Applied AI Strategy & Automation Lead

ClimateWorks Foundation; United States; Hybrid; USD 120,000 - 130,000; Full time

Benefits offered by this job

100% healthcare coverage

PTO 20 days + 14 holidays

401(k) matching

Life & disability insurance

Job summary

ClimateWorks Foundation seeks an Applied AI Analyst to lead the AI and automation capability behind its philanthropic funding analytics. You will set technical direction for AI deployment, partner with A&I and IS&T, and build scalable AI-assisted workflows that transform grant tagging, classification, and data synthesis.

The role requires hands-on ML/NLP expertise, strong Python programming, and the ability to translate complex data into actionable insights for funders and partners.

Qualifications

• Advanced degree or equivalent experience in data analysis, analytics, AI, or similar technical role.
• Hands-on experience with large language models and AI APIs to build automations, NLP tools, or AI workflows.
• Strong programming skills in Python with data wrangling, transformation, and pipelines.
• Experience with ML concepts and tools; NLP experience is a plus.
• Track record of delivering AI/automation solutions to business problems.

Responsibilities

• Own AI and automation agenda for the philanthropic data work, setting priorities and standards.
• Evaluate tools and platforms; drive adoption via documentation and training.
• Build AI-assisted workflows and LLM-powered tooling; automate data processing and tagging.
• Collaborate with A&I and IS&T to align technical direction with roadmaps and partners.
• Produce clear data visualizations and communicate insights to non-technical stakeholders.

Skills

Python

Data wrangling

Machine learning

NLP

Data visualization

Stakeholder communication

Project management

Education

BS/BA in data science, CS, or related field

MS/MA in data science, ML, or related field

Tools

Python

Tableau/Power BI

AI APIs & LLMs

SQL

Job description

ClimateWorks Foundation seeks an Applied AI Analyst to lead the AI and automation capability behind its philanthropic funding analytics. You will set technical direction for AI deployment, partner with A&I and IS&T, and build scalable AI-assisted workflows that transform grant tagging, classification, and data synthesis.

The role requires hands-on ML/NLP expertise, strong Python programming, and the ability to translate complex data into actionable insights for funders and partners.