{"schemaVersion":"jobsearcher.job.v1","id":"bfe2b0cbe0f12a926f8c5a02","url":"https://jobsearcher.com/jobs/bfe2b0cbe0f12a926f8c5a02","canonicalUrl":"https://jobsearcher.com/jobs/bfe2b0cbe0f12a926f8c5a02","title":"Product Manager - Analytics","description":"Position Overview\r\nAs a Product Manager at Ordway Labs, you will play a critical role in defining, developing, and managing all the analytics and reporting needs of Ordway billing and finance platform. You will collaborate with cross-functional teams to drive product innovation, ensure market fit, and deliver value to our customers. This role requires a strategic thinker with a strong understanding of product management principles and a passion for creating exceptional software solutions.\r\nKey Responsibilities\r\nProduct Strategy & Roadmap\r\nDefine and own the analytics product roadmap, aligning it with company data strategy and business priorities.\r\nTranslate business intelligence needs into well-scoped, prioritized product requirements for dashboards, pipelines, and AI-powered analytics tools.\r\nIdentify opportunities to leverage NLP, LLM-based agents, and intelligent automation to improve analytics workflows.\r\nDrive alignment across stakeholders — from data engineers and architects to executives and business unit leads.\r\nDiscovery & Requirements\r\nConduct user research with business analysts, finance, operations, and leadership to surface unmet analytics needs.\r\nAuthor clear PRDs and user stories that data engineers, BI developers, and architects can act on immediately.\r\nDefine acceptance criteria for SQL-driven reports, ETL pipeline outputs, and data warehouse deliverables.\r\nPartner with Analytics Architects to evaluate build-vs-buy decisions for data warehouse platforms (Snowflake, ClickHouse, Redshift) and visualization tools (Tableau, Power BI, Looker).\r\nAI & Intelligent Analytics\r\nOwn the product vision for NLP-based analytics interfaces, conversational BI agents, and LLM-powered data tools.\r\nDefine use cases for AI/ML integration — including document understanding, anomaly detection, and intelligent automation in analytics workflows.\r\nCollaborate with engineers to evaluate and integrate LLM-based features into existing analytics products (e.g., natural language querying, AI-generated summaries).\r\nSet guardrails for AI-generated insights — defining quality thresholds, evaluation metrics, and user-facing explainability requirements.\r\nDelivery & Execution\r\nManage the analytics product backlog, running sprint planning, grooming, and retrospectives with data and engineering teams.\r\nDefine KPIs and success metrics for all analytics features and track adoption, performance, and business impact post-launch.\r\nOversee dashboard and visualization delivery, ensuring reports meet performance, usability, and governance standards.\r\nChampion documentation standards for data products, pipelines, and analytics architectures.\r\nCross-Functional Collaboration\r\nServe as the bridge between technical data teams and non-technical business stakeholders.\r\nPartner with Data Governance teams to ensure compliance, security, and data quality standards are embedded in product decisions. Support go-to-market efforts for analytics tools, including training, enablement, and change management.\r\nQualifications\r\nRequired\r\n5+ years of product management experience, with at least 2–3 years focused on data, analytics, or BI products.\r\nStrong SQL literacy — able to read, interpret, and review complex queries; comfortable discussing query optimization and data modeling trade-offs.\r\nHands-on familiarity with data warehouse platforms such as Snowflake, Redshift, or ClickHouse.\r\nExperience managing BI/visualization products — Tableau, Power BI, Looker, or similar.\r\nWorking knowledge of ETL/ELT concepts and data pipeline architectures.\r\nDemonstrated ability to write PRDs and user stories for data-intensive, technically complex products.\r\nExperience defining metrics and success criteria for analytics features and data products.\r\nStrong facilitation and communication skills — ability to run discovery workshops, present roadmaps, and manage stakeholder expectations at all levels.\r\nPreferred\r\nPython familiarity — able to read scripts and understand data transformation logic, even if not writing production code.\r\nExperience with real-time or streaming data products (Kafka, Spark) from a product ownership perspective.\r\nFamiliarity with cloud data platforms (AWS, Azure, GCP) and associated managed analytics services.\r\nExperience with AI/ML-enabled product features — defining, launching, and evaluating models or LLM-based capabilities in production.\r\nExposure to LLM applications (copilots, intelligent search, document understanding) particularly in finance or accounting contexts.\r\nBackground in data governance, compliance, or data quality programs.\r\nExperience mentoring teams or running a center-of-excellence for analytics best practices.\r\nJoin Ordway Labs and be a part of an innovative team dedicated to building transformative solutions for businesses worldwide. If you are a passionate and experienced Product Manager looking for a challenging and rewarding opportunity, we want to hear from you.\r\nJ-18808-Ljbffr","company":"Socket","rawCompany":"socket","city":"Washington","state":"DC","isRemote":false,"isActive":false,"createdAt":"2026-08-02T01:45:38.562Z","occupations":[{"code":"15-2051.01","title":"Business Intelligence Analysts","slug":"business-intelligence-analysts"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Product Manager - Analytics","description":"Position Overview\r\nAs a Product Manager at Ordway Labs, you will play a critical role in defining, developing, and managing all the analytics and reporting needs of Ordway billing and finance platform. You will collaborate with cross-functional teams to drive product innovation, ensure market fit, and deliver value to our customers. This role requires a strategic thinker with a strong understanding of product management principles and a passion for creating exceptional software solutions.\r\nKey Responsibilities\r\nProduct Strategy & Roadmap\r\nDefine and own the analytics product roadmap, aligning it with company data strategy and business priorities.\r\nTranslate business intelligence needs into well-scoped, prioritized product requirements for dashboards, pipelines, and AI-powered analytics tools.\r\nIdentify opportunities to leverage NLP, LLM-based agents, and intelligent automation to improve analytics workflows.\r\nDrive alignment across stakeholders — from data engineers and architects to executives and business unit leads.\r\nDiscovery & Requirements\r\nConduct user research with business analysts, finance, operations, and leadership to surface unmet analytics needs.\r\nAuthor clear PRDs and user stories that data engineers, BI developers, and architects can act on immediately.\r\nDefine acceptance criteria for SQL-driven reports, ETL pipeline outputs, and data warehouse deliverables.\r\nPartner with Analytics Architects to evaluate build-vs-buy decisions for data warehouse platforms (Snowflake, ClickHouse, Redshift) and visualization tools (Tableau, Power BI, Looker).\r\nAI & Intelligent Analytics\r\nOwn the product vision for NLP-based analytics interfaces, conversational BI agents, and LLM-powered data tools.\r\nDefine use cases for AI/ML integration — including document understanding, anomaly detection, and intelligent automation in analytics workflows.\r\nCollaborate with engineers to evaluate and integrate LLM-based features into existing analytics products (e.g., natural language querying, AI-generated summaries).\r\nSet guardrails for AI-generated insights — defining quality thresholds, evaluation metrics, and user-facing explainability requirements.\r\nDelivery & Execution\r\nManage the analytics product backlog, running sprint planning, grooming, and retrospectives with data and engineering teams.\r\nDefine KPIs and success metrics for all analytics features and track adoption, performance, and business impact post-launch.\r\nOversee dashboard and visualization delivery, ensuring reports meet performance, usability, and governance standards.\r\nChampion documentation standards for data products, pipelines, and analytics architectures.\r\nCross-Functional Collaboration\r\nServe as the bridge between technical data teams and non-technical business stakeholders.\r\nPartner with Data Governance teams to ensure compliance, security, and data quality standards are embedded in product decisions. Support go-to-market efforts for analytics tools, including training, enablement, and change management.\r\nQualifications\r\nRequired\r\n5+ years of product management experience, with at least 2–3 years focused on data, analytics, or BI products.\r\nStrong SQL literacy — able to read, interpret, and review complex queries; comfortable discussing query optimization and data modeling trade-offs.\r\nHands-on familiarity with data warehouse platforms such as Snowflake, Redshift, or ClickHouse.\r\nExperience managing BI/visualization products — Tableau, Power BI, Looker, or similar.\r\nWorking knowledge of ETL/ELT concepts and data pipeline architectures.\r\nDemonstrated ability to write PRDs and user stories for data-intensive, technically complex products.\r\nExperience defining metrics and success criteria for analytics features and data products.\r\nStrong facilitation and communication skills — ability to run discovery workshops, present roadmaps, and manage stakeholder expectations at all levels.\r\nPreferred\r\nPython familiarity — able to read scripts and understand data transformation logic, even if not writing production code.\r\nExperience with real-time or streaming data products (Kafka, Spark) from a product ownership perspective.\r\nFamiliarity with cloud data platforms (AWS, Azure, GCP) and associated managed analytics services.\r\nExperience with AI/ML-enabled product features — defining, launching, and evaluating models or LLM-based capabilities in production.\r\nExposure to LLM applications (copilots, intelligent search, document understanding) particularly in finance or accounting contexts.\r\nBackground in data governance, compliance, or data quality programs.\r\nExperience mentoring teams or running a center-of-excellence for analytics best practices.\r\nJoin Ordway Labs and be a part of an innovative team dedicated to building transformative solutions for businesses worldwide. If you are a passionate and experienced Product Manager looking for a challenging and rewarding opportunity, we want to hear from you.\r\nJ-18808-Ljbffr","datePosted":"2026-08-02T01:45:38.562Z","dateModified":"2026-08-02T01:45:38.562Z","hiringOrganization":{"@type":"Organization","name":"Socket","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Washington","addressRegion":"DC","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"bfe2b0cbe0f12a926f8c5a02"},"url":"https://jobsearcher.com/jobs/bfe2b0cbe0f12a926f8c5a02"}}