Manager, Data Engineering & Automation
Listed on 2026-02-28
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IT/Tech
Data Engineer, Data Science Manager, Cloud Computing, IT Project Manager
This role sits within Business Process Operations and reports into Finance Technology leadership, partnering closely with the Chief Accounting Officer (CAO) organization, Finance partners, and adjacent data and platform teams.
You will lead a team that builds automated, data-driven, and intelligent solutions that power critical Finance processes. Your work directly enables confident decision-making, operational rigor, and scalable execution across Finance!
You are a hands‑on people leader who manages and grows data engineers responsible for ETL, robotic process automation, AI and large language model solutions, analytics engineering, and internal applications. You ensure teams deliver production‑grade solutions with consistency, quality, and clear ownership.
You are a player‑coach with the technical depth to challenge designs and architectures and the leadership focus to set direction, develop talent, and own outcomes. Success is measured by adoption, reliability, and real business impact.
Key Responsibilities People LeadershipLead, coach, and develop engineers across data engineering, automation, and application development.
Set clear expectations for ownership, engineering quality, and operational rigor.
Grow engineers who can independently deliver durable workflows, services, and automations.
Foster a culture of accountability, learning, and continuous improvement.
Ensure teams are effective within scrum frameworks, focusing on flow, predictability, and delivery quality.
Partner with Scrum Masters to support planning, reviews, and retrospectives.
Remove blockers across people, process, and technology.
Drive delivery of data, automation, and intelligence solutions for the CAO organization and Finance partners.
Serve as a technical leader for CAO and Finance partners, validating and constructively challenging requirements.
Translate business intent into sound technical designs.
Ensure solutions are trusted, adopted, and embedded into operational workflows.
Balance near‑term delivery with long‑term scalability and maintainability.
Ensure acceptance criteria, testing strategies, and release readiness are met.
Own post‑delivery stability, issue remediation, and continuous improvement.
Promote reuse, standardization, and practices that protect production environments.
8‑12+ years of experience in data engineering, automation, analytics engineering, or software development, including 3‑5+ years leading people.
Technical fluency across modern data and automation stacks including SQL, Databricks, Snowflake, APIs, ETL/ELT, RPA, AI/LLM technologies, and internal applications.
Experience leading teams delivering production‑grade pipelines, automations, and services.
Ability to review and challenge technical designs without needing to build everything personally.
Proven success partnering with Finance and executive team members.
Strong judgment, clear communication, and the ability to influence without authority.
Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry‑leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and Gen Studio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
Let’sAdobe together
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