Product Manager, Analytics & Reporting

NEOGOV provides software for public-sector organizations. The Product Manager, Analytics & Reporting will lead the strategy, roadmap, and adoption of its analytics platform, delivering dashboards, advanced analytics, and AI-driven insights in collaboration with Product, Design, Engineering, and other teams.

Responsibilities:

• Define and execute the multi-year roadmap for NEOGOV’s Analytics and Reporting platform, leveraging Looker and Snowflake built on top of an enterprise data lake infrastructure
• Identify and deliver AI-powered capabilities (such as natural language querying, automated anomaly detection, and predictive reporting) to make data insights effortless for non-technical users
• Maintain data governance, intake standards, and SLA guidelines to support embedded analytics across internal product suites and external customers
• Assist in migration from old tooling to the new A&R architecture
• Oversee Looker LookML model definitions, dashboard templates, embedded analytics, and self-service BI user experiences across NEOGOV products
• Partner with Data Engineering to optimize data modeling, ELT/ETL pipelines, data warehousing in Snowflake, and query performance over cloud data lakes
• Collaborate with Data Science and Engineering to integrate LLMs, smart summaries, and predictive algorithms into reporting workflows
• Ensure all analytics and AI capabilities maintain strict public-sector compliance, row-level security, and data privacy standards
• Drive alignment across Product, UX, and Engineering to increase analytics adoption and create a data-driven culture across subscribing applications
• Track key operational and product metrics, including query response performance, AI feature usage, dashboard engagement, and customer satisfaction
• Support product discovery, definition, and execution for key enterprise Platform initiatives and features
• Work cross-functionally with Design, Engineering, Customer Success, and Sales to deliver seamless, high-quality releases
• Enable internal and external customers to successfully use delivered features
• Track metrics and KPIs for feature adoption, configurability, and customer satisfaction
• Gather feedback from sales, customer CAB meetings and internal product resources to build a feature roadmap

Requirements:

• 5+ years of Product Management experience in SaaS organizations, specifically focused on data analytics, business intelligence, or data infrastructure platforms
• Hands-on experience with Looker (LookML), Snowflake data warehousing, and cloud data lakes (AWS/S3, Azure Blob, or GCP)
• Proven experience shipping AI/ML features into enterprise software products, such as natural language querying, automated insights, or predictive modeling
• Proven ability to influence cross-functional stakeholders across Product, UX Design, Engineering, and QA without direct authority
• Ability to interview, absorb information, and turn it into user stories and acceptance criteria with samples and prototypes for development and QA
• Ability to collaborate with a scrum team to deliver features that provide value, are documented, and enable downstream teams to use those features