About the role

Lead design and planning for Planet Mark's carbon data framework transformation, enabling high-quality carbon reporting and analytics. Collaborate with Product and Engineering to implement data solutions effectively.

Responsibilities

Design and implement a single, unified carbon data framework as a “single source of truth” across submissions, processing, and analytics
Ensure audit-ready design with clear evidence trails, version control, and reproducible calculations aligned to key standards (e.g. SBTi, GHG Protocol, ISO 14064-3)
Establish strong data governance including quality standards, automated validation checks, and defined ownership for issue resolution
Enable scalable and efficient data processing by standardising intake, triage, and workflows, reducing reliance on spreadsheets and operational risk
Develop structured taxonomies and boundaries, including Scope 1, 2, and 3 definitions, activity data types, and reporting rules
Define input data requirements (“data contracts”) including mandatory fields, validation criteria, acceptable evidence, and submission timelines
Build and maintain a canonical data model with standard entities, relationships, and naming conventions
Create and document calculation methodologies, including emission factor selection, fallback rules, and reporting standards
Implement metadata, data lineage, and versioning practices, including a managed emission factor library and framework updates
Establish data quality, controls, and audit processes, including assurance readiness, evidence management, and retention/reporting policies

Proven experience designing and managing data frameworks, governance structures, and data quality controls in regulated or assurance-led environments
Strong understanding of corporate carbon accounting, including Scopes 1, 2, and 3, and familiarity with standards such as the GHG Protocol (ISO 14064-3 knowledge is a plus)
Experience building audit-ready data processes, including data lineage, versioning, reproducibility, and evidence management
Ability to translate complex standards and methodologies into clear, practical rules, templates, and workflows
Excellent stakeholder management skills with experience collaborating cross-functionally (Product, Engineering, Analytics, and commercial/client teams)
Strong decision-making ability, with experience prioritising effectively and managing trade-offs
Highly analytical mindset with the ability to interpret complex data and methodologies
Clear and confident communicator, able to explain assumptions, uncertainty, and technical concepts to non-specialists