below marketmost similar roles pay hereabove market
This role pays more than
62%
of similar roles. Most pay
$166,912–$219,481
— the blue band above.
At the midpoint, this role pays about
$212k
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
575 open roles
on FindRole.
Listed pay typically runs
$147,900–$221,900
across 550 roles with salary data.
The IT Program Manager, Staff - Enterprise Data Transformation will lead the planning and execution of a multi-year initiative to establish the Enterprise Data Hub as a unified foundation for analytics and applications. Reporting to the Office of Planning & Delivery, you will coordinate cross-functional workstreams including data strategy, architecture, migration, and governance. You will build integrated roadmaps, manage budgets, and direct delivery across internal teams and software providers. Key responsibilities involve overseeing Databricks platform development, lakehouse architecture, and data engineering while ensuring alignment with CRM, ERP, and supply chain systems. You will utilize skills in data modeling, CI/CD, and DataOps to migrate legacy assets. This role solves the complex business problem of creating a scalable, governed data ecosystem to support advanced technology solutions and enterprise-wide reporting.
Lead the full lifecycle of a global enterprise data transformation from strategy and business case through platform development and operationalization.
Build and maintain an integrated, outcome-based transformation roadmap covering data architecture, Databricks capabilities, governance, and legacy retirement.
Establish the program governance model, including decision rights, workstream structures, delivery methodologies, and executive reporting cadences.
Coordinate Databricks platform strategy, including lakehouse architecture, ingestion pipelines, performance management, and platform operations.
Drive enterprise data architecture decisions regarding common data models, metadata, lineage, data contracts, and secure access.
Ensure data governance is embedded throughout the transformation, including ownership, quality certification, privacy, and regulatory compliance.
Lead the migration of data assets, pipelines, and analytical workloads from legacy systems to the Enterprise Data Hub.
Manage interdependencies across platform, security, and infrastructure workstreams while overseeing budgets, schedules, and vendor performance.
What we're looking for
Bachelor’s degree in Information Technology, Information Systems, Computer Science, Data Science, Engineering, Business, or a related field.
8+ years of program or project management experience leading large, complex, global technology or business transformation programs.
Demonstrated experience leading a significant enterprise data platform, data modernization, analytics, cloud, or related transformation through multiple lifecycle phases.
Program leadership experience with modern cloud data platforms such as Databricks, data lakehouse architectures, data engineering, and business intelligence.
Experience coordinating work across data platform, architecture, engineering, governance, security, analytics, integration, testing, deployment, operations, and organizational change teams.
Strong understanding of enterprise data-management disciplines including data architecture, modeling, ingestion, quality, metadata, lineage, governance, and security.
Experience integrating data from major enterprise applications such as CRM, HCM, ERP, PLM, finance, supply chain, and other systems of record.
Experience managing multi-million-dollar budgets, business cases, systems integrators, software vendors, contracts, and geographically distributed teams.
NIST
RMF
CMMC
FedRAMP
Agile
Program Management
Change Management
Roadmap Management
Governance
Business Process Transformation
Data-driven Decision Making