Description
qa/qc
ai mapping
logic testing
workflow design
team lead
compliance
You’ll help design and test agentic-AI and RAG-based ecological workflows, enabling ecologists to build, validate, and improve logic flows through intuitive UI-based tools. You’ll oversee multiple project pods, mentor Associate Ecologists, and collaborate closely with Product, GIS, and Data Science teams to deliver scalable, high-impact environmental insights.
- Collaborate with GIS, Remote Sensing, and Product teams to validate ecological and AI-driven outputs.
- Define and implement QA/QC frameworks for habitat mapping and classification.
- Lead and manage a team of ecologists and analysts delivering habitat mapping, BNG assessments, and QA/QC across multiple client projects.
- Work with Data Science and Product teams to evolve AI-assisted and agentic mapping pipelines.
- Contribute to performance management, competency development, and role progression within the Ecolab team.
- Coach and mentor Associate Ecologists on ecological mapping, data validation, and logic-based tool usage.
- Serve as the key technical and managerial point of contact for ecological deliverables.
- Continuously improve SOPs, methodologies, and internal ecology training programs.
- Coordinate with Project Management, Product, and Engineering to ensure timely, high-quality delivery.
- Ensure outputs adhere to UK BNG, DEFRA, and Natural England guidance, as well as regional biodiversity frameworks.
- Introduce structured processes for testing and validating logic flows within our UI-based ecological toolchain.
- Provide domain expertise during client reviews, audits, and scientific validations.
Requirements
qgis
arcgis
ukhab
defra
master’s
8+ years
We are looking for an experienced Manager – Nature and Ecology to lead a growing team of ecologists working on large-scale habitat mapping and biodiversity monitoring projects across multiple clients in the UK, EU, and other regions.
This role goes beyond traditional ecology management — it sits at the intersection of ecology, AI, and technology. You will combine ecological expertise, spatial data interpretation, and a strong technology orientation to drive the evolution of AiDash’s AI-assisted mapping workflows.
- Strong familiarity with GIS tools (QGIS, ArcGIS) and remote-sensing interpretation.
- Tech-savvy mindset — ability to conceptualize ecological workflows, build and test logic flows, and collaborate with AI/engineering teams to refine agentic systems.
- Proven exposure to at least two geographies (e.g., UK, EU, US, or others).
- Master’s or equivalent degree in Ecology, Environmental Science, Forestry, Botany, Zoology, or a related field.
- 8+ years of experience in applied ecology, habitat mapping, or biodiversity monitoring.
- Deep understanding of UKHab, DEFRA metric, and BNG workflows.
- Excellent leadership, coaching, and communication skills.
Benefits
Mentorship & Capability Building
We are committed to providing an inclusive and accessible interview experience for all candidates. Please let us know if you require any accommodation during the interview process, and we will make every effort to meet your needs.
Training + Development
Information not given or found
