Principal Engineering Program Manager
We are looking for a Principal Engineering Program Manager to lead complex, multi-org data and platform programs within the Adobe 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. Duration: Long-term Contract Location: San Jose, CA (Hybrid)
Primary Skills:
- Program Management: 10+ years
- Data Platforms: 5+ years
- ETL/ ELT Expertise: 5+ years
- Data Governance & Metrics: 5+ years
- Cloud Platform Program: 5+ years
- Agile Delivery: 5+ years
Secondary Skills: AL/ ML Knowledge: 5+ years
What Youll 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:
- Bachelors 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.
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