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About the Role

Own EDF Trading's enterprise data strategy and the capabilities required to provide trusted, governed, and readily usable data. The role leads data product management, market data systems, core data engineering, plus data governance and quality, turning data into a managed enterprise asset while enabling analytics, advanced modelling, and AI at scale.

Responsibilities

Define and execute the enterprise data strategy, target architecture, operating model, and multi-year roadmap in alignment with business and technology strategy.
Lead data product management, market data systems, core data engineering, and data governance and quality as an integrated enterprise capability.
Establish accountable ownership for critical data domains, datasets, and data products, with clear quality requirements, service expectations, and lifecycle plans.
Prioritize investment and delivery across ingestion, streaming, APIs, warehousing, reporting, and advanced analytics capabilities.
Ensure metadata, lineage, data quality controls, access controls, retention, privacy, and control evidence are embedded into platforms and delivery practices.
Build strong partnerships across trading, operations, risk, finance, and corporate functions to convert business needs into reusable data products rather than one-off pipelines.
Own the market data capability, including distribution, entitlements, vendor strategy, usage transparency, cost management, and resilience.
Provide governed enablement for data science and AI, including trusted training data, reproducibility, model lifecycle dependencies, and responsible-use controls.
Set measures for data reliability, quality, adoption, delivery flow, platform performance, cost, and value realization.
Develop senior leaders and specialist teams, balancing central standards with federated domain accountability and avoiding duplicated data engineering.

Requirements

Substantial leadership experience across enterprise data, data engineering, data governance, analytics, or data product management in a complex organization.
Demonstrable delivery of enterprise-scale data platforms and operating models, ideally in energy trading, commodities, or financial services.
Experience managing critical market, trade, reference, risk, finance, or regulatory data with demanding quality, timeliness, and control requirements.
Track record of building multidisciplinary teams and leading material change across technology and business functions.
Experience of vendor and commercial management for data platforms, cloud services, and market data providers.
Strong executive-level communication, investment governance, and benefits management experience.
Deep understanding of modern data architecture, including event streaming, Kafka, APIs, batch ingestion, lakehouse patterns, data warehousing, and real-time distribution.
Strong knowledge of data engineering practices using SQL and relevant programming languages, storage design, performance optimization, testing, deployment, and observability.
Practical expertise in metadata management, lineage, data quality, master and reference data, ownership models, access governance, and control assurance.
Understanding of analytics, reporting, machine learning, and AI lifecycles, including data preparation, feature provenance, monitoring, and governance.
Knowledge of cloud and hybrid architecture, cybersecurity, privacy, resilience, cost management, and enterprise integration.
Enterprise thinker who treats data as a product and a controlled asset, not simply a technology platform.
Able to challenge local optimization and drive reuse, standardization, and clear ownership across organizational boundaries.
Commercially aware, evidence-led, and comfortable making investment and prioritization decisions.
Strong communicator who can translate between executives, data specialists, engineers, and control functions.
Collaborative across business domains and able to create shared ownership of data outcomes.
Inclusive leader who develops talent and builds a culture of quality and accountability.

Skills

Data Strategy
Data Product Management
Market Data Systems
Data Engineering
Data Governance
Data Quality
Analytics
Advanced Modelling
AI
Event Streaming
Kafka
APIs
Batch Ingestion
Lakehouse Patterns
Data Warehousing
Real-time Distribution
SQL
Programming Languages
Storage Design
Performance Optimization
Testing
Deployment
Observability
Metadata Management
Lineage
Master Data Management
Reference Data Management
Access Governance
Control Assurance
Machine Learning
Cloud Architecture
Hybrid Architecture
Cybersecurity
Privacy
Resilience
Cost Management
Enterprise Integration
Communication
Leadership
Commercial Management
Vendor Management

Location

London
Paris
Singapore
Houston

Work Type

Hybrid Working

Experience Level

Substantial leadership experience
Experience managing critical market, trade, reference, risk, finance or regulatory data
Track record of building multidisciplinary teams
Experience of vendor and commercial management
Strong executive-level communication, investment governance and benefits management experience

Benefits

Hybrid working (location dependent)
Personal pension plan
Private medical and dental insurance
Bi-annual health assessments
Corporate gym memberships
Electric car lease programme
Childcare vouchers
Cycle-to-work scheme
Season ticket loans
Volunteering opportunities

About the Company

EDF Trading is part of the EDF Group - a world leader in low-carbon, sustainable electricity generation.
Energy markets evolve rapidly, so our team needs to remain agile, flexible, and ready to spot opportunities across all the markets we trade in power, gas, LNG, LPG, oil, and environmental products.
EDF Group and our customers all over the world trust that their assets are managed by us in the most effective and efficient manner and are protected through expert risk management.
Trading for over 20 years, it’s experience that makes us leaders in the field.
Energy is what we do.

Equal Opportunity

Gender balance and inclusion are very high on the agenda at EDF Trading, so you will become part of an ever-diversifying family of around 750 colleagues based in London, Paris, Singapore, and Houston.