Workato Inc
Director Product Manager (Data Orchestration and Insights) Palo Alto, California
Workato Inc, Snowflake, Arizona, United States, 85937
Director Product Manager (Data Orchestration and Insights) 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.
Scroll down to find an indepth overview of this job, and what is expected of candidates Make an application by clicking on the Apply button. 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
10+ 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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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.
Scroll down to find an indepth overview of this job, and what is expected of candidates Make an application by clicking on the Apply button. 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
10+ 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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