Reku
This range is provided by Reku. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $450,000.00/yr - $600,000.00/yr
A
Global leader
is seeking a
visionary SVP of Data and AI
to architect and scale the enterprise data foundation powering the future of content, personalization, and audience intelligence.
This is a
high-impact transformation role
— not about making it better, but about building what’s next. You will design and lead the implementation of next-generation data platforms that fuel intelligence across the enterprise, from content pipelines to advertising optimization to streaming personalization. Your mission: industrialize the flow of data, unify it across the business, and make it universally accessible.
About the Role
Infrastructure & Architecture Development:
Build and scale robust, flexible platforms that can handle petabytes of diverse data.
Platforms & Pipelines for Activation:
Transform data assets into activatable products and services across the enterprise.
AI/ML Enablement:
Drive the company’s AI and machine learning infrastructure strategy, enabling predictive analytics, personalization, and next-gen intelligence.
Transformation Leadership:
Lead the shift from siloed, service-driven teams to a unified, product-focused data organization.
Governance & Security:
Establish enterprise-grade governance, compliance, and security frameworks.
Key Responsibilities
Define and execute long-term enterprise data strategy, ensuring scalability, compliance, and innovation.
Build, manage, and optimize cloud-native warehouses, lakehouses, and API-based delivery.
Partner with business and product leaders to unlock new opportunities in audience intelligence, personalization, and revenue optimization.
Lead and mentor high-performing teams of engineers, scientists, and analytics leaders.
Serve as a trusted advisor on emerging trends in big data, cloud infrastructure, and AI/ML.
Ideal Candidate Profile
10+ years of progressive leadership in data engineering, analytics, and/or machine learning.
Proven success architecting and scaling enterprise data platforms in complex, multi-faceted organizations.
Deep expertise in modern data architecture (data lakes, warehouses, APIs) and AI/ML integration.
Track record of leading cultural and organizational transformation.
Executive presence, with the ability to influence C-suite and board-level stakeholders.
Strong communication and change management skills, translating technical concepts into business impact.
Why Join This is a rare opportunity to
redefine the future of media through data . You’ll lead an enterprise-wide transformation, shape platforms that power the AI-native evolution of entertainment, and directly influence how millions of people discover, engage with, and experience content every day.
Seniority level Executive
Employment type Full-time
Job function Information Technology and Engineering
Industries Software Development and Technology, Information and Media
Benefits
Medical insurance
Vision insurance
401(k)
Paid paternity leave
Paid maternity leave
#J-18808-Ljbffr
Base pay range $450,000.00/yr - $600,000.00/yr
A
Global leader
is seeking a
visionary SVP of Data and AI
to architect and scale the enterprise data foundation powering the future of content, personalization, and audience intelligence.
This is a
high-impact transformation role
— not about making it better, but about building what’s next. You will design and lead the implementation of next-generation data platforms that fuel intelligence across the enterprise, from content pipelines to advertising optimization to streaming personalization. Your mission: industrialize the flow of data, unify it across the business, and make it universally accessible.
About the Role
Infrastructure & Architecture Development:
Build and scale robust, flexible platforms that can handle petabytes of diverse data.
Platforms & Pipelines for Activation:
Transform data assets into activatable products and services across the enterprise.
AI/ML Enablement:
Drive the company’s AI and machine learning infrastructure strategy, enabling predictive analytics, personalization, and next-gen intelligence.
Transformation Leadership:
Lead the shift from siloed, service-driven teams to a unified, product-focused data organization.
Governance & Security:
Establish enterprise-grade governance, compliance, and security frameworks.
Key Responsibilities
Define and execute long-term enterprise data strategy, ensuring scalability, compliance, and innovation.
Build, manage, and optimize cloud-native warehouses, lakehouses, and API-based delivery.
Partner with business and product leaders to unlock new opportunities in audience intelligence, personalization, and revenue optimization.
Lead and mentor high-performing teams of engineers, scientists, and analytics leaders.
Serve as a trusted advisor on emerging trends in big data, cloud infrastructure, and AI/ML.
Ideal Candidate Profile
10+ years of progressive leadership in data engineering, analytics, and/or machine learning.
Proven success architecting and scaling enterprise data platforms in complex, multi-faceted organizations.
Deep expertise in modern data architecture (data lakes, warehouses, APIs) and AI/ML integration.
Track record of leading cultural and organizational transformation.
Executive presence, with the ability to influence C-suite and board-level stakeholders.
Strong communication and change management skills, translating technical concepts into business impact.
Why Join This is a rare opportunity to
redefine the future of media through data . You’ll lead an enterprise-wide transformation, shape platforms that power the AI-native evolution of entertainment, and directly influence how millions of people discover, engage with, and experience content every day.
Seniority level Executive
Employment type Full-time
Job function Information Technology and Engineering
Industries Software Development and Technology, Information and Media
Benefits
Medical insurance
Vision insurance
401(k)
Paid paternity leave
Paid maternity leave
#J-18808-Ljbffr