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Tier-1 brand and metro location increase competition, but senior specialized data-platform requirements limit applicant pool.
Requires specialized data-platform, cloud, and regulated-environment experience reducing cross-industry transferability.
Explicit 8+ years, domain-specific data platform experience, and mandatory cloud/ETL skills create strict filters.
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Own and execute product strategy for a unified data publishing and processing platform serving thousands of users across ingestion, transformation, quality, orchestration, and delivery.
Lead end-to-end product lifecycle: discovery, roadmap prioritization, launch, continuous improvement, focusing on measurable success metrics like time-to-publish, error rates, and cost per dataset.
Partner cross-functionally with engineering, governance, and business teams to deliver reusable, AI-powered, scalable publishing solutions with strong platform capabilities including onboarding, data quality, catalog integration, and observability.
8+ years product management or related experience in data platforms, analytics or cloud environments with track record of shipping scalable platform capabilities.
Experience with ETL/ELT tools (Informatica, Spark/PySpark, dbt, SQL), data lake/lakehouse technologies (Iceberg, Delta, Hudi), and orchestration (Airflow/MWAA).
Hands-on knowledge of cloud-native/serverless data processing on AWS/Azure/GCP (Glue, EMR, Databricks) and cost-performance optimization.
Work Experience Required: 8+ years in relevant domains
Strong expertise in modern data platform technologies, including metadata/catalog integration, data governance, contracts-as-code, and semantic lineage.
Experience leading platform products with a focus on measurable impact (time-to-publish, error rates, cost efficiency) and stakeholder management in complex, matrixed environments.
Background in regulated industries or large scale enterprise data platform deliveries, especially with security, privacy, and compliance considerations.