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Manager Data Engineering

Manager Data Engineering

Ascend LearningGilbert, AZ, US
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Job Details

Description

We Impact Lives Through Purpose-Driven Work in A People First Culture

Ascend Learning is the connection between a powerful portfolio of brands serving students, educators, and employers with outcomes-based, data driven solutions across the lifecycle of learning.

Our values-driven culture unifies our teams and inspires a mindset of action, innovation, and collaboration, with a relentless focus on customers.

We're always looking for talented, passionate professionals to join us in our mission to help change lives. If this sounds like an environment where you'd thrive, read on to learn more.

For over 35 years, National Academy of Sports Medicine® (NASM®) has set the standard in fitness education with best-in-class evidence-based programs. We have educated over 1.4 million fitness professionals in over 100 countries, creating a global space for optimal well-being and fitness. From personal training to nutrition coaching, wellness to sports performance, NASM trainers and specialists work at every level to help all clients set and reach their own unique goals.

WHAT YOU'LL DO

We are seeking a strategic and hands-on Senior Manager of IT – Data Warehousing & Analytics to lead the design, development, and operation of our enterprise data platform. This role will be responsible for overseeing the implementation of a modern data warehouse using Snowflake and medallion architecture principles, with Tableau as the primary front-end reporting tool. The position is critical in establishing a scalable, governed data foundation to support business intelligence today—and enable advanced analytics and AI initiatives in the future.

WHERE YOU’LL WORK

  • This position will work a hybrid schedule from our Gilbert, AZ location

HOW YOU’LL SPEND YOUR TIME

  • Lead the architecture, design, and development of the enterprise data warehouse platform on Snowflake using medallion architecture (Bronze / Silver / Gold layers).
  • Oversee data ingestion, transformation, and modeling pipelines to ensure data accuracy, scalability, and performance across the business.
  • Manage a team of data engineers, BI developers, and analysts responsible for data integration, quality, governance, and reporting.
  • Build and optimize Tableau dashboards and reporting solutions to deliver actionable insights to business stakeholders.
  • Define and enforce data governance, security, and quality standards across data platforms.
  • Collaborate with business units, product owners, and executive leadership to define key metrics and support data-driven decision-making.
  • Lay the technical and architectural groundwork for AI / ML readiness, including data cataloging, feature engineering pipelines, and integration points with AI platforms.
  • Drive the roadmap for the data platform, balancing short-term delivery needs with long-term innovation and scalability.
  • Manage vendor relationships, contracts, and technical partnerships to support the data stack.
  • WHAT YOU'LL NEED

  • Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field.
  • 8+ years of experience in data engineering, data warehousing, or analytics, including 3+ years in a leadership or managerial role.
  • Proven experience with Snowflake and cloud-based data warehouse architecture (AWS, Azure, or GCP).
  • Deep understanding of medallion architecture and its application in scalable data solutions.
  • Strong experience with Tableau or similar BI tools (Power BI, Looker).
  • Knowledge of ETL / ELT processes, data pipelines (e.g., dbt, Airflow, Fivetran), and modern data engineering best practices.
  • Experience establishing data governance, lineage, and cataloging frameworks (e.g., Alation, Collibra, Unity Catalog).
  • Familiarity with AI / ML platforms and the data requirements for operationalizing advanced analytics.
  • Strong leadership, project management, and communication skills.
  • Experience in highly regulated or enterprise-scale environments.
  • Knowledge of data privacy, compliance, and ethical considerations in data & AI.
  • Certification in Snowflake, Tableau, or cloud data platforms is a plus.
  • BENEFITS

  • Flexible and generous paid time off
  • Competitive medical, dental, vision and life insurance
  • 401(k) employer matching program
  • Parental leave
  • Wellness resources
  • Charitable matching program
  • Hybrid work
  • On-site workout facilities (Leawood, Gilbert, Burlington)
  • Community outreach groups
  • Tuition reimbursement
  • Fostering A Sense of Belonging

    We seek out and celebrate all people and perspectives and cultivate an inclusive culture where everyone can thrive, feel valued and be their authentic selves. Our culture is firmly rooted in the belief that by embracing our differences and drawing on diverse perspectives, we are a stronger, more innovative, and more successful organization where employees experience a sense of belonging.

    About Ascend Learning

    As a tech-enabled services company, Ascend Learning is a national leader in developing and delivering data-driven online educational content, software, assessments, analytics, and simulations serving institutions, students and employers across healthcare, fitness and wellness, public and workplace safety, skilled trades, insurance, financial services, cybersecurity, and higher education. We're committed to accelerating the learning pathways that can move people into careers where they have the knowledge and skills to have an impact and help change lives in the communities they serve. Headquartered in Burlington, MA with additional office locations and hybrid and remote workers in cities across the U.S., Ascend Learning was recognized by Newsweek and Plant-A Insights Group as one of America's 2023 Greatest Workplaces for Diversity.

    Ascend Learning, LLC is proud to be an equal opportunity employer (M / F / Vets / Disabled). No agency or search firm submissions will be accepted. Applications for U.S. based positions with Ascend Learning, LLC must be legally authorized to work in the United States and verification of employment eligibility will be required at the time of hire.

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