Schneider Geospatial - AI & Data Product Lead
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Requirements
• This role requires a unique blend of product thinking, technical curiosity, and hands-on execution. You are comfortable operating in ambiguity, rapidly testing ideas, and bridging the gap between emerging technology and real-world customer value. • 5+ years of experience in product management, technical product roles, or applied AI/ML environments (SaaS preferred). • Proven track record of delivering data-driven or AI-powered solutions into production. • Strong understanding of data platforms (data warehouses, pipelines) and how AI integrates into them. • Hands-on familiarity with modern AI tools (LLMs, APIs, agent frameworks, prompt engineering). • Ability to define use cases and translate them into shippable solutions with measurable impact. • Experience working cross-functionally with Engineering and Data teams to execute complex initiatives. • Strong analytical mindset with experience measuring ROI and business outcomes. • Familiarity with GIS, geospatial data, or GovTech workflows is a plus. • Ability to operate with urgency, ownership, and accountability in a high-impact role. • Your Future with Us • As the AI and Data Product Lead, you’ll build and deliver the next generation of AI-powered capabilities at Schneider Geospatial. You’ll turn strategy into execution, launching solutions that improve workflows, drive efficiency, and create measurable value for customers.
Responsibilities
• Drive AI & Data Execution • Define and prioritize AI use cases across the product portfolio, aligned to business goals and customer impact. • Lead execution of AI initiatives from concept through production. • Build & Deliver Solutions • Design and deliver AI-powered capabilities, including agentic workflows and automation layers on top of Schneider’s data platform. • Partner with Engineering and Data teams to ship scalable, production-ready features. • Own ROI & Impact • Define success metrics and track outcomes (efficiency gains, automation, accuracy improvements). • Build business cases and continuously optimize solutions based on performance. • Enable Cross-Product Adoption • Work across product teams to embed AI capabilities into core workflows. • Establish repeatable patterns for scaling AI across the portfolio.
Benefits
• Mission + Impact: Apply AI and data to directly improve how local governments operate and serve their communities. • Ownership + Execution: Take ownership of building and delivering AI capabilities that move from concept to production and measurable outcomes. • Platform + Scale: Leverage a strong data foundation to build scalable AI solutions across a broad product portfolio. • Culture + Collaboration: Partner across Product, Engineering, and Data to deliver high-impact outcomes in a fast-moving environment. • Compensation + Opportunity: Competitive compensation and a rare opportunity to define and build Schneider’s AI and data innovation function, turning emerging technology into real, customer-facing product impact.
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