Back
Tier-1 brand and product manager title increase competition, but senior data-platform specialization narrows qualified pool.
Role requires deep data platform experience and regulated-environment familiarity, limiting cross-industry transferability.
Explicit 8+ years requirement plus mandatory data platform, ETL, cloud and tooling experience raises filtering strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own and execute product strategy for a unified data publishing and processing platform integrating ingestion, transformation, quality, orchestration, catalog, entitlement, and observability capabilities.
Lead full product lifecycle from discovery, roadmap prioritization, launch to continuous improvement, measured by metrics like time-to-publish, error rates, adoption, and cost per dataset.
Partner across engineering, governance, SRE, and business to deliver reusable, AI-powered, zero-touch onboarding and self-service publishing solutions at enterprise scale.
8+ years product management or adjacent experience in data platforms/analytics/cloud with successful platform capability delivery at scale.
Hands-on experience with ETL/ELT tools and frameworks like Informatica, dbt, Spark/PySpark, SQL, Databricks for batch and streaming workloads.
Working knowledge of modern data lake/lakehouse tech (Iceberg/Delta/Hudi) and orchestration (Airflow) plus cloud-native data processing on AWS/Azure/GCP.
Work Experience Required: 8+ years in relevant product management or adjacent roles. No explicit degree requirement mentioned.
Experienced strategic product leader comfortable navigating complex, matrixed environments and driving end-to-end platform delivery in large enterprises.
Strong technical understanding of modern data engineering, lakes/lakehouses, processing frameworks, and cloud ecosystems with ability to translate customer needs into scalable platform solutions.
Skilled at cross-functional collaboration with engineering, governance, and business teams to balance performance, security, compliance and cost in data platform products.