AI & Workforce Intelligence Lead

Salesforce

Seattle (WA)

On-site

USD 143,000 - 217,000

Full time

20 hours ago
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Job summary

Salesforce is seeking a Senior Manager of AI & Workforce Intelligence within the Trust & Infrastructure Operations team. You will design, build, and automate intelligent systems that give leaders real-time visibility into headcount, hiring pipelines, and organizational health across a 5,000+ person engineering org.

You will integrate data from Workday and other sources, create self-sustaining automation pipelines, and deliver dashboards that are self-service and near real-time.

Qualifications

  • 8+ years of experience in data engineering, BI, or workforce analytics.
  • 3+ years building automated data pipelines integrating multiple data sources.
  • Proficient with modern BI dashboards including Tableau/Looker.
  • Strong programming in Python/SQL for production automation.
  • Experience applying AI/ML to business problems.
  • Experience with HRIS systems like Workday.
  • Excellent communication with non-technical stakeholders.
  • Ability to work in ambiguity and greenfield projects.

Responsibilities

  • Design and build an end-to-end automated data pipeline ingesting data from multiple sources.
  • Create self-healing automated processes to detect data drift and anomalies.
  • Own the full lifecycle of headcount data from requisition through backfill and attrition.

Skills

Data engineering
Business intelligence
Python
SQL
AI/ML
Headcount management
Stakeholder communication

Education

Bachelor's degree in Computer Science/Data Science or related field

Tools

Tableau
Looker
Google Apps Script
Airflow

Job description

Salesforce is seeking a Senior Manager of AI & Workforce Intelligence within the Trust & Infrastructure Operations team. You will design, build, and automate intelligent systems that give leaders real-time visibility into headcount, hiring pipelines, and organizational health across a 5,000+ person engineering org.

You will integrate data from Workday and other sources, create self-sustaining automation pipelines, and deliver dashboards that are self-service and near real-time.

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