Qualcomm
Data Solutions, Staff Manager
$178K–$266K
San Diego, California · On-site · Staff · Full-time · Posted Sep 30, 2026
- Experience
- 15+ years of IT experience with a Bachelor’s degree; 7+ years of people and delivery leadership; 3+ years working with senior leadership. The posting also states 15+ years in data-related fields with 7+ years leading data modernization and DW/Lakehouse migrations; it lists alternative general IT experience thresholds elsewhere.
- Education
- Bachelor’s degree; the posting lists alternative experience thresholds without a Bachelor’s degree.
About the job
Leads Qualcomm’s enterprise data transformation by building and operating a modern Lakehouse platform and enabling BI, AI, analytics, and data-powered applications.
What you'll do
- Set the enterprise data strategy and roadmap, including Lakehouse, data governance, BI, data quality, and observability.
- Lead data engineering, BI, AI/advanced analytics, and application-integrated data teams; provide hands-on guidance from architecture through delivery.
- Modernize data platforms and enable governed self-service analytics, AI/GenAI use cases, and data products across enterprise applications.
What they ask for
- 15+ years of IT experience in Data, Analytics, BI, AI, or Application Development with a Bachelor’s degree.
- 7+ years of people and delivery leadership experience managing technical teams.
- 3+ years working with senior leadership to lead modernization of data platforms, BI, analytics, AI, and operations.
- Hands-on experience with AWS and Databricks-based data platforms, plus data engineering, data modeling, BI/analytics enablement, and AI-ready data solutions.
Nice to have
- Experience with machine learning, artificial intelligence, and predictive analytics.
- Experience with platforms such as Fivetran, Collibra, Acceldata, ThoughtSpot, and Tableau Cloud.
Pay
$177,500.00 - $266,300.00 USD base salary
Tools
AWS, Databricks, Fivetran, Collibra, Acceldata, ThoughtSpot, Tableau Cloud, Lakehouse Medallion architecture
AI focus
Enables AI/ML and GenAI use cases, including natural-language querying, predictive insights, intelligent automation, AI-augmented analytics, and GenAI-enabled agentic co-development.
Model-written summary · the original posting is authoritative