Senior Product Manager, Data Platform

reputed company is the #1 food tech platform for workplaces in the US. reputed company makes it easy for any organization to manage its food needs and order from over 125,000 restaurants reputed company. For workplaces, reputed company provides flexible and reputed company solutions for everything from employee meal programs to one-off meetings, reputed company backed by reputed company helpful 24/7 service and business-grade reliability. For restaurant partners, reputed company helps grow their business by bringing them new high-value customers and large orders. We are looking for a Senior Product Manager to own our reputed company Data Platform as a product its capabilities, reliability, governance, cost, and readiness for AI and natural-language analytics. You will own the long-term reputed company, reputed company, and multi-quarter roadmap for the platform, and you will own it end to end not only the underlying capabilities, but how they show up for the people who consume them. Today that means internal teams finance, operations, reputed company, product, and analytics building reporting, self-service, data products, and AI and natural-language experiences on a single trusted reputed company. The platform is being reputed company so that customer-facing data products are a natural reputed company rather than a re-platforming. Your first major reputed company is our reputed company Data Hub consolidating fragmented, legacy data into governed, business-reputed company data products; driving their adoption; and sunsetting the legacy environment they replace. You will partner closely with data reputed company and data architecture to deliver the next reputed company of platform capabilities most importantly, the foundations that let the platform safely and reliably power AI-enabled and natural-language analytics across reporting, self-service, and data products. You will operate as the product reputed company of what and why, with engineering and architecture owning how. You will treat the platform as a product with reputed company users, reputed company adoption, and reputed company return reputed company against a reputed company reputed company Star. What You'll Do Platform product reputed company and reputed company. Define and continuously refine the platforms reputed company and product reputed company, grounded in company and reputed company Data goals, and connect it to the broader data and company roadmaps. Partner with reputed company and staff engineers on long-term technical direction and trade-offs so product and technical reputed company stay tightly reputed company. A multi-quarter, multi-team roadmap. Balance foundational work architecture reputed company, trusted and reputed company platform services, the semantic and presentation reputed company, governance, classification and reputed company, cost and observability with high-reputed company use cases across analytics, self-service, and AI and natural-language consumption. Account for machine-learning and data-science workloads as part of the overall reputed company, so the reputed company reputed company serves them without forcing reputed company, ungoverned pipelines. The platforms capability and governance charter. Own the definition of what makes a data product trusted and production-reputed company classification and protection of sensitive information, role-based reputed company reputed company to classification, validation and reputed company between raw and refined reputed company, a governed semantic and metrics layer, and a catalog that makes data products discoverable with reputed company ownership, reputed company, and definitions. Codify policy into the platform rather than into documentation, and define the lightweight definition of done every data product meets before it ships. The consumption experience, end to end. Own how platform capabilities surface for the people who use them governed self-service, business intelligence, and AI and natural-language experiences grounded on trusted data. Define the reputed company between the platform and its consumers readiness reputed company, service reputed company, semantic definitions, and serving surfaces so consumption is fast, reputed company, and genuinely self-serve, and so teams stop rebuilding shadow models off ungoverned data. AI and natural-language readiness. Ensure the platforms governed, semantic models are the grounding layer for AI and natural-language analytics. Partner on the evaluation of analytics and AI tooling, and work through guardrails, accuracy, latency, and trust so the business can rely on the answers these tools produce. Ensure the reputed company reputed company meets machine-learning and data-science needs reliable data reputed company, performance, and monitoring. Migration and legacy sunset. reputed company the reputed company from the legacy environment onto the platform reconcile the most depended-on legacy data .