Director Product Management - Data Orchestration & Insights

Our client is the leader in enterprise orchestration. Their AI-powered platform enables enterprise customers to navigate complex workflows in real-time, driving efficiency and streamlining operations by connecting data, processes, applications, and experiences.

As Director Product Manager, you will define and execute the strategy to build a unified platform that seamlessly orchestrates data pipelines for ETL, ELT, and Reverse ETL (data activation)—eliminating the need for fragmented tools and enabling enterprises to move data efficiently across their ecosystem.

• Bachelor’s Degree in Computer Science, Engineering, Data Science, or a related field. A Master's degree is a plus but not required.
• 10+ years of product management in B2B SaaS environments, specializing in data management, data orchestration, or infrastructure products.
• Proven success in shipping and scaling complex data products with measurable business impact.
• Strong track record in leading cross-functional teams, influencing product strategy, and driving execution in fast‑paced environments.
• Deep expertise in ETL, ELT, Reverse ETL, and data activation pipelines.
• Strong understanding of modern data architecture, including data lakes, data warehouses, and structured and semi‑structured data processing.
• Experience with data transformation tools (DBT, Coalesce) and orchestration frameworks (Airflow, Dagster) to build scalable pipelines.
• Knowledge of real‑time data movement, databases (Oracle, SQL Server, PostgreSQL), and cloud analytics platforms (Snowflake, Databricks, Big Query).
• Familiarity with emerging data technologies like Open Table Format, Apache Iceberg, and their impact on enterprise data strategies.
• Hands‑on experience with data virtualization and analytics platforms (Denodo, Domo) to enable seamless self‑service data exploration and analytics.
• Strong background in cloud platforms (AWS, Azure, Google Cloud) and their data ecosystems.
• Experience integrating AI/ML-driven insights into data management products to enhance data quality, lineage tracking, and transformation recommendations.
• Strong understanding of predictive analytics, anomaly detection, and semantic data enrichment for operational intelligence.
• Deep knowledge of data security, compliance, and governance best practices for enterprise data platforms.
• Experience embedding data lineage tracking, data quality validation, and operational analytics as core product functionalities.
• Strong expertise in real‑time observability, automation, and performance monitoring for data pipelines.
• Ability to deeply understand customer needs across data engineering, analytics, and business intelligence teams.
• Proven ability to translate complex technical concepts into intuitive, user‑friendly product capabilities.
• Skilled at collaborating with engineering, UX, security, legal, and go‑to‑market teams to drive enterprise adoption.
• Strong ability to use customer research, data analytics, and competitive insights to inform product decisions.
• Experience analyzing large‑scale data platforms to optimize usage trends and pipeline performance.

• Develop and execute the product strategy for a unified data orchestration platform supporting ETL, ELT, and Reverse ETL (data activation) across SaaS, data warehouses, data lakes, and custom sources.
• Define and prioritize built‑in transformation capabilities and integrations with tools like DBT and Coalesce to scale ELT pipelines efficiently.
• Ensure seamless data ingestion, movement, and activation across structured, semi‑structured, and unstructured data formats.
• Embed data quality, lineage, governance, and operational analytics as core platform features, ensuring enterprises have built‑in compliance and data integrity controls.
• Develop…