Sr Data Product Manager

Aeries Software is a leading EdTech company with a data-driven Student Information System used by numerous school districts. They are seeking a Senior Data Product Manager to own the data analytics and insights ecosystem, driving strategy and delivery of reporting and analytics capabilities that enable data-driven decision-making across the organization.

Responsibilities:

• Own the strategy and roadmap for self-service and ad hoc reporting capabilities, enabling internal and external stakeholders to access data without engineering dependency
• Partner with engineering to deliver scalable, intuitive reporting and analytics tools and ensure reporting infrastructure supports near real-time insights generation
• Define and maintain reporting standards, data taxonomies, and event tracking frameworks that process high-volume data reliably and consistently
• Serve as the primary product owner for the user analytics platform, including instrumentation strategy, SDK architecture, and platform governance
• Drive the roadmap for Natural Language Query (NLQ) capabilities, enabling non-technical stakeholders to explore data through conversational, AI-powered interfaces
• Lead prioritization of data input validation features to ensure the integrity, completeness, and trustworthiness of all captured behavioral data across products
• Proactively monitor user behavior trends, session patterns, and funnel analytics to identify friction points, drop-off signals, and areas of product concern and recommend preventative measures
• Own consent and privacy frameworks governing tracking preferences and data collection across user-facing products
• Define, document, and maintain KPIs across the full product lifecycle — from discovery and development through launch, adoption, and optimization
• Build and manage product health dashboards that give leadership, product managers, and cross-functional partners real-time visibility into feature impact and product performance
• Establish a regular cadence of KPI reviews, executive reporting, and data storytelling that connects product outcomes to business goals
• Lead measurement strategy for AI-native and LLM-powered features, building evaluation frameworks for intent classification, generative content, and intelligent workflows
• Use AI tools to accelerate research synthesis, competitive analysis, market landscaping, and opportunity assessment
• Leverage AI to draft and iterate on product requirements, user stories, acceptance criteria, and stakeholder communications at speed
• Employ AI-assisted analytics and summarization to rapidly extract insights from user interviews, support tickets, NPS data, and usage telemetry
• Evaluate and recommend emerging AI/ML capabilities for integration into the product platform to automate workflows, improve data quality, and enhance user experience
• Champion AI literacy within the product team — sharing tools, techniques, and workflows that raise team velocity and output quality
• Lead continuous discovery through user interviews, usability testing, contextual inquiry, and prototype feedback sessions to validate product directions before committing engineering resources
• Develop testable hypotheses and run structured experiments to drive evidence-based product decisions grounded in behavioral data
• Build rapid prototypes and interactive concept demos using AI prototyping tools (Lovable, Figma) to make data and analytics ideas tangible early in the discovery cycle
• Continuously synthesize customer needs, data trends, and business goals to maintain an outcome-oriented data and insights roadmap
• Use structured prioritization frameworks to make transparent trade-off decisions across NLQ, validation, reporting, and KPI initiatives
• Identify integration opportunities that improve data interoperability, unify workflows, and create measurable value across the product portfolio
• Partner with engineering, business development, and leadership to define integration roadmaps that balance speed-to-value with technical feasibility
• Collaborate with design and business analysts to craft appropriate solutions to validated data and insight problems
• Partner with Marketing, Sales, Customer Success, and Support to surface actionable insights and align on go-to-market readiness
• Maintain a closed feedback loop with Customer Success to ensure post-launch learnings and customer data signals flow back into discovery and roadmap planning
• Establish and maintain standardized workflows, templates, and processes for data product development that improve cross-functional efficiency
• Own and optimize the analytics and product tooling stack, ensuring adoption and integration across the product team
• Build and maintain dashboards that surface product performance data, customer feedback trends, and discovery insights to leadership

Requirements:

• 7+ years of hands-on experience with behavioral analytics platforms; direct expertise with Amplitude, Matomo, Mixpanel, Pendo, or equivalent tools in a Product Management role
• Proven ability to architect and own event tracking frameworks, processing large-scale data volumes with near real-time performance
• Demonstrated experience building or scaling self-service analytics tools
• Familiarity with Natural Language Query (NLQ) and AI-assisted analytics concepts, including LLM-powered data exploration interfaces
• Experience owning data governance practices, including privacy and consent frameworks, data quality standards, and input validation tooling
• Strong data literacy — comfortable reading and writing SQL, interpreting statistical outputs, and partnering effectively with data engineers
• Experience with experimentation infrastructure and A/B testing frameworks to support evidence-based product decisions
• Experience leading measurement strategy for AI-native or LLM-powered product features (intent classification, generative content, Q&A systems, etc.)
• Proficiency with AI productivity tools (Claude, or similar) to accelerate product workflows
• Experience with structured product discovery frameworks (Opportunity Solution Trees, Jobs-to-Be-Done, Design Sprints, or similar)
• Knowledge of Agile processes and iterative product development
• Experience building or improving product team processes and operational workflows
• Clear, concise, and effective written and verbal communication skills, including executive-level reporting and data storytelling
• Proficiency with modern product management tools, including Azure DevOps, Jira, Aha!, or equivalent
• Collaborative approach to cross-functional work with a proactive mindset toward identifying and resolving dependencies
• 5+ years of Product Management experience, with a significant focus on data products, analytics platforms, or business intelligence
• Demonstrated experience owning a full data platform stack, including analytics, experimentation, customer data platforms, and/or data lake infrastructure
• Background in software engineering, data engineering, or a highly technical discipline is strongly preferred and will be a differentiating factor
• Experience in B2B SaaS environments; EdTech, enterprise software, or similarly complex product ecosystems a plus
• Demonstrated experience conducting customer research, product discovery, and prototype-based validation
• Bachelor's degree in Product Management, Business Administration, Computer Science, Data Science, or a related field — or equivalent work experience