Director Product Manager (Data Orchestration and Insights) London, United Kingdom

Make your application after reading the following skill and qualification requirements for this position. 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. 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. If this sounds right up your alley, please submit an application. We look forward to getting to know you! 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). Define and prioritize built-in transformation capabilities and integrations with tools like DBT and Coalesce . 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 . Develop native observability and automation tools to monitor pipeline performance and enforce data governance policies. Ensure the platform meets enterprise security, compliance, and scalability requirements . Drive AI-Powered Innovation Leverage AI to enhance data classification, transformation recommendations, and self-healing pipelines . Integrate predictive analytics and semantic enrichment to automate data mapping and improve pipeline efficiency. Work with AI research teams to infuse machine learning into Workato’s data services. Advanced Data Virtualization & Analytics Architect a self-service data virtualization platform that provides a self-service experience . Develop interactive dashboards and AI-powered analytics that empower businesses to make data-driven decisions. Ensure seamless cross-platform data integration . 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. Who you are: Leadership & Product Management 10+ years of product management experience in SaaS or B2B environments. Proven success in shipping and scaling complex data products. Strong track record in leading cross-functional teams . Data Orchestration & Platform Expertise Deep expertise in ETL, ELT, Reverse ETL, and data activation pipelines . Strong understanding of modern data architecture . Experience with data transformation tools and orchestration frameworks . Knowledge of real-time data movement and cloud analytics platforms . Security, Governance & Observability Deep knowledge of data security, compliance, and governance best practices. Experience embedding data lineage tracking and operational analytics . Customer-Centric Execution Ability to deeply understand customer needs . Proven ability to translate complex technical concepts . Analytical & Data-Driven Decision Making Strong ability to use customer research, data analytics, and competitive insights . 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. Apply for this job First Name * Last Name * Email * Phone Resume/CV * LinkedIn Profile * Are you authorized to work in the UK for any employer? * Select... Your work authorization status in the UK? * Will you now or in the future require visa sponsorship? * Select... Where are you currently located? * What is your expected compensation? * Do you have relevant experience with Data Warehouse, Data Lake, Reverse ETL, MDM, and other data management patterns? * Why do you think you will be successful in this role? * Please address how you meet the requirements stated above by sharing relevant experience, skill sets and knowledge.

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