Job
Description
As the Lead PM, you will own the full lifecycle of our data intelligence products from concept to launch and ongoing. You will define the product vision and roadmap for insights derived from geospatial, mobility, behavioral, and commerce data. Your role will involve leading cross-functional teams to design, develop, and scale analytics products that turn raw data into intuitive, decision-ready outputs. Collaboration with data science, engineering, and UX teams will be essential to translate complex data pipelines into clear user experiences and workflows. Additionally, you will partner with clients, commercial teams, and industry stakeholders to identify high-impact use cases and ensure measurable outcomes from our solutions. Writing clear product specs, epics, and user stories with a deep understanding of the underlying data architecture and business logic will be part of your responsibilities. You will also drive AI adoption across the product organization, conduct AI research for product features, prioritize features, manage development timelines, and drive agile execution. Monitoring product performance, gathering feedback, and continuously iterating on features and functionality will be crucial, along with managing relationships with external data providers to ensure seamless data ingestion, processing, and delivery. Key Responsibilities: - Define product vision and roadmap for insights derived from geospatial, mobility, behavioral, and commerce data - Lead cross-functional teams to design, develop, and scale analytics products - Collaborate with data science, engineering, and UX teams - Partner with clients, commercial teams, and industry stakeholders - Write clear product specs, epics, and user stories - Drive AI adoption and research for product features - Prioritize features, manage development timelines, and drive agile execution - Monitor product performance, gather feedback, and iterate on features - Manage relationships with external data providers Qualifications Required: - 7+ years of product management experience in SaaS or enterprise data platforms - Proven track record of building data or analytics products that deliver business insights and value - Strong understanding of big data architecture, cloud data warehouses (Snowflake, BigQuery, etc.), and ETL/ELT pipelines - Hands-on expertise in SQL and familiarity with Python or JavaScript is a strong advantage - Deep appreciation for geospatial, behavioral, or mobility data and its impact on business decisions - Excellent communication and stakeholder management skills - Prior experience working with or alongside data science, ML, or analytics teams is highly desirable - Engineering background or technical proficiency and product thinking (Note: No additional details of the company were present in the job description),