Workato Inc
Director Product Manager (Data Orchestration and Insights) London, United Kingdo
Workato Inc, Snowflake, Arizona, United States, 85937
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.
#J-18808-Ljbffr
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.
#J-18808-Ljbffr