Director Data & AI

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

 

Ascend Learning, a leading healthcare and learning technology company, 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. From testing to certification, Ascend Learning products are used by physicians, emergency medical professionals, nurses, allied health professionals, certified personal trainers, financial advisors, skilled trades professionals and insurance brokers.

 

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 2025 Greatest Workplaces as well as America’s Best Places to work for Mental Well-Being for 2025. 

 

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 37 years, National Academy of Sports Medicine® (NASM®) has set the standard in fitness and wellness credentials and certification with best-in-class, evidence-based programming. An Ascend Learning brand, NASM has delivered over 1.4 million fitness professionals in over 100 countries. From personal training to nutrition coaching, wellness to sports performance, NASM trainers and specialists work at every level to help clients set and reach their unique goals. Join us in igniting potential and making a lasting impact in the fitness and wellness industry.

 

WHAT YOU’LL DO

NASM is seeking a Director of Data and AI, reporting to the Chief Information Officer. This senior leadership role owns NASM’s data architecture and artificial intelligence capability. A horizontal function serving Product, Architecture, and the entirety of the business. The Director of Data and AI leads the team building and running the Snowflake data platform and the production AI/ML use cases that power business, member, trainer, and club experiences.

Snowflake is the data backbone of NASM’s technology landscape. This role is accountable for the integrity, performance, and trustworthiness of the data estate, the contracts that govern how source systems publish data, and the semantic layer that enables self-service analytics across the enterprise.

The Director is also the engine of NASM’s AI-first business enablement strategy, owning the tooling, governance, and adoption that allows the retained organization to amplify its own capacity, and partnering with the Product team to deliver AI-powered features for members, trainers, and clubs.

This role establishes the AI governance practices required before AI use cases proliferate in production, including model risk, responsible AI principles, vendor evaluation, and alignment to Ascend Learning enterprise data and AI policy.

WHERE YOU’LL WORK

 

This position will work a hybrid schedule from our Gilbert, AZ office location. Remote will be considered within the continental United States.

 

HOW YOU’LL SPEND YOUR TIME

 

• Lead and develop the Data and AI team, including a Data Architect, Data Architects and AI/ML Engineer.
• Own NASM’s Snowflake estate, including the data model, data contracts with source systems, performance, cost, and security.
• Establish and continuously evolve the modern data stack: ingestion, transformation (dbt or equivalent), orchestration, semantic layer, and visualization tooling.
• Define and execute the AI/ML strategy, prioritizing production use cases that deliver measurable business value (personalization, content recommendation, churn, study assistance, fraud).
• Establish AI governance for NASM in alignment with Ascend Learning policy: model risk, responsible AI, privacy, model documentation, and AI vendor evaluation.
• Drive the AI-first business enablement program, equipping product, business analysis, architecture, and operations teams with AI tooling, training, and ways of working.
• Align data engineering capacity through a blended in-house and MSP model; partner with the Director of Service Delivery to oversee MSP-delivered data work.
• Partner with Architecture to align the data platform with enterprise architecture standards, integration patterns, and cloud strategy.
• Establish operational metrics for data quality, pipeline reliability, model performance, analytics adoption, and AI use case ROI; report to executive leadership.
• Build the self-service analytics capability that empowers business users while maintaining data governanc