AI and Data Architect

The AI and Data Architect for Workforce Edge 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 AI and Data Architect also mentors other product managers, shaping product strategy and elevating product thinking across domains.

The AI and Data Architect 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.

Essential Duties and 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.

Job Skills:

• 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.

Work Experience:

• 6-8 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.
• Prior experience in education technology, workforce analytics, or HR technology preferred.

Education:

• Bachelor’s degree in Computer Science, Engineering, Data Science or a related field (Master’s preferred).

Certificates, licenses and registrations:

• Generative AI Solution Development (preferred)
• Certified Scrum Master (CSM) or Certified Scrum Product Owner (CSPO) (preferred)

Other:

• Must be able to travel occasionally should a business need arise. For most roles travel would not be common. Travel may involve plane, car or metro. In accordance with ADA policies, reasonable accommodations regarding travel limitations can be provided. Travel will be more common for roles such as Account Executives (25 - 50%), senior leaders (10 – 20%) or Capella Core Faculty (5 – 10%). 
• Ability to work onsite in Corporate or Campus location (in a typical office environment) may be required based on role. If so, this would include being mobile within the office, including movement from floor-to-floor using elevators or stairs.
• If offsite or hybrid role, must have access to work in setting which enables meeting all requirements of the role (including privacy, reliable internet access, phone, ability to video conference, etc.) at a remote location.
• Faculty and Federal Work Study roles require access to work in setting which enables meeting all requirements of the role (including computer, privacy, reliable internet access, phone, ability to video conference, etc.) at a remote location.
• This role may require lifting, however reasonable accommodations will be provided in accordance with our ADA policies.
• 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. Accommodations related to schedule may be considered. 
• Able to access information using a computer.
• Other essential functions and marginal job functions are subject to modification.

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.

Careers - Our Benefits, Strategic Education, Inc

SEI is an equal opportunity employer committed to fostering an inclusive and collaborative culture where individuals can grow their careers and contribute fully. We strive to attract talent with broad experiences, skills and perspectives. We welcome applications from all. While it is not typical for an individual to be hired at or near the top end of the pay range at SEI, we offer a competitive salary.  The actual base pay offered to the successful candidate may vary depending on multiple factors including, but not limited to, job-related knowledge/skills, experience, business needs, geographical location, and internal pay equity. Our Talent Acquisition Team is ready to discuss your interest in joining SEI. The expected salary range for this position is below.

$130,300.00 - $195,500.00 - Salary

If you require reasonable accommodations to complete our application process, please contact our Human Resources Department at Careers@strategiced.com.