Engineering Program Manager 5

Adobe•San Jose, CA

About The Position

We are looking for a Principal Engineering Program Manager (P5) to lead complex, multi-org data and platform programs within the Adobe Unified Platform. 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.

Requirements

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

Responsibilities

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