WHAT YOU'LL DONASM 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 WORKThis 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 governance and trust. Empowering team members with AI capabilities to produce measurable improvements.
- Manage strategic vendor relationships across the data and AI ecosystem (Snowflake, Microsoft, Claude, Azure AI, OpenAI, and others).
WHAT YOU'LL NEED- Bachelor's degree in computer science, statistics, mathematics, engineering, or related field required; Master's degree preferred.
- 10+ years of progressive experience in data, analytics, or AI/ML; 4+ years of people management.
- Hands-on experience building and operating a modern data platform on Snowflake (or equivalent cloud data warehouse).
- Proven experience deploying machine learning and generative AI use cases to production, including MLOps practices.
- Strong understanding of data governance, data privacy (GDPR, CCPA), and AI governance frameworks.
- Experience with the modern data stack: ingestion (Fivetran, Airbyte), transformation (dbt), orchestration (Airflow, Prefect), and BI (Power BI, Tableau, Looker).
- Experience working in Azure cloud environments preferred, including Azure AI Foundry, Azure OpenAI, and Microsoft Fabric.
- Demonstrated ability to build and lead high-performing data and AI teams in a matrixed, MSP-supported delivery model.
- Strong executive communication; able to translate complex data and AI concepts for business stakeholders.
- Experience with responsible AI practices, including model documentation, bias evaluation, and ethical AI considerations.
- A change agent that delivers measurable outcomes for the business through data and AI.
HIRING RANGEThe current full-time, annualized base pay hiring range for this role is $170,900.00-$244,420.00. In accordance with applicable state laws, we are providing the expected pay range for this position. Individual compensation will be determined by various factors, including relevant experience, qualifications, current business needs and local market factors. Most regular, full-time employees are eligible to participate in an Ascend incentive bonus or sales plan.
BENEFITS - Health, dental, and vision insurance
- Company paid life Insurance
- 401(k) with company match
- Paid time off and parental leave
- Employee assistance program
- Other wellness programs such as Headspace and Airvet
- Charitable matching program
