Director Product Manager (Data Orchestration and Insights)

2 Hours ago • 7 Years + • ~ $250,000 PA

Job Summary

Job Description

The Director of Product Manager (Data Orchestration and Insights) role involves leading product strategy and execution for a unified data orchestration platform. Responsibilities include developing data ingestion, movement, and activation capabilities across various data formats, ensuring end-to-end data governance and operations, and driving AI-powered innovation. The role requires collaboration with engineering, UX, and go-to-market teams and acting as a thought leader to drive customer trust and adoption. This position involves deep expertise in data management, orchestration, and platform expertise, including real-time data movement, databases, and cloud analytics platforms, and requires customer-centric execution, analytical skills, and a relevant educational background. The overall objective is to transform technology complexity into business opportunity.
Must have:
  • 7+ years of product management experience in SaaS or B2B.
  • Deep expertise in ETL, ELT, and Reverse ETL pipelines.
  • Strong understanding of modern data architecture.
  • Experience with data transformation and orchestration tools.
  • Knowledge of real-time data movement and databases.
  • Strong background in cloud platforms and data ecosystems.
Good to have:
  • Experience integrating AI/ML-driven insights.
  • Deep knowledge of data security and compliance best practices.
  • Experience embedding data lineage tracking.
  • Strong ability to use customer research.
  • An MBA or advanced degree.

Job Details

About Workato

Workato transforms technology complexity into business opportunity. As the leader in enterprise orchestration, Workato helps businesses globally streamline operations by connecting data, processes, applications, and experiences. Its AI-powered platform enables teams to navigate complex workflows in real-time, driving efficiency and agility.

Trusted by a community of 400,000 global customers, Workato empowers organizations of every size to unlock new value and lead in today’s fast-changing world. Learn how Workato helps businesses of all sizes achieve more at workato.com.

Why join us?

Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company. 

But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. 

If this sounds right up your alley, please submit an application. We look forward to getting to know you!

Also, feel free to check out why:

  • Business Insider named us an “enterprise startup to bet your career on”

  • Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world

  • Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America

  • Quartz ranked us the #1 best company for remote workers

What You’ll Do

Leadership in Enterprise Data Orchestration

  • 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.

Build End-to-End Governance & Operations

  • Embed data quality, lineage, governance, and operational analytics as core platform features, ensuring enterprises have built-in compliance and data integrity controls.
  • Develop native observability and automation tools to monitor pipeline performance, detect anomalies, and proactively enforce data governance policies.
  • Ensure the platform meets enterprise security, compliance, and scalability requirements, making Workato the go-to orchestration solution for large-scale deployments.

Drive AI-Powered Innovation

  • Leverage AI to enhance data classification, transformation recommendations, and self-healing pipelines that minimize operational overhead.
  • Integrate predictive analytics and semantic enrichment to automate data mapping, improve pipeline efficiency, and surface actionable insights.
  • Work with AI research teams to infuse machine learning into Workato’s data services, driving continuous optimization and smarter decision-making.

Advanced Data Virtualization & Analytics

  • Architect a self-service data virtualization platform that provides a self service experience, enabling users to explore and analyze data from third-party apps, data warehouses, data lakes, Workato usage data, and custom datasets in real time.
  • Develop interactive dashboards and AI-powered analytics that empower businesses to make data-driven decisions without deep technical expertise.
  • Ensure seamless cross-platform data integration to unify enterprise data landscapes and drive deeper insights.

   Lead Cross-Functional Execution

  • Collaborate with engineering, UX, and go-to-market teams to ensure seamless feature adoption.
  • Act as a thought leader internally and externally, driving customer trust and enterprise adoption.

Who you are

Leadership & Product Management

  • 7+ years of product management experience in SaaS or B2B 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.

Data Orchestration & Platform Expertise

  • Deep expertise in ETL, ELT, Reverse ETL, and data activation pipelines.
  • Strong understanding of modern data architecture, including data lakes, data warehouses, 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, BigQuery).
  • 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.

AI & Intelligent Data Automation

  • 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.

Security, Governance & Observability

  • 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.

Customer-Centric Execution

  • 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.

Analytical & Data-Driven Decision Making

  • 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.

Educational Background

  • Bachelor’s Degree in Computer Science, Engineering, Data Science, or a related field.
  • An MBA or advanced degree is a plus but not required.

 

Our target compensation is around $250,000 USD plus stock options, but the final package will depend on the interview process. We're open to negotiation and committed to aligning with the salary expectations.

(REQ ID: 1733)

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About The Company

Workato empowers enterprises to transform their business operations by orchestrating business processes end-to-end and operationalizing AI across the entire organization. Designed with best-in-class security and governance, scalability, performance, and availability, Workato’s low-code, no-code platform makes it easy for IT and business teams to orchestrate their applications, data, and experiences.


With our democratized approach to enterprise orchestration, business technologists are empowered to fuel their organization’s digital transformation. Workato is trusted by over 20,000 of the world's top brands, including Broadcom, Intuit, and Box.

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