Senior Manager, Data & Analytics Platform

Adobe • San Jose, CA

3d

About The Position

Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! About the Role The Adobe Experience Platform (AEP) Product Success Engineering (PSE) team is seeking a Senior Manager, Data & Analytics Platform Engineering to lead the design, development, and reliability of a cloud-native data platform that powers product adoption insights, customer retention analytics, system monitoring, and operational intelligence. You will own the data platform layer that enables Data Scientists, Analytics Engineers, and BI teams to build scalable, reliable analytics and ML solutions. Partnering closely with the Director of Data Science & Engineering, you’ll translate analytics and ML requirements into robust platform capabilities operating at enterprise scale.

Requirements

• Masters degree in Computer Science or related field
• 10+ years in software/data engineering, including 5+ years in senior engineering leadership
• Deep expertise in large-scale data platforms, pipelines, and cloud data warehouses
• Strong experience with cloud platforms (AWS, GCP, or Azure), infrastructure-as-code, and DevOps practices
• Proven ability to lead cross-functional initiatives and communicate with technical and non-technical stakeholders
• Experience with real-time analytics, streaming platforms, and MLOps
• Familiarity with modern data stack tools (dbt, Great Expectations)

Responsibilities

• Define and execute the technical strategy and roadmap for data & analytics platform capabilities
• Lead a team of Data Platform Engineers (8–15+) and foster a culture of technical excellence and operational rigor
• Architect and operate scalable data pipelines, cloud data warehouses, orchestration frameworks, and governance systems
• Enable batch, real-time, and event-driven analytics and ML workflows
• Establish best practices for data quality, governance, reliability, performance, and cost optimization
• Partner cross-functionally with Data Science, Product, Business Operations, and Cloud Infrastructure teams

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Number of Employees: 5,001-10,000 employees