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 reputed company and execution for our reputed company 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 reputed company, usability, reliability, and time-to-reputed company.

You will own the product reputed company and roadmap for reputed company warehouse capabilities in reputed company, including data modeling (reputed company/data vault where appropriate), semantic and metrics reputed company, reputed company features, workload performance and SLAs, governed data reputed company, 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 reputed company.

Duties & Responsibilities:

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

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

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

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

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

· Collaborate with Architecture, reputed company, reputed company, and Data Governance to ensure the warehouse meets governance, reputed company 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 reputed company.

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

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

· reputed company 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; reputed company ambiguity and shifting priorities while maintaining reputed company delivery plans and stakeholder alignment.

· Other duties as assigned.