Senior Product Manager
Listed on 2026-09-09
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IT/Tech
Business Intelligence, Data Analyst, Business Systems & Technology Analysis, AI Business & Operations -
Business
Business Intelligence, Data Analyst, Business Systems & Technology Analysis, AI Business & Operations
Senior Product Manager
Dallas, TX
OverviewPower School powers education for more than 45 million users worldwide. Our Analytics & Insights products help K-12 districts bring together data from across their ecosystem and turn it into meaningful information that supports better decisions, stronger student outcomes, and more effective school and district operations.
We are evolving Analytics & Insights from a reporting and dashboard platform into a decision intelligence experience organized around trusted data, metrics, insights, recommendations, actions, and measurable outcomes. This move requires a product leader who can modernize the existing analytics business while shaping the next generation of metric-driven, insight-rich experiences for educators and district leaders.
ResponsibilitiesAs Senior Product Manager for Metrics & Analytics Experience, you will own the product strategy and roadmap for the analytics experience layer of Analytics & Insights. Your mission is to move the product from dashboard-first navigation toward a metrics-centered experience where districts can define, customize, monitor, benchmark, and understand the measures that matter most to them.
This role sits at the intersection of customer analytics needs, product experience, trusted data models, and AI-enabled insight delivery. You will maintain and evolve the current analytics business, including dashboards, out-of-the-box reporting, and core reporting workflows, while building toward a more flexible, metrics-centered future that supports metric catalogs, customer-defined metrics, benchmarking, drill-down, cross-domain measures, and embedded insights and recommendations.
You will partner across data platform, semantic layer, and AI-driven intelligence teams to ensure metrics are clearly defined, consistently modeled, trusted by customers, and delivered through intuitive product experiences. This includes shaping requirements for metric definitions, semantic-layer dependencies, data quality, implementation speed, explainable insights, and recommendation experiences that help districts move from understanding performance to taking informed action.
What You’ll Do
- Define and lead the product vision for a metrics-centered Analytics & Insights experience that helps districts understand performance, identify what matters, and take informed action.
- Evolve the product from dashboard-first navigation toward metric pages, catalogs, customer-defined metrics, benchmarking, drill-down, and guided exploration.
- Modernize existing dashboards, out-of-the-box analytics, reporting experiences, and core analytics workflows while maintaining value for current customers.
- Use customer feedback, product usage, support trends, win/loss insights, and competitive signals to prioritize the highest-impact analytics improvements.
- Shape requirements for metric definitions, calculation logic, semantic-layer dependencies, data quality, local configuration, and cross-domain metric experiences.
- Embed explanations, automated insights, recommendations, and AI-enabled experiences where they help users move from analysis to action.
- Partner across engineering, design, data science, customer success, services, support, sales, and marketing to deliver scalable, intuitive analytics capabilities.
- Lead discovery, requirements, prioritization, launch readiness, and post-launch measurement, with clear narratives that connect customer problems to business outcomes.
Preferred Qualifications
- 4+ years of product management experience in SaaS, analytics, business intelligence, data products, enterprise software, or education technology.
- Strong understanding of analytics user experiences, dashboards, metric design, reporting workflows, data visualization, drill-down, benchmarking, and self-service analytics patterns.
- Experience defining metric requirements, calculation logic, reporting requirements, or semantic-layer dependencies in partnership with engineering or data teams.
- Ability to translate complex data and customer workflows into simple, intuitive, high-value product experiences.
- Strong product discovery skills, including customer research, problem framing,…
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