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Sr. Manager- Data Engineering

Sr. Manager- Data Engineering

Adtalem Global EducationLisle, IL, US
27 days ago
Job type
  • Full-time
Job description

Job Description

Job Description

Company Description

About Adtalem Global Education

Adtalem Global Education is a national leader in post-secondary education and leading provider of professional talent to the healthcare industry. Adtalem educates and empowers students with the knowledge and skills to become leaders in their communities and make a lasting impact on public health, well-being and beyond. Through equitable access to education, environments that nurture student success, and a focus on expanding and diversifying the talent pipeline in healthcare, Adtalem is building a brighter future for communities and the world.

Adtalem is the parent organization of American University of the Caribbean School of Medicine, Chamberlain University, Ross University School of Medicine, Ross University School of Veterinary Medicine and Walden University.

We operate on a hybrid schedule with four in-office days per week (Monday–Thursday). This approach enhances creativity, innovation, communication, and relationship-building, fostering a dynamic and collaborative work environment.

Visit Adtalem.com for more information, and follow on Twitter and LinkedIn!

Job Description

Opportunity at a Glance

Adtalem is a data driven organization. The Data Engineering team builds data solutions that powers strategic and tactical business decisions and supports the Analytics and Artificial Intelligence operations. By implementing data platform, data pipelines and data governance policies this team provides the basis for decision-making in Adtalem. Adtalem is looking for a Senior Manager, Data Engineering who will lead overall technical design, development, modification, and implementation of data solutions using existing and emerging technology platforms. This person will own the development as well as the continual improvement of the data platform for an organization that has the goal to drive best in class student outcomes in the industry.

Responsibilities

  • You'll design and build trusted, reliable and timely datasets, metrics and data pipelines that are critical to the direction of the company
  • Build and lead a high-performing data engineering team in a hands-on technical capacity
  • Be responsible for shaping how we acquire, collect and leverage data
  • You will define and manage SLA's for all data sets and processes running in production
  • Work closely with Product Managers, Analysts, Data Scientists to develop and own data-driven systems
  • Develop data democratization layer for self-served reporting
  • Assist development team in troubleshooting, coding, testing, implementation, and documenting solutions
  • Support, grow, mentor and inspire new and existing team members
  • Be a key leader of the Data and Analytics team, working to propel the business towards being more data-driven
  • Performs other duties as assigned
  • Complies with all policies and standards

Qualifications

  • Bachelor's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field
  • Master's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field Computer Science, Computer Engineering, Software Engineering, or other related technical field
  • 8+ years experience in data engineering solutions such as data platforms, data ingestion, data management, or publication / analytics
  • 3+ years
  • leadership experience
  • building and managing a high performing teams.
  • 2+ years experience in Google Cloud with services like BigQuery, Composer, GCS, DataStream, Dataflows
  • Progressively responsible experience starting as Data Engineer and advancement in complexity, and level of responsibility
  • Must be highly analytical having the proven ability to develop and reverse complex engineering solutions. Critical thinking and advanced problem-solving skills are core behaviors among the team
  • Excellent oral / written communication and presentation skills which bring clarity and precision to help management understand and visualize complex material to support organizational decision-making.
  • Experience in objectively evaluating current processes for opportunities to optimize inter departmental communication, collaboration, and end-to-end process performance
  • Have proven experience defining a roadmap and managing incremental execution through successful launches.
  • Ability to manage multiple, competing priorities
  • Must thrive in an Agile, fast-paced, constantly changing environment
  • Provide mentorship to data engineers
  • Developed technology target state, roadmaps that aligned to Short- and Long-term business goals.
  • TRAVEL REQUIREMENTS - Up to 5%
  • Additional Information

    In support of the pay transparency laws enacted across the country, the expected salary range for this position is between $96404.1 and $169021.85. 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.

    Adtalem offers a robust suite of benefits including :

  • 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 : https : / / careers.adtalem.com / benefits.

    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

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