The Opportunity

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.

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)

1015+ 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

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Principal Engineering Program Manager

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