Principal Engineering Program Manager

Job Description

Job Description

Role: Principal Engineering Program Manager
Location: San Jose
Duration: 6 Months

We are looking for a Principal Engineering Program Manager to lead complex, multi-org data and platform programs within the Client Unified Platform team. This role requires deep expertise of the data lifecycle, data platforms, and ETL/ELT ecosystems and strong critical thinking, and the ability to drive alignment, influence decisions, and deliver measurable business outcomes at scale.

What You ll Do
" Own and lead large, complex, multi-team programs with significant business impact
" Define program strategy, operating model, and execution approach
" Foster alignment among Product, Engineering, Architecture, Data, and Business collaborators
" Establish clear program goals, success metrics, and outcome tracking mechanisms
" Oversee dependency management across multiple systems and teams
" Anticipate risks proactively and drive mitigation strategies at scale
" Influence product and technical decisions to optimize business outcomes
" Drive decision-making frameworks and reduce execution ambiguity
" Lead executive-level communication, including program updates, risks, and tradeoffs
" Optimize resource allocation and prioritization across competing initiatives
" Build and scale repeatable program management practices and governance models
" Leverage AI and data insights to improve program visibility, decision-making, and efficiency
" Mentor and guide junior Program managers(TPgM) and contribute to TPgM capability building

What You Need to Succeed
" Bachelor s degree in Computer Science, Engineering, or related field (or equivalent experience)
" 10 15 years of program management experience in cloud/data platforms or related domains
" Deep understanding of end-to-end data lifecycle, including data platforms with strong expertise in ETL/ELT systems, coordinating data management, accuracy, and traceability
" Possess working knowledge of metrics, targets, data modeling, and data governance, quality, and lineage.
" Define success metrics (north star and supporting benchmarks) and align teams on hard-working goals.
" Proven ability to define and drive outcome-based programs with measurable impact
" Advanced experience with Agile methodologies and large-scale program execution
" Proficiency with Jira, Confluence, and program reporting tools
" Strong familiarity with AI/ML concepts and AI-powered efficiency tools
" Outstanding collaborator management and executive communication skills
" Strong analytical, evaluative, and decision-making capabilities
" Demonstrated ability to influence without authority and drive alignment across org layers