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Product Manager, AI – Predictive Analytics
Liaison. Develop and maintain the product roadmap for AI, analytics, and agentic capabilities, including AI-driven recommendations, conversational interfaces, workflow automation, and student- and institution-level insights .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Product Management with a focus on AI and analytics, translating complex AI/ML concepts into actionable product specifications. Proven ability to collaborate cross-functionally and develop customer-facing documentation to enhance product adoption and success.
Highest-signal resume keywords
Product Management ExperienceAI/ML Capabilities DevelopmentData Analysis and Insights GatheringAgile Product DevelopmentExcellent Communication Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Product Roadmap DevelopmentAI-Driven RecommendationsWorkflow AutomationPredictive ModelingMachine Learning ConceptsSoftware Product LaunchCustomer Insights AnalysisProduct Specification TranslationSuccess Metrics DefinitionUsability Trends Monitoring
Soft Skills
CollaborationPresentation SkillsFeedback ProvisionCustomer Value Proposition Development
Tools & Technologies
BI ToolsAnalytics ToolsJiraUX/UI Design Tools
Industry Keywords
Higher EducationEdTechEnrollment ManagementStudent RetentionFinancial AidInstitutional ResearchSaaS EnvironmentData-Intensive Products
About the role
Key responsibilities & impact- Develop and maintain the product roadmap for AI, analytics, and agentic capabilities, including AI-driven recommendations, conversational interfaces, workflow automation, and student- and institution-level insights
- Partner with Data Science, Engineering, and client-facing teams to translate predictive and prescriptive model outputs into usable, explainable product features
- Gather and analyze customer, market, and user insights to identify needs, validate opportunities, and inform product priorities
- Translate business, customer, and technical requirements into clear product specifications and development priorities
- Collaborate with UX/UI teams to define requirements and provide feedback throughout the design and development process
- Define product success metrics and monitor customer usage, adoption, and usability trends to inform ongoing improvements
- Support the development and continuous improvement of processes for bringing AI-powered capabilities from concept through development, validation, and release
- Develop customer-facing documentation, release notes, training materials, demonstrations, and other resources to support successful product adoption
- Collaborate cross-functionally throughout the product development lifecycle to ensure alignment on priorities, requirements, timelines, and customer value
Requirements
What you’ll need- Bachelor’s degree in Business, Computer Science, Data Science, Engineering, or a related field, or equivalent professional experience
- 3+ years of Product Management experience, preferably within a data-intensive, analytics-driven, or SaaS environment
- Demonstrated experience developing and launching software products or features that incorporate AI/ML capabilities, including AI-driven or agentic workflows
- Strong ability to translate complex or ambiguous AI/ML concepts into clear product requirements and compelling customer value propositions
- Excellent written and verbal communication skills, including experience presenting and demonstrating products to internal and external audiences
- Background in machine learning or predictive modeling strongly preferred, whether through prior data science/analytics experience, an ML-focused product role, or close partnership with Data Science or ML teams
- Strong familiarity with modeling concepts and interpreting machine learning model outputs
- Higher education or EdTech experience, particularly in enrollment management, student retention, financial aid, or institutional research, preferred
- Experience with BI or analytics tools and using data to inform product decisions preferred
- Familiarity with Agile product development practices and tools such as Jira
- Experience with beta testing or customer co-design programs preferred