VP, Data Product Management

Uniphore is one of the largest B2B AI-native companies—decades-proven, built-for-scale and designed for the enterprise. The company drives business outcomes, across multiple industry verticals, and enables the largest global deployments.  
  
Uniphore infuses AI into every part of the enterprise that impacts the customer. We deliver the only multimodal architecture centered on customers that combines Generative AI, Knowledge AI, Emotion AI, workflow automation and a co-pilot to guide you. We understand better than anyone how to capture voice, video and text and how to analyze all types of data.  
  
As AI becomes more powerful, every part of the enterprise that impacts the customer will be disrupted. We believe the future will run on the connective tissue between people, machines and data: all in the service of creating the most human processes and experiences for customers and employees.   

Job Description:
 

The Vice President of Data Products is responsible for overseeing the vision, strategy, and execution of the company’s data platforms. Our data platforms play multiple roles, including: 

• As internal capabilities, they power our GenAI stack (access, transform, and supply for GenAI model training data), our CDP product and our applications 

• As customer-facing products, they provide Zero-ETL access to Enterprise data and a rich suite of capabilities to connect, clean, orchestrate and operationalize data  

Our Zero Data AI Cloud, positioned around the concept of being able to leverage Enterprise data more quickly and flexibly than any other approach, is anchored on this suite of data platforms that this role will inherit and expand.  

This is the GM of the Data Product business and ensures the development and delivery of innovative data products and solutions that align with business objectives, enhance decision-making and create competitive advantages. The VP leads cross-functional teams to design, build, and maintain scalable data products, deliver on revenue goals, and while fostering a data-driven culture. 

Key Responsibilities 

Strategic Leadership 

• Define and execute the strategic roadmap for data platforms, aligning with the company’s business goals, financial outcomes,  and customer needs. 

• Develop and execute a data readiness strategy to support internal activities  aligned with thewhich align with the Engineering and AI  organization's architecture approaches and andsupport  Customer discovery and insights from their’s AI goals. 

• Collaborate with executive leadership to identify and prioritize data innovation, AI use cases, and monetization that require high-quality, accessible, and reliable data products. 

• Build and communicate a vision for how data products can deliver business value and drive growth. 

AI Data Readiness 

• Ensure that all data platforms provide robust capabilities, assets are for cleaning, annotated, structured, and optimized for AI and machine learning purposes.