Job description

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 Additional Details • This role is eligible for our hybrid work policy; a minimum of 3 days working in the offer per week • Must be willing and able to comply with all ENGIE ethics and safety policies; Compensation Salary Range: $176,900 – $271,170 USD annually This represents the average expected pay range for a qualified candidate. ENGIE complies with all federal, state, and local minimum wage laws. Actual salary offered may vary depending on geography, experience, education, internal pay alignment, or other bona fide factors. In addition to base pay, this position is eligible for a competitive bonus / incentive plan. Your Talent Acquisition Partner can share more specific information regarding the benefits or the salary for the position based on the work location. At ENGIE, we take your well-being seriously. Our comprehensive benefits package includes options for medical, dental, vision, life insurance, employer-paid short-term and long-term disability insurance, ESPP, generous paid time off including wellness days, holidays and leave programs. We also help you plan for retirement by offering a 401(k) Retirement Savings Plan with a company match. But that's not all – we're dedicated to the health and happiness of your entire family, offering supplemental benefits for full time employees that enhance emotional and physical well-being through all stages of life from family forming to caregiver benefits. Explore our benefits package to see how we can support you. Learn more . Why ENGIE? ENGIE North America isn’t just participating in the Zero-Carbon Transition, we’re leading it! Join us as we develop energy that is renewable, efficient, and accessible to everyone. At ENGIE, every talent has a role to play in the adventure of the century. Make a difference and enjoy a fulfilling professional experience. Take on exciting challenges and build a career path that reflects who you are. Join us and be part of the adventure! ENGIE is proud to be an equal opportunity workplace, and we are firmly committed to creating an inclusive workplace for all employees. We are committed to providing employees with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. If you need assistance with this application or a reasonable accommodation due to a disability, you may contact us at ENGIENA-ENGIEHR@engie.com. This email address is reserved for individuals with disabilities in need of assistance and is not a means of inquiry regarding positions or application status. We value internal mobility and will offer sponsorship for this role to internal candidates only. The safety of our employees is our number one priority. All employees at ENGIE have both a duty and the authority to STOP WORK if unsafe acts are observed.

Requirements

Must-haves

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.
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.
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

Nice-to-haves

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Platform: successfactors-unify
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Wellness