Senior Manager- Data Engineering

Overview

Adtalem is a data-driven organization dedicated to driving best-in-class student outcomes. The Data Engineering team builds the foundation that powers analytics, AI, and strategic business decisions through robust data platforms, pipelines, and governance policies.

• Lead the design, implementation, and optimization of data pipelines, datasets, and metrics critical to business decisions.
• Build, mentor, and inspire a high-performing data engineering team.
• Define strategies for data acquisition, collection, and utilization across the organization.
• Establish and manage SLAs for all production datasets and processes.
• Collaborate closely with Product Managers, Analysts, and Data Scientists to develop and maintain data-driven systems.
• Develop self-service reporting and democratization layers to empower teams with data.
• Troubleshoot, code, test, and document solutions to ensure quality and reliability.
• Evaluate current processes to optimize interdepartmental communication, collaboration, and end-to-end process performance.
• Define technology roadmaps and manage incremental execution to achieve short- and long-term business goals.
• Serve as a key leader within the Data and Analytics organization, fostering a data-driven culture.
• Comply with company policies and standards while performing additional duties as needed.
• Travel up to 5% as required.

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Software Engineering, or related technical field.
• Eight (8) or more years in data engineering (data platforms, ingestion, management, or analytics).
• Three (3) or more years in leadership roles building and managing high-performing teams.
• 2+ years of experience with Google Cloud Platform services such as Big Query, Composer, GCS, Data Stream, and Dataflows.
• Proven track record of progressive responsibility starting as a Data Engineer, advancing to higher levels of complexity and ownership.
• Strong analytical skills with the ability to develop and reverse complex engineering solutions.
• Excellent oral, written, and presentation skills, translating complex technical material for management and stakeholders.
• Experience defining roadmaps, managing incremental execution, and delivering successful launches.
• Ability to manage multiple, competing priorities in an Agile, fast-paced environment.
• Experience mentoring and growing data engineers.
• Critical thinking, advanced problem-solving, and a proactive approach to improving processes.

In support of the pay transparency laws enacted across the country, the expected salary range for this position is between $96,404.10 and $. Actual pay will be adjusted based on job-related factors permitted by law, such as experience and training; geographic location; licensure and certifications; market factors; departmental budgets; and responsibility. Our Talent Acquisition Team will be happy to answer any questions you may have, and we look forward to learning more about your salary requirements.

The position qualifies for the below benefits.

• Health, dental, vision, life and disability insurance
• 401k Retirement Program + 6% employer match
• Participation in Adtalem’s Flexible Time Off (FTO) Policy
• 12 Paid Holidays

For more information related to our benefits please visit:

You are also eligible to participate in an annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Equal Opportunity – Minority / Female / Disability / V / Gender Identity / Sexual Orientation