data fabric supporting real-time insights. ● Build feedback loops from deployed AI systems to track performance, reliability, and operational readiness. ● Deliver tools and data products that improve efficiency, quality, and decision-making across teams. ● Drive platform adoption through onboarding, training, documentation, and safe self-service development practices.