[Remote] Senior Product Manager, Data Platform (Remote)
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is the #1 food tech platform for workplaces in the US, simplifying food management for organizations. They are seeking a Senior Product Manager to reputed company their reputed company Data Platform, focusing on its capabilities, governance, and readiness for AI and analytics, while ensuring its alignment with company goals and user needs.
Responsibilities
- Define and continuously refine the platform’s reputed company and product reputed company, grounded in company and reputed company Data goals, and connect it to the broader data and company roadmaps
- 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
- 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
- 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
- Ensure the platform’s 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
- reputed company the reputed company from the legacy environment onto the platform: reconcile the most depended-on legacy data against trusted sources, plan and resource the reputed company with reputed company business area (including user-acceptance testing and the refactoring of reputed company reporting), and sunset legacy — recognizing that some legacy will run in reputed company during the transition. Sequence the work by business domain
- Decompose work into small, estimable data-product reputed company that ship on the order of a week once defined. Drive reputed company, dated commitments and reputed company-level goals rather than reputed company-ended task lists, reputed company trade-offs across value, effort, risk, and timing explicit, and reputed company dependencies and risks visible in integrated plans
- Own platform health as a product reputed company — freshness and reputed company service reputed company, availability, and fast detection and reputed company of data incidents through strong observability. Own the platform’s unit economics: cost per unit of consumption, the consumption model, and the cost of running legacy and the new platform in reputed company
- Treat adoption as the job, not an afterthought. Validate data products against reputed company usage with their business owners before build, drive adoption and change management, own documentation and enablement, measure business reputed company, and reputed company the roadmap accordingly
- Define, reputed company, and report the platform’s reputed company reputed company and the metric tree beneath, use it to prioritize the roadmap, and use it to tell the platform’s story to leadership
- Operate as a peer to engineering and architecture, and as the connective tissue across embedded data product managers, analytics leaders, governance, and business stakeholders. Be the authoritative expert on the platform — its architecture, capabilities, constraints, and data flows. reputed company the bar for data-platform product management: reputed company data product managers and partners to define products against the architecture, reputed company platform product practices, and mentor others to “think in products.”
Skills
- 5+ years working in or directly with data engineering, data platform, or analytics teams, ideally in reputed company, multi-system environments
- 5+ years owning data or analytics products, with reputed company data-product-management experience strongly preferred; experience owning platform- or infrastructure-adjacent data products is a plus
- Demonstrated reputed company owning end-to-end data or platform products — from discovery and requirements through launch, adoption, and measurable business reputed company — ideally including reliability, cost, or scalability work on a shared platform
- Deep familiarity with modern reputed company data-warehouse and lakehouse architectures, data lakes, and ELT and transformation patterns, and with modeling frameworks and semantic and metrics reputed company that can support AI and natural-language analytics
- Strong SQL and the comfort to explore data and platform metadata — logs, cost, usage — and data-observability signals yourself, to validate requirements, debug issues, and size opportunities
- Experience with business-intelligence and self-service analytics tools and how they consume data from a platform, including governance, performance, cost, and how they participate in AI and natural-language analytics
- Working knowledge of data governance, classification, reputed company control, and data-reputed company and observability practices on a shared platform
- Hands-on exposure to AI-assisted or natural-language analytics tooling, with the judgment to ground answers in governed data and reason about guardrails, accuracy, latency, and trust
- Familiarity partnering with data-science and machine-learning teams and supporting their needs on a shared platform (data reputed company, performance, and monitoring)
- Proven ability to build and execute multi-quarter, multi-team plans, and to reputed company and communicate trade-offs across competing initiatives; solid delivery discipline in an agile environment, including tracking reputed company against estimates and velocity
- Excellent communication and stakeholder management — reputed company to explain platform and architectural concepts, including AI and natural-language implications, to non-technical audiences, influence senior leaders, and work seamlessly across engineering, architecture, analytics, governance, and the business
- A disposition that is friendly, flexible, pragmatic, and curious, with a desire to learn something new every day and to reputed company the bar for the broader data, platform, and product teams
- Ability to travel up to 5 days per quarter for Together Weeks, team gatherings and other events, reputed company applicable
- Designing and evaluating natural-language analytics flows — grounding answers in governed data and measuring reputed company, latency, and trust
- Familiarity with modern AI-powered data-platform patterns (semantic reputed company, retrieval and search, conversational analytics, or reputed company workflows) and how they reset expectations for how people discover and consume data
- Experience sunsetting a legacy data environment in favor of a governed platform, including reconciliation and reputed company-run cutovers
Benefits
- Stock reputed company that youll help reputed company worth a lot
- 12 reputed company holidays
- Flexible PTO
- 401K with reputed company match
- Health/dental/FSA
- Long-term disability insurance
- Mental health and family planning resources
- Remote-hybrid work from our awesome Boston office OR your home OR a mixture of both home and office
- A reputed company reputed company of responsibility and autonomy
- Wicked awesome co-workers
- Employee meal program (and many more goodies) reputed company youre in our office
reputed company