If youre passionate about building a better future for individuals communities and our countryand youre committed to working hard to play your part in building that futureconsider WGU as the next step in your career.

Driven by a mission to expand access to higher education through online competency-based degree programs WGU is also committed to being a great place to work for a diverse workforce of student-focused professionals. The university has pioneered a new way to learn in the 21st century one that has received praise from academic industry government and media leaders. Whatever your role working for WGU gives you a part to play in helping students graduate creating a better tomorrow for themselves and their families.

The salary range for this position takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.

At WGU it is not typical for an individual to be hired at or near the top of the range for their position and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is:

Job Description

Location: Salt Lake City UT

About the Role:

WGUs Data & AI programs prepare learners for careers in high-demand fields including data analytics data science and data engineering in an increasingly AI-driven workforce. As Lead Academic Program Manager you will lead a portfolio of programs (e.g. BS Data Analytics MS Data Analytics and future Data Science and Data Engineering offerings) from concept through continuous improvement. You will play a key role in shaping a future-ready Data & AI program portfolio aligned to workforce needs and learner success.

This is a high-ownership individual contributor role requiring both strategic vision and execution. You will work across a matrixed organizationpartnering with Program Development Faculty Mentors Marketing Skills and external stakeholdersto deliver programs that drive strong student outcomes and workforce relevance.

Primary Responsibilities:

Program Strategy: Conduct market research and workforce analysis to define program and portfolio vision positioning and roadmap across Data & AI programs including emerging trends in AI-enabled analytics and data-driven decision-making.

Program Development: Lead cross-functional collaboration to design and refine curriculum aligned to skills competencies and employer needs including integration of modern data practices and AI-aware workflows that reflect evolving industry standards.

Student Success & Performance: Monitor key metrics (e.g. course completion progression retention) and identify opportunities to improve student outcomes. Ensure learners are prepared to work effectively in modern data environments that increasingly incorporate AI tools and technologies.

Stakeholder Alignment: Align cross-functional teams on priorities timelines and execution in a complex matrixed environment.

Industry Alignment: Engage with advisory boards and partners to ensure programs remain relevant; support integration of industry tools certifications and emerging practices including AI-enabled data platforms and workflows.

What Success Looks Like

- Improved student success metrics (course completion progression retention)
- Programs demonstrate strong workforce alignment and clear market differentiation
- Programs prepare learners to succeed in data-driven and AI-influenced workplaces
- Effective execution of program development and redevelopment initiatives
- Strong cross-functional alignment and delivery against program goals
- Programs are recognized as career-relevant applied and aligned to modern data and AI practices

Qualifications:

Required:
-Masters degree in Data Analytics Data Science Computer Science Statistics or related field (In lieu of a masters degree a bachelors degree plus seven years of directly relevant experience will be considered.)
-4 years of experience in program management product management educational program development or a related field

Preferred:
- Experience in data analytics business intelligence data science or data engineering
- Familiarity with tools such as Python SQL Power BI/Tableau or cloud data platforms
- Experience with workforce-aligned curriculum or skills-based education
- Experience in online or competency-based education
- Exposure to or familiarity with AI/ML concepts AI-enabled analytics tools or data applications supporting AI systems

Key Capabilities:

- Strategic thinking with strong execution focus
- Data-driven decision-making and analytical skills
- Ability to lead through influence in a matrixed organization
- Strong communication skills across diverse audiences
- Ability to balance innovation with operational effectiveness

Reports to:

Associate Dean Data Programs

Additional Information:

This role offers the opportunity to help shape and scale a growing portfolio of Data & AI programs aligned to workforce needs and learner success.

Physical Requirements:
Prolonged periods sitting at a desk and working on a computer.
Must be able to lift up to 15 pounds at times.

This position requires occasional travel of up to 20% including required attendance at designated company summits (typically one to two per year). Additional travel may include conferences visits to company locations and other business-related events as needed. Additional travel may be assigned as needed to support business requirements.

Position & Application Details

How to Apply: If interested an application will need to be submitted online. Internal WGU employees will need to apply through the internal job board in Workday.

Additional Information

Disclaimer: The job posting highlights the most critical responsibilities and requirements of the job. Its not all-inclusive.

Accommodations: Applicants with disabilities who require assistance or accommodation during the application or interview process should contact our Talent Acquisition team at

Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to any protected characteristic as required by law.