Data Solutions, Staff Manager IT Management

## Data Solutions, Staff Manager San Diego, California, United States of America Apply Now Find out how well you match with this jobJob :
3097227##
** Company:
** Qualcomm Incorporated##
** Job Area:
** Information Technology Group, Information Technology Group  IT Management
** General

Summary:

**** Staff Manager – Data Solutions
** will play a pivotal role in shaping the future of our enterprise data and analytics capabilities as part of a strategic and critical
** Enterprise Data Transformation (EDT)
** program. This role requires a visionary, hands‐on leader to drive the buildout of a modern, enterprise‐wide
** Lakehouse platform**, ensuring reliability, scalability, security, and compliance, while enabling
** cutting‐edge BI, AI‐driven analytics, and data‐powered applications**.  This role will lead a high‐performing team spanning
** data engineering, BI enablement, AI/advanced analytics, and application‐integrated data solutions**, fostering a culture of engineering excellence, innovation, and operational rigor. The role will collaborate closely with cross‐functional teams (solution engineers, SMEs, application teams, and business stakeholders) to align
** data platforms, analytics, AI, and application development
** with business objectives.  This role requires full‐time onsite work in San Diego, CA**(5 days per week)**.
*
* Minimum Qualifications:

*
* • 8+ years of IT-related work experience with a Bachelor's degree.
OR   10+ years of IT-related work experience without a Bachelor’s degree.

• 5+ years of supervisory or leadership experience.

* Completed advanced degrees in a relevant field may be substituted for up to two years (Master’s = one year, Doctorate = two years) of the general IT-related work experience.
** Key Responsibilities*
* ** Vision and Strategy
*** Define and lead the
** vision, strategy, and roadmap
** for enterprise data team, including
** Lakehouse, data warehouses, BI platforms, governance, data quality, observability, and semantic layers**.
* Position data platforms as a
** strategic enabler for BI self‐service, AI/GenAI, and data‐driven applications**, aligned with business and technology roadmaps.
** Data Engineering
*** Lead core
** Data Engineering teams
** responsible for building
** reusable, scalable data pipeline frameworks
** from ingestion through
** analytics‐ and AI‐ready datasets**.
* Support diverse data patterns including
** batch, streaming, and micro‐batch processing**, with built‐in governance and security.
* Drive migration from
** legacy data warehouses to a modern Lakehouse hub**, embracing
** GenAI, automation, and low‐code/no‐code approaches
** to accelerate development velocity.
** BI, Analytics & Self‐Service Enablement
*** Establish and lead
** BI and Analytics Centers of Excellence (CoEs)**, enabling governed self‐service analytics through
** semantic layers, certified KPIs, dashboards, and reporting solutions**.
* Partner with business stakeholders to drive analytics adoption, from
** ideation through production and scale**, using modern cloud BI and AI‐augmented analytics tools.
** AI & Advanced Analytics Enablement
*** Enable
** AI/ML and GenAI use cases
** across analytics and applications, including natural‐language querying, predictive insights, and intelligent automation.
* Collaborate with data science, BI, and application teams to integrate
** AI outputs into dashboards, workflows, and business applications
** responsibly and at scale.
** Application & Data Product Enablement
*** Collaborate with application development teams to embed
** data services, analytics, and AI capabilities
** into enterprise applications.
* Enable
** data products, APIs, and integration patterns
** that support operational and analytical use cases across the enterprise.
**…