VP, Product Management

Uniphore is the Business AI company. Our sovereign, composable and secure AI platform connects enterprise data, fine-tunes AI models and deploys agentic AI across the enterprise. We empower every worker to boost productivity and help businesses grow faster, operate smarter and reduce costs. Trusted by more than 2,000 businesses globally, and recognized on the Deloitte Fast 500, Uniphore delivers on the promise of AI as a transformative force for business. Job Description:   Job Description: VP, Product Management 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.    Drive the adoption of modern data management practices, including data labeling, feature engineering, and real-time data streaming for AI within   Uniphore   and supporting sales during customer interactions.    Partner with data scientists and engineers to define requirements and   participate…