Head of Data leading Aurora’s data strategy and operations for power market analytics software. Overseeing data acquisition, engineering, and governance across teams.
Responsibilities
Own our data acquisition strategy: ensure we source, scrape, or license the right datasets to support all current and future software products
Continuously evaluate and fill gaps across market data, asset data, weather data, geospatial data, grid/nodal layers, and third-party feeds
Work with development team to build and maintain pipelines that clean, transform, validate, and enrich data to production quality standards
Ensure all datasets are stored, versioned, catalogued, and documented — with clear SLAs for updates and maintenance
Implement monitoring, observability, and automated quality checks to ensure data accuracy and timeliness
Partner deeply with Product Managers to understand the data needs of each product: Historical market data, Asset performance and metadata, Geospatial map layers (grid representation, nodal forecasts, land constraints, etc.), Simulation outputs and time-series from Aurora modelling
Ensure each product team has well-structured, well-documented, and performant access to the data they need
Work with Engineering to design efficient APIs and data services for internal and client-facing consumption
Develop high-quality data dashboards on EOS for internal and client use
Partner with UX and Dev teams to build compelling, interactive data visualisations using our new charting library
Provide guidance and templates that enable other teams to build dashboards and visualisations consistently and at speed
Work with Research teams to establish company-wide standards for data quality, naming conventions, and metadata
Maintain a comprehensive, searchable data catalog covering both internal and external datasets
Ensure data lineage, documentation, and ownership are clear and consistently maintained across teams
Champion best practices for data stewardship across engineering, product, and research
Lead and grow an existing team of data analysts across Oxford and Gurugram
Establish standards for data governance, documentation, and lifecycle management across Aurora
Act as the internal thought leader for data quality, architecture, and visualisation
Requirements
Strong experience in data engineering, data platform ownership, or leading data teams in a B2B software or analytics environment
Proven ability to build production-grade data pipelines (Python, ETL, AWS, etc.)
Deep familiarity with time-series data, geospatial data, and API-driven data delivery
Demonstrated ability to define data standards, contribution contracts, and decision boundaries in environments with uneven expertise, local variation, and decentralised ownership
Ability to translate analytical needs into robust data models and scalable data architectures
Excellence in stakeholder management and cross-functional collaboration
Strong prioritisation and systems mindset: able to simplify complex data landscapes, sequence foundational work overtime, and optimise for organisational leverage as well as feature delivery
**Desirable attributes:**
Experience with power markets, energy assets, or other complex technical domains
Familiarity with modern data visualisation frameworks and dashboarding systems
Exposure to UX-driven design principles for data communication
Experience working with outsourced scraping providers or building scraping systems in-house
Benefits
A pivotal leadership role shaping the data backbone of Aurora’s software products
Opportunity to influence product strategy and client experience at scale
High autonomy, high ownership, and the ability to build a function from the ground up
A collaborative, mission-driven environment focused on transforming the global energy transition
A fun, informal, collaborative, and international work culture
A competitive salary package
Access to regular coaching and mentoring sessions, and the opportunity to learn from experienced professionals
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