133 Data Product Manager jobs available for remote work from home. Apply for positions such as Data Product Manager | Machine Learning Platform, Product Manager Data Platform , External Contractor - Mentor role for Data Product Manager track and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Own the product direction for platform capabilities supporting the end-to-end machine learning lifecycle from data readiness to observability. Define the ML platform strategy and drive the adoption of standardized workflows and tools across data science teams.
Define and evolve the Accelerant Data Platform by gathering stakeholder requirements to deliver high-impact, AI-native data capabilities. Manage the product roadmap for data ingestion and consumption while collaborating with engineering and architecture teams to solve mission-critical business problems.
Provide technical support and answer course-related questions for students via an online community forum. Host weekly live virtual sessions to offer real-time guidance and escalate issues to the operations team.
Define the long-term strategy and roadmap for data as a reusable platform capability to power products, analytics, and AI. Lead the development of customer-facing insights and analytical AI capabilities to drive business growth and differentiation.
Own the data layer of the platform, including customer-facing dashboards, analytics, and APIs that demonstrate the value of GenerativeAgent. Drive the data strategy and roadmap to ensure consistent, scalable metrics and ROI narratives for enterprise customers.
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Own the product strategy and roadmap for a clinical data domain focused on post-acute and value-based care. Lead the development of AI-powered analytics and features to improve care transitions and patient outcomes.
Own the long-term vision, strategy, and roadmap for the Enterprise Data Platform, focusing on reliability, governance, and AI readiness. Lead the migration from legacy data environments to a governed data hub while ensuring high adoption across internal business teams.
Define and drive the multi-year strategy and roadmap for data and AI platforms to optimize clinical operations and member experiences. Lead the end-to-end execution of generative AI and machine learning initiatives while ensuring ethical and responsible AI practices.
Own the transformation of raw alternative datasets into scalable, agent-ready intelligence for an AI-powered Insight Agent. Define the methodologies, guardrails, and data structures that ensure the agent delivers accurate and statistically defensible business insights.
Own the roadmap and execution for systems that collect, process, and validate consumer financial data, including document parsing and fraud detection. Lead the scaling of bank aggregation and ensure platform reliability through strict SLA management.
Own the product direction for data platform capabilities to make healthcare data usable across payer and provider environments. Define the data product strategy and roadmap while collaborating with cross-functional teams to deliver scalable data products and insights.
Own Finance-focused data products end-to-end, including the development of pipelines, datasets, and dashboards for planning and performance analysis. Collaborate with cross-functional teams to translate finance workflows into technical requirements and manage the product backlog.
The Principal Product Manager will own the product relationship with external partners, driving end-to-end onboarding and integration scoping. They will also define and manage partner-facing data products and dashboards to ensure actionable insights and scalable integration architecture.
You will drive the data product roadmap by partnering with engineering and architecture leadership to translate business needs into technical requirements. The role involves coordinating the consolidation of legacy systems into a unified AI-powered platform while enabling new product capabilities across the healthcare payment continuum.
The Senior Product Manager will analyze complex datasets to enhance NGA mission capabilities and collaborate with multidisciplinary teams to address analytical challenges. They will also translate findings into actionable insights and guide the development of AI/ML solutions.
The Principal Product Manager will lead the integration of new product launches into the AlphaSense platform by bridging user workflows with technical execution. They will also mentor product managers and collaborate with domain experts to define product roadmaps and data architectures.
The Product Manager will define and execute the strategic vision and roadmap for Provider Data Products to ensure data accuracy and regulatory compliance. They will act as a bridge between business strategy and technical execution, overseeing the end-to-end delivery of products in partnership with engineering teams.
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You will own the Patient Data Platform strategy and execution, driving the development of normalized data models and integration standards. You will collaborate with engineering, clients, and EHR partners to ensure reliable, secure, and scalable data workflows across the product portfolio.
The Senior Product Manager defines the long-term strategy and vision for a portfolio of enterprise data products supporting various corporate functions. They collaborate with business and technology partners to prioritize investments, track KPIs, and ensure data products deliver measurable business value.
You will define and own the market data strategy, managing it as both a platform capability and a standalone revenue-generating product line. This involves negotiating exchange licensing, building commercial pricing models, and overseeing the development of APIs and data feeds.
The Senior Data Platform Manager will own the product roadmap for data platforms, including the Customer Data Platform, while driving adoption across business units and external clients. They will act as a technical partner to stakeholders and engineering teams to translate business requirements into actionable technical user stories.
Lead innovation teams to identify market opportunities and validate new Big Data product concepts through customer discovery and prototyping. Collaborate with cross-functional teams including data science, engineering, and UX to transform validated ideas into scalable product solutions.
The Senior Manager of Product Management for Data Orchestration leads the planning and execution of capabilities that coordinate and deliver data across Duck Creek products and customer ecosystems. This role partners with cross-functional teams to define scalable orchestration patterns and improve data reliability, observability, and customer value.
You will own the end-to-end lifecycle of vertical datasets, including development, platform delivery, and commercialization strategies. You will also work directly with sales and strategic customers to shape product offerings and drive revenue growth.
You will lead the full lifecycle of ML and LLM platform workstreams, from data ingestion to deployment and optimization. You will also partner with internal stakeholders to define roadmaps and translate complex technical requirements into actionable product features.
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The Product Manager will own the strategy and roadmap for data products that transform financial transaction data into actionable consumer and business insights. They will collaborate with data science and engineering teams to integrate predictive models and ensure the delivery of reliable, scalable data capabilities.
You will own the infrastructure and data center narrative, translating complex technical advantages into clear messaging for diverse audiences. Additionally, you will lead local community engagement initiatives to build trust and support for new data center builds.
Lead the development of unified, AI-native data developer and analytics experiences, including workflow orchestration and practitioner tooling. Partner with engineering and design teams to define product strategy, drive adoption, and ensure platform scalability and reliability.
The Principal Product Manager will own the vision, strategy, and roadmap for enterprise supply chain data products and the semantic layer to power AI-ready decision-making. They will partner with engineering and business stakeholders to build trusted data assets, AI agents, and self-service BI capabilities that drive operational efficiency.
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