Product Manager, Data & Analytics

StarRez is a global provider of student housing software for housing management, resident wellness and experience, and revenue generation. The Product Manager, Data & Analytics will define and execute the strategy for data, analytics, and AI capabilities, leading initiatives from discovery through delivery and partnering with cross-functional teams to deliver customer-focused solutions.

Responsibilities:

• Define and evolve the long-term product strategy and roadmap for StarRez's data, analytics, and AI capabilities, aligning customer needs with business objectives
• Lead high-impact product initiatives from discovery through launch and continuous improvement, establishing clear success metrics and measuring business impact
• Partner with customers, Engineering, Design, and cross-functional stakeholders to translate insights into scalable, user-centered product solutions
• Use customer research, analytics, experimentation, and market trends to prioritize investments and make data-informed product decisions
• Drive adoption, engagement, and commercial outcomes by delivering products that improve decision-making, operational efficiency, and customer value
• Balance competing priorities across customer requests, technical investments, and strategic initiatives while maintaining a clear long-term product vision
• Champion innovation by identifying opportunities to leverage AI and intelligent automation to enhance the customer experience and strengthen the StarRez platform

Requirements:

• 2+ years of product management experience
• Experience owning SaaS, platform, or data-focused products that delivered measurable customer and business impact
• Proficient in translating customer, business, and technical needs into clear product strategy, requirements, and roadmap priorities
• Demonstrated success influencing cross-functional teams and executive stakeholders in a collaborative environment
• Experience using customer research, analytics, experimentation, and product metrics to drive product decisions
• Proven ability to partner closely with Engineering to deliver scalable, high-quality software solutions
• Experience with data platforms, business intelligence, analytics, reporting, or AI-driven product capabilities
• Familiarity with AI-enabled products, data platforms, or intelligent automation, and an interest in applying emerging technologies to solve customer problems
• Experience in higher education, student housing, enterprise SaaS, or related industry
• Experience developing pricing, packaging, or go-to-market strategies for software products