ESG AI Project Manager

LTC Intelligence Group Limited; London; On-site; GBP 55,000 - 80,000; Full time

Job summary

A leading ESG consultancy in London seeks an ESG AI Project Manager to lead the development of their AI-driven ESG intelligence platform. The ideal candidate will have a Bachelor’s or Master’s degree in a relevant field and 3–7 years of experience in managing complex projects in the ESG or AI domains. Responsibilities include project execution, stakeholder communication, and ensuring alignment with global regulatory standards. The role offers a competitive salary and a mission-aligned work environment.

Benefits

Competitive salary

Access to leading sustainability experts

Personal development budget

Equity options

Qualifications

• 3–7 years of experience managing complex projects across ESG and/or AI/data.
• Familiarity with AI concepts such as NLP and predictive analytics.
• PMP or Agile/Scrum certification is a plus.

Responsibilities

• Lead end-to-end delivery of ESG AI projects.
• Collaborate with teams to ensure timely delivery.
• Oversee sourcing and structuring of ESG data.
• Serve as a liaison between business and technical teams.

Skills

ESG frameworks knowledge

Data science expertise

Project management

Excellent communication

Education

Bachelor’s or Master’s degree in Sustainability or related fields

Tools

Python

SQL

JIRA

Notion

Asana

Job description

Position Overview:

We are looking for a mission-driven and technically-savvy ESG AI Project Manager to lead and coordinate the development of our next-generation ESG intelligence platform powered by artificial intelligence. This role bridges sustainability expertise with data science and AI product management to deliver high-impact solutions that empower investors, corporates, academias and regulators to make better ESG decisions.

Key Responsibilities:

Project Ownership & Execution
• Lead end-to-end delivery of ESG AI projects, from scoping and prototyping to deployment and scaling.
• Define clear project roadmaps, milestones, and resource plans in collaboration with engineering, data science, and ESG teams.
• Ensure timely delivery and alignment with business objectives, stakeholder needs, and ESG standards.

ESG Content Integration:
• Translate ESG frameworks (e.g. GRI, TCFD, SFDR, ISSB, UN PRI) into data models and AI-relevant parameters.
• Oversee sourcing, cleansing, and structuring of ESG data (structured/unstructured, public/private sources).
• Collaborate with ESG subject-matter experts to validate materiality and impact metrics.

AI & Data Collaboration:
• Work closely with AI teams to develop models for ESG scoring, sentiment analysis, risk alerts, etc.
• Define model requirements and interpretability needs from an ESG stakeholder perspective.
• Ensure ethical and responsible AI practices in ESG data usage and model deployment.

Stakeholder Communication:
• Serve as the primary liaison between business, ESG, AI/tech, and external partners.
• Facilitate agile ceremonies, sprints, demos, and retrospectives.
• Communicate project progress and insights to senior leadership, investors, or regulators.

Compliance & Impact Assessment
• Ensure AI-driven ESG solutions align with current and emerging global regulatory expectations.
• Drive performance evaluation and continuous improvement of ESG AI outputs.

Qualifications & Experience:
• Bachelor’s or Master’s degree in Sustainability, Environmental Science, Data Science, AI, Engineering, or related fields.
• 3–7 years of experience managing complex projects across ESG and/or AI/data domains.
• Strong understanding of ESG frameworks, sustainability trends, and responsible investment practices.
• Familiarity with AI concepts (e.g., NLP, predictive analytics, LLMs, ESG sentiment modeling).
• Hands-on experience with tools such as Python, SQL, or project platforms like JIRA, Notion, or Asana.
• Excellent communication skills and the ability to work cross-functionally with both technical and non-technical stakeholders.
• PMP, Agile/Scrum certification or experience in AI product development is a strong plus.

Qualifications & Experience:
• Bachelor’s or Master’s degree in Sustainability, Environmental Science, Data Science, AI, Engineering, or related fields.
• 3–7 years of experience managing complex projects across ESG and/or AI/data domains.
• Strong understanding of ESG frameworks, sustainability trends, and responsible investment practices.
• Familiarity with AI concepts (e.g., NLP, predictive analytics, LLMs, ESG sentiment modelling).
• Hands-on experience with tools such as Python, SQL, or project platforms like JIRA, Notion, or Asana.
• Excellent communication skills and the ability to work cross-functionally with both technical and non-technical stakeholders.
• PMP, Agile/Scrum certification or experience in AI product development is a strong plus.

What We Offer:
• A unique opportunity to shape the future of ESG through cutting-edge AI solutions.
• A fast-paced, innovative, and mission-aligned work environment.
• Access to leading sustainability and technology experts.
• Competitive salary, equity options, and personal development budget.