AI and Data Analytics

Job Title: Part-Time Head of AI and Data Analytics (Impact Measurement & AI for Social Good)

Location: Remote/Hybrid

Commitment: Depends on project

Compensation: contract or equity-based, depends on experience.

About Us

The Good Climate Governance Project is an innovative impact measurement startup firm that leverages data-driven insights and AI-powered methodologies to empower organizations to achieve sustainable and equitable change.

We are seeking a highly skilled Head of AI and Data Analytics to lead the development and execution of our AI and data strategy. This role is crucial in leveraging data-driven insights to enhance decision-making, optimize operations, and drive innovation. The ideal candidate is a strategic thinker with hands-on expertise in AI, machine learning, and analytics, capable of aligning data initiatives with our long-term business objectives.

We are seeking someone who can have or do the following:

• Strategic Leadership: Develop and implement a data and AI roadmap that aligns with the company’s strategic goals.
• AI & Data Strategy: Identify opportunities for AI-driven solutions, predictive analytics, and automation to enhance business performance.
• Data Infrastructure: Oversee the design and implementation of scalable data architecture and pipelines.
• Analytics & Insights: Generate actionable insights from data to inform business strategies and enhance customer experiences.
• Compliance & Ethics: Ensure adherence to data privacy regulations, ethical AI practices, and industry standards.
• Collaboration: Work cross-functionally with product, engineering, and executive teams to integrate AI and analytics into key business functions.
• Innovation & Trends: Stay ahead of emerging AI and data trends to keep the company at the cutting edge of technology.

You have:

• Proven experience in AI, machine learning, and data analytics leadership roles.
• Strong understanding of data architecture, cloud computing, and big data technologies.
• Experience in developing and executing AI strategies aligned with business objectives.
• Knowledge of data governance, security, and regulatory requirements.
• Excellent problem-solving, communication, and leadership skills.

To be more specific you must have:

• A strong background in AI for data-driven decision-making, predictive analytics, and ability to be responsible for AI practices.
• Must have expertise in Impact Measurement & AI for Social Good – Experience in environmental, social, and governance (ESG) metrics, sustainability data, or impact assessment.
• Must be able to develop AI models that drive measurable impact while ensuring ethical AI use.
• Proficiency in AI & Data Science – Strong in machine learning, predictive modeling, and natural language processing (NLP) to analyze sustainability reports, regulatory data, and global climate trends.
• Strong Data Engineering Skills – Ability to build scalable data pipelines, clean datasets, and manage cloud-based AI infrastructure (AWS, GCP, or Azure).
• Ethical AI & Governance Knowledge – Understanding of AI transparency, bias mitigation, and compliance with global data regulations (GDPR, AI Act, etc.).
• A Lean & Agile Mindset – Comfortable working in a small, agile team, developing cost-effective AI solutions that align with GCG objectives.
• Hands-on Development Experience – Proficient in Python, SQL, and AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, etc.), with experience in automating reporting and impact analytics.

Why Join?

• Opportunity to shape and lead the AI and data analytics vision in a growing company.
• Flexible, part-time role with high strategic impact.
• Work in a dynamic and innovative environment within a forward-thinking leadership team.
• Potential for growth into a full-time role as the company scales.
• Fight climate change.

How to Apply

Interested candidates should submit their resume and a brief cover letter outlining their experience and vision for AI in our industry to info@climategovern.org.

• We are an equal opportunity employer and value diversity in our team.