Senior Product Manager, Workforce Edge

Strayer Education, Inc.

9d • Onsite

About The Position

The Sr Product Manager WFE serves as a senior product and technology leader, responsible for defining and executing the long-term vision for Workforce Edge’s data and AI ecosystem. This role drives the strategy that makes Workforce Edge’s platform scalable, intelligent, and future-ready - centralizing data, enabling predictive analytics, and applying artificial intelligence to enhance every aspect of the customer and learner experience. Operating at the intersection of product strategy, data engineering, and AI innovation, this leader partners with senior executives, data scientists, and engineering leaders to implement an enterprise-grade data architecture and drive the application of AI across all Workforce Edge products. As the most senior member of the product organization, the Sr Principal Product Architect, AI & Data also mentors other product managers, shaping product strategy and elevating product thinking across domains. The Sr Product Manager WFE operates as a senior leader in the product organization, influencing company-wide priorities, mentoring product peers, and aligning investments to Workforce Edge’s mission of delivering education benefits at scale.

Requirements

• Deep expertise in data architecture, AI-driven product strategy, and large-scale platform systems.
• Experience leading the productization of machine learning, NLP, and generative AI in enterprise SaaS environments.
• Strong understanding of ETL/ELT pipelines, schema management, data lineage, metadata governance, and model lifecycle management.
• Proven ability to bridge technical depth and executive influence, communicating complex technical concepts with clarity and confidence.
• Demonstrated success leading cross-functional AI initiatives that span data engineering, product, and data science.
• Expertise in skills taxonomies, upskilling analytics, and AI applications in the future of work.
• Skilled in defining AI governance frameworks and ensuring responsible, compliant use of data and models.
• Exceptional leadership and mentoring skills; able to develop product talent and foster a culture of innovation, accountability, and technical excellence.
• Thought leadership in AI product strategy, personalization, and data ethics, with a focus on driving measurable impact for customers.
• 8+ years of product management experience in SaaS, data platform, or AI-driven product environments.
• Proven track record leading enterprise-scale data and AI initiatives from concept through implementation.
• Experience with cloud data ecosystems (GCP, AWS, or Azure), modern data and AI tools (Databricks, Snowflake, Airflow, TensorFlow, PyTorch), and MLOps best practices.
• Demonstrated success collaborating with executive stakeholders and technical leaders to deliver transformative business outcomes.
• Bachelor’s degree in Computer Science, Engineering, Data Science or a related field (Master’s preferred).
• Must be able to travel occasionally should a business need arise.
• Ability to work onsite in Corporate or Campus location (in a typical office environment) may be required based on role.
• Must be able to meet critical thinking and problem solving aspects aligned to job duties, as well as effectively communicating with co-workers.
• Must be able to work more than 40 hours per week when business needs warrant.
• Able to access information using a computer.

Nice To Haves

• Prior experience in education technology, workforce analytics, or HR technology preferred.
• Generative AI Solution Development (preferred)
• Certified Scrum Master (CSM) or Certified Scrum Product Owner (CSPO) (preferred)

Responsibilities

• Define and lead the multi-year product strategy for Workforce Edge’s data and AI platform, ensuring alignment with enterprise goals and executive priorities.
• Oversee the design and delivery of scalable, governed data ingestion pipelines that centralize structured and unstructured data, establishing schemas, lineage, and security models that make data AI-ready.
• Partner with Data Engineering and AI teams to implement a semantic data layer and metadata governance framework that supports predictive analytics, personalization, and automation.
• Own the technical product strategy for the AI pipeline, from data ingestion and model training through inference and feedback loops, ensuring responsible, secure, and performant AI systems.
• Lead initiatives to embed machine learning, natural language processing, and generative AI models into core Workforce Edge applications, driving automation and intelligent user experiences.
• Define how AI informs skills taxonomies, career pathways, and workforce insights, enabling employers and learners to connect education to measurable career outcomes.
• Guide the organization’s AI product vision and roadmap, collaborating with engineering, data science, and design leaders to align AI initiatives across multiple product areas.
• Serve as a strategic advisor to executive leadership, translating technical opportunities into business value and influencing portfolio-level decisions.
• Mentor and coach other Product Managers, elevating product strategy, technical fluency, and customer-centric thinking across the team.
• Represent Workforce Edge as an industry thought leader, contributing to the company’s credibility in AI for workforce development, ethical AI, and data-driven learning experiences.

Benefits

• SEI offers a comprehensive package of benefits to employees scheduled 30 hours or more per week. In addition to medical, dental, vision, life and disability plans, SEI employees may take advantage of well-being incentives, parental leave, paid time off, certain paid holidays, tax saving accounts (FSA, HSA), 401(k) retirement benefit, Employee Stock Purchase Plan, tuition assistance as well as entertainment and retail discounts.
• Non-exempt employees are eligible for overtime pay, if applicable.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 5,001-10,000 employees