# Senior Engineering Manager-People Analytics

**Company**: SoFi
**Location**: United States
**Experience**: senior
**Job type**: full-time
**Salary**: The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location.
**Category**: Engineering
**Industry**: Finance

**Apply**: https://job-boards.greenhouse.io/sofi/jobs/7963969003?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_be0f5bcf-aff

## Description

This role will lead the data engineering function supporting People Analytics, including AI-assisted workforce analytics on Snowflake.

Responsibilities:

- Manage and develop data engineers

- Stay hands on

- Build scalable People data foundations

- Own engineering standards

- Support AI enabled analytics

- Balance speed and rigor

Requirements:

- A bachelor's degree in Computer Science, Data Science, Engineering, or a related field.

- 7+ years in data engineering, analytics engineering, or data platform engineering.

- 5+ years managing or formally leading engineers.

- Proficiency in data engineering tech stack: Python / SQL / dbt / Airflow / Gitlab .

- Experience designing dimensional models, semantic layers, data marts, or analytical data products.

- Experience with data quality, testing, lineage, observability, and production support.

- Strong ability to translate business needs into technical architecture.

- Experience with sensitive or regulated data and access controls.

- Proven ability to coach engineers and build healthy technical culture

- Strong communication with technical and non technical stakeholders

- Proficiency in relational and cloud database platforms such as Snowflake, Redshift, or GCP.

- Thorough knowledge of data modeling, database design, data architecture principles, data operations, and CI/CD.

- Strong analytical and problem-solving abilities, with the capability to simplify complex issues into actionable plans.

Preferred Experience:

- People analytics, HR data, compensation, talent, workforce planning, or Workday experience

- Experience building AI, LLM, RAG, or natural language analytics products

- Experience with Snowflake Cortex AI, Streamlit, semantic models, or evaluation frameworks

- Experience in fintech, banking, or regulated environments

Compensation and Benefits: The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location.

## Skills

### Required
- Python
- SQL
- dbt
- Airflow
- Gitlab
- Snowflake
- data engineering
- analytics engineering
- data platform engineering
- data modeling
- database design
- data architecture
- CI/CD

### Nice to have
- People analytics
- HR data
- compensation
- talent
- workforce planning
- Workday
- AI
- LLM
- RAG
- natural language analytics
- Snowflake Cortex AI
- Streamlit
- semantic models
- evaluation frameworks
- fintech
- banking
- regulated environments

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/sofi/jobs/7963969003?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)