• Own and Deliver Data Products: Gather requirements for, prioritize, deliver, maintain, and continuously improve maps, reusable layers, dashboards, analyses, and other geospatial data assets. Act as the product manager and implementer for your domain’s data offerings. • Be a Trusted Data Partner: Become the subject matter expert for GIS data within the organization. Identify opportunities for impact, proactively surface insights, support decision-making, and contribute to and influence business strategy and initiatives. Serve as a trusted partner to business stakeholders. • Drive Data Quality, Documentation, and Engineering: Create and maintain comprehensive data documentation and communicate updates to stakeholders. Write user stories or tickets for data engineering, conduct QA, and implement data quality monitoring. • Foster Data Culture and Adoption: Monitor the usage of data assets, increase data literacy, and promote self-service among stakeholders. Provide training, guidance, and support as needed. • Collaborate Across the Data Team: Work within a centralized data team using agile methodologies. Support peer analysts through collaboration and code reviews. • Influence Data Strategy: Partner with data engineers, scientists, and analysts to shape the vision and roadmap for the organization's broader data platform. Define and track annual OKRs to measure your impact.

• Become a deep expert in the Pathfinder solution and its application across customer use cases • Communicate Pathfinder’s capabilities clearly and persuasively in the context of user needs • Prepare and run demo projects that showcase Pathfinder’s workflows and applications • Prepare technical documentation and contribute content for sales and marketing materials • Prepare technical offers and responses for public tenders • Provide technical support, including live support to customers • Manage and triage customer technical requests to help prioritise the product roadmap • Design and deliver customer onboarding and training activities • Perform holistic testing of the solution ahead of releases and client deployments

• Drive geospatial data and tooling needs for a large-scale project • Source geospatial data in many modalities • Build geospatial data automation and tooling in an AI/ML pipeline for new applications • Research and gather data for specific regions from different sources • Manage the coverage, freshness, quality, and cost of sourced data • Build and use automated tools to prepare data for AI/ML use • Collaborate with AI/ML teams and Pipeline and Product teams

• Help drive geospatial data requirements for a large-scale project • Be part of a team of GIS developers responsible for acquiring and preparing geospatial data • Research and collect data for specific regions • Use open-source tools to preprocess and align data