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- Tasks: Lead the strategy for a unified data orchestration platform, enhancing data pipelines and governance.
- Company: Workato simplifies tech complexity, empowering businesses to streamline operations with an AI-powered platform.
- Benefits: Enjoy a flexible culture, vibrant work environment, and numerous perks for work-life balance.
- Why this job: Join a fast-growing company recognized by Forbes and Business Insider for innovation and remote work excellence.
- Qualifications: 10+ years in product management, expertise in data orchestration, and strong leadership skills required.
- Other info: Opportunity to drive AI-powered innovation and collaborate with cross-functional teams.
The predicted salary is between 72000 - 108000 £ per year.
Director Product Manager (Data Orchestration and Insights)
About Workato
Workato makes the creation and implementation of automations 10X faster than traditional platforms. As the leader in AI-powered enterprise automation, we enable enterprises to automate their business processes across the organization by integrating their applications, data, and experiences.
Job Description
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.
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!
As Director Product Manager, you will define and execute the strategy to establish Workato as the enterprise leader in data orchestration. Your goal is 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.
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.
- 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.
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Director Product Manager (Data Orchestration and Insights) employer: Workato
Contact Detail:
Workato Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Director Product Manager (Data Orchestration and Insights)
✨Tip Number 1
Familiarize yourself with the latest trends in data orchestration and management. Understanding tools like DBT, Coalesce, and orchestration frameworks such as Airflow or Dagster will give you a competitive edge during discussions.
✨Tip Number 2
Showcase your leadership experience in cross-functional teams. Be prepared to discuss specific examples where you've influenced product strategy and driven execution in fast-paced environments.
✨Tip Number 3
Highlight your knowledge of AI and machine learning integration in data products. Discuss how you've used these technologies to enhance data quality and operational intelligence in previous roles.
✨Tip Number 4
Prepare to demonstrate your customer-centric approach. Be ready to share insights on how you've translated complex technical concepts into user-friendly product capabilities that meet customer needs.
We think you need these skills to ace Director Product Manager (Data Orchestration and Insights)
Some tips for your application 🫡
Understand the Company Culture: Before applying, take some time to understand Workato's culture and values. Highlight how your personal values align with their emphasis on flexibility, trust, and innovation in your application.
Tailor Your Resume: Make sure your resume reflects your experience in product management, especially in SaaS or B2B environments. Emphasize your expertise in data orchestration, ETL, ELT, and any relevant tools you've worked with.
Craft a Compelling Cover Letter: In your cover letter, discuss specific examples of how you've successfully led cross-functional teams and driven product strategy. Mention any AI-driven projects you've been involved in, as this is a key focus for Workato.
Showcase Your Analytical Skills: Demonstrate your analytical and data-driven decision-making abilities in your application. Provide examples of how you've used customer research and data analytics to inform product decisions in previous roles.
How to prepare for a job interview at Workato
✨Showcase Your Leadership Experience
As a Director Product Manager, your leadership skills are crucial. Be prepared to discuss specific examples of how you've led cross-functional teams and influenced product strategy in fast-paced environments.
✨Demonstrate Your Data Expertise
Highlight your deep understanding of data orchestration, ETL, ELT, and data activation pipelines. Be ready to discuss your experience with tools like DBT and Coalesce, as well as your knowledge of modern data architecture.
✨Emphasize AI Integration Skills
Since the role involves leveraging AI for data management, share your experiences integrating AI/ML-driven insights into products. Discuss how you've used predictive analytics and anomaly detection to enhance data quality.
✨Prepare for Customer-Centric Discussions
Be ready to talk about how you understand customer needs across various teams. Provide examples of how you've translated complex technical concepts into user-friendly product capabilities that drive enterprise adoption.
