Head of Data Platform

3 days ago
Houston, TX, United States Engie Full-time
What You Can Expect

You are a senior engineering leader responsible for building and operating the enterprise-grade data and AI platform that underpins ENGIE Energy Marketing North America (EEMNA)'s trading, risk, and operational systems.

As the Head of Data Platform, you own the end-to-end data platform stack-including ingestion, storage, processing, access, and AI enablement-and operate it as a core shared service across all functional teams, supporting Trading Systems, Risk, Analytics, Quant, and Engineering/Infrastructure platforms.

You serve as a Functional Team Lead (FTL) with accountability for multiple Tier-0 services, directly impacting revenue, risk management, and operational resilience.

You drive enterprise-wide change and adoption by aligning teams and increasing platform usage across historically siloed organizations. Adoption-not delivery alone-is your defining measure of success.

You operate in an engineering-first, platform-product role-not a reporting, BI, or data ownership function. Business domains retain ownership of their data, and you enable them through a high-performance, secure, and governed platform.

In this role, you will:

  • Own the design, delivery, and operation of the EEMNA enterprise data platform, including real-time and batch ingestion, lakehouse architecture, and enterprise data access
  • Ensure Tier-0 reliability, scalability, performance, and production-grade operational standards across all platform services
  • Build and operate the AI/ML and Generative AI platform, including model lifecycle infrastructure, feature stores, and AI-ready data environments
  • Deploy production-grade AI and agentic solutions to enhance trading and risk decision-making, improve model explainability, and automate key workflows
  • Lead AI governance and Center of Excellence initiatives, establishing policies, controls, and frameworks for safe and scalable AI adoption
  • Own platform security and data entitlements, including access controls, IAM integration, and protection of critical trading and operational data
  • Operate the data platform as a product by delivering self-service capabilities, standardizing tooling and APIs, and improving developer experience
  • Lead the Datastone transformation program by consolidating fragmented tooling and aligning with ENGIE enterprise architecture standards
  • Own end-to-end accountability for Tier-0 services, including SLOs/SLAs, resilience, and operational discipline
  • Partner across Trading, Risk, Analytics, Quant, and Engineering teams to enable standardized platform usage and reduce siloed solutions
  • Drive enterprise-wide platform adoption by aligning stakeholders, retiring duplicative systems, and establishing a clear technical direction
  • Lead and develop a high-performing data platform organization, including managing senior leaders and building top-tier engineering talent

What You'll Bring
  • Bachelor's degree in Computer Science, Engineering, Information Technology, Management Information Systems, or a related field
  • Minimum of 15 years of experience in data platform engineering, distributed systems, or infrastructure
  • Proven experience building and operating large-scale, cloud-native, mission-critical data platforms
  • Strong expertise in data pipelines (real-time and batch), lakehouse and data warehouse architectures, and multi-cloud environments (AWS, Azure)
  • Demonstrated experience operating production-critical systems with strict reliability, availability, and performance requirements
  • Proven track record of delivering measurable platform outcomes, including improvements in data availability, system reliability, and time-to-deliver data capabilities
  • Experience building and scaling AI/ML-enabled platforms or enabling AI-driven workflows in production environments
  • Demonstrated leadership experience managing high-performing engineering teams, including senior leaders, in complex environments
  • Ability to operate at both strategic and hands-on levels, balancing long-term platform vision with near-term execution
  • Proven ability to drive cross-functional alignment and adoption across trading, risk, operations, and engineering teams
  • Strong ownership and accountability, with the ability to define direction, make decisions, and sustain momentum in a highly matrixed environment

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