Data Solutions Staff Manager

Qualcomm

Confirmed live today High trust

Quick summary

Work type
On-site
Location
San Diego, CA
Salary
$177,500–$266,300 / yr
Posted
11 days ago
Freshness
Confirmed live today
Closes
Mar 29, 2027

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $193k
This role $222k
$142k $280k
below market most similar roles pay here above market

This role pays more than 75% of similar roles. Most pay $165,000–$221,250 — the blue band above. At the midpoint, this role pays about $222k versus about $193k for comparable roles.

Based on 240 similar postings.

Employer

About Qualcomm

Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.

Qualcomm currently has 558 open roles on FindRole.

Listed pay typically runs $152,130–$222,500 across 534 roles with salary data.

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View all roles at Qualcomm

At a glance

TL;DR · Data Solutions Staff Manager

The Data Solutions, Staff Manager leads a high-performing team within the Information Technology Group to drive the Enterprise Data Transformation program. This role involves building a modern, enterprise-wide Lakehouse platform to support BI, AI-driven analytics, and data-powered applications. You will lead data engineering teams in developing scalable pipeline frameworks for batch and streaming processing while migrating legacy warehouses to a modern hub. Key responsibilities include establishing BI Centers of Excellence, enabling GenAI use cases, and embedding data services into enterprise applications. You must possess hands-on expertise with AWS, Databricks, Fivetran, Collibra, Acceldata, and cloud-based BI tools like Tableau Cloud or ThoughtSpot. The role requires managing data modeling, governance, and observability to solve complex data reliability and scalability problems across the organization.

What you'll do

  • Define and lead the vision, strategy, and roadmap for enterprise data platforms, including Lakehouse and BI systems.
  • Lead data engineering teams to build scalable data pipeline frameworks for batch and streaming processing.
  • Drive the migration of legacy data warehouses to a modern Lakehouse hub using GenAI and automation.
  • Establish and lead BI and Analytics Centers of Excellence to enable governed self-service analytics.
  • Enable AI/ML and GenAI use cases by integrating predictive insights into dashboards and business applications.
  • Collaborate with application development teams to embed data services and APIs into enterprise applications.
  • Provide hands-on guidance in architecture, technical design, troubleshooting, and delivery to accelerate outcomes.
  • Implement modern engineering practices and observability to support 24x7 data operations.

What we're looking for

  • Must have 15+ years of IT experience in Data, Analytics, BI, AI, or Application Development with a Bachelor's degree.
  • Must have 7+ years of people and delivery leadership experience managing technical teams.
  • Must have 3+ years of experience working with senior leadership on data platform modernization and AI operations.
  • Must have strong hands-on experience with AWS and Databricks-based data platforms.
  • Must have solid hands-on experience in Data Engineering, Data Modeling, BI/Analytics enablement, and AI-ready data solutions.
  • Must have strong hands-on expertise with Lakehouse Medallion architecture, data engineering, operations, and governance.
  • Must have proven implementation experience with platforms such as Fivetran, Collibra, Acceldata, and cloud-based BI or GenAI solutions.
  • Experience with machine learning, artificial intelligence, and predictive analytics is a plus (preferred).

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