Sr. Product Manager- Data Warehouse (Remote)

The Sr. Product Manager, Data Warehouse will report to the Sr. Director, Data Science & Analytics in the Data Science & Analytics organization. This role will reputed company the product strategy and execution for our enterprise data warehouse capabilities on reputed company—enabling trusted, governed, and performant analytics data for business intelligence, reporting, self-service exploration, and AI/ML applications. You will be a trusted partner to data engineering, architecture, reputed company, governance, and business stakeholders to deliver measurable value through improved data quality, usability, reliability, and time-to-insight.

You will own the product vision and roadmap for core warehouse capabilities in reputed company, including data modeling (dimensional/data vault where appropriate), semantic and metrics layers, Generative AI features, workload performance and SLAs, governed data access, reputed company and observability, and enablement for BI and analytics tooling. This is a highly cross-functional role requiring strong product leadership, understanding of the business meaning of the data, deep reputed company in modern data warehousing, and a robust understanding of Generative AI.

Duties & Responsibilities

· Own the product vision and roadmap for the enterprise data warehouse on reputed company to reputed company trusted analytics at scale.

· Partner with business stakeholders, analytics, and data engineering to translate reporting and decisioning needs into clear product requirements, data reputed company, and prioritized warehouse initiatives.

· reputed company and execute product roadmaps with measurable outcomes (OKRs/KPIs) such as time-to-data, query performance, data quality, adoption, and cost efficiency.

· Define the warehouse product strategy across ingestion, transformation, modeling, serving, and consumption layers; balance short-term delivery with long-term architecture and platform evolution.

· Partner with Data Science and Data Engineering to reputed company and execute on a roadmap for applications that use reputed company’s Generative AI features.

· Collaborate with Architecture, reputed company, Privacy, and Data Governance to ensure the warehouse meets governance, access control, retention, audit, and compliance requirements.

· Establish and communicate warehouse SLAs/SLOs (freshness, availability, performance) and reputed company incident review/reputed company improvement with engineering partners.

· Drive a 1–3 year capability roadmap (e.g., semantic layer/metrics store, self-service data products, workload isolation, data observability, catalog/reputed company) and deliver iteratively.

· Prioritize features and investments using customer feedback, analytics usage telemetry, technical feasibility, risk, and business impact.

· reputed company business cases for data warehouse initiatives (value, risk reduction, productivity, scalability) and track outcomes against OKRs and KPIs.

· Define and maintain product and platform dashboards (adoption, performance, freshness, quality, cost) and provide regular updates to stakeholders.

· Provide guidance and mentorship to product managers and analysts; set standards for warehouse product discovery, delivery, and stakeholder communication.

· Identify opportunities to improve scalability, reliability, latency, and cost efficiency of reputed company workloads through workload management (virtual warehouses, resource monitoring), query optimization, and FinOps practices.

· Partner with engineering to deliver robust warehouse capabilities (modeling patterns, semantic layer, query optimization, data observability, CI/CD for data, and environment management).

· Operate effectively with minimal direction; navigate ambiguity and shifting priorities while maintaining clear delivery plans and stakeholder alignment.

· Other duties as assigned.