> Markdown version of [/jobs/ext/4566310-senior-analytics-ai-engineer](https://www.wearedevelopers.com/jobs/ext/4566310-senior-analytics-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior Analytics & AI Engineer

- **Company:** PROVN INC
- **Location:** Boston, MA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $113,100.0 - $173,700.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Code Review, Information Engineering, Data Visualization, Github, Python (Programming Language), Mixpanel, SQL Databases, Large Language Models, Snowflake, Model Validation, Backend, Git, Claude, Hubspot
- **Published:** November 4, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-analytics-ai-engineer-boston-ma--c86d95a3-ef3d-40fc-824b-22b3eecf8225

## About the Role

Artificial Intelligence (AI), Artificial Intelligence (AI), Nonprofit, Willing to Travel, Reporting Dashboards, Data Visualization, Documentation, Model Review, Mentoring, Code Reviews, * Five or more years building dashboards or data products that non-technical people rely on, with examples to show.

 * At least one AI feature you shipped to real users, such as a retrieval tool, an agent or an LLM-backed workflow, and a clear account of how you tested it.
 * Fluent SQL. You read and write dbt models (or similar) and review pull requests in Git.
 * A knack for explaining data to people who are not specialists, and commitment to the communities our partners serve.

Also a must-have: enough pipeline engineering

 * When a nightly sync fails, you find the failed step and either fix it or hand our partner a clear ticket the same day., * Backend data engineering, for example from full-stack work at a small firm. We welcome it but do not require it.
 * Snowflake, Omni, Mixpanel, Census, Python, or analytics embedded for customers.
 * Nonprofit or public-sector work, or experience with consent rules for personal data.

## Description

You will be the first technical teammate to join our Chief AI & Data Officer (CAIDO). An implementation partner is building our new data platform this winter. You will turn it into dashboards our staff and partners use every week and into AI tools our field can trust. Most of your time goes to building, with dashboards first and AI products close behind. You will also learn the platform well enough to keep it healthy after the handover., * Dashboards and data visualization (about 40%). Build and maintain Omni dashboards for staff and partner organizations, and agree what each number means before you chart it.

 * AI products (about 30%). Build features on Claude, run evaluation sets, review outputs with program staff, and ship improvements safely.
 * Analytics engineering and platform care (about 20%). Write and review dbt models, watch nightly loads, manage access, run approved syncs into HubSpot, and keep documentation current.
 * Working with people (about 10%). Mentor our Claude Corps Fellows and review their code. Help colleagues and partners understand what the data shows.

How we work

We are a small team where one person drives each decision and one person approves it. Our implementation partner builds the core platform and hands it to us. We check consent inside our data models, and nobody is on call overnight. Our tools: Fivetran, Snowflake, dbt Core, Omni, Mixpanel, Census, Claude, GitHub and HubSpot (similar experience counts).

Physical and work environment requirements

 * Physical Requirements: High frequency of viewing a computer monitor, typing on a computer keyboard, checking mobile devices for communications. Requires travel of 25% for work.
 * Every team member will have an opportunity to set up their home or work office space to be a motivating and work/life friendly environment.