Vp, Data Product Management

VP, Data Product Management

VP, Data Product Management Apply locations USA - CA - Palo Alto time type Full time posted on Posted 2 Days Ago job requisition id JR100400

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.

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. 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 foster 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 the Engineering and AI organization's architecture approaches and support customer discovery and insights from their 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 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 with Engineering and Architecture teams in designing scalable AI pipelines and MLOps workflows. Product Management for Data Platforms Lead the high-level design and collaborate with AI Engineering and Data Engineering Leadership, define development, and deployment of scalable user-centric data products and platforms. Prioritize product features and enhancements based on customer feedback, market trends, and business needs for monetization. Ensure the use of best practices in data science, analytics, and engineering in product design. Oversee the creation and deployment of data products, including training datasets, feature stores, and synthetic data generation tools, that enable AI innovation. Team Leadership Build, mentor, and lead a multidisciplinary team of product managers, data engineers, and AI specialists. Foster collaboration across engineering, design, sales, marketing, and other departments. Promote a culture of continuous learning, experimentation, and data-driven decision-making. Create a collaborative culture that bridges data engineering, product development, and AI research teams. Develop skill-building programs to keep the team up-to-date with the latest AI and data trends. Technology & Infrastructure Partner with engineering teams to ensure seamless integration of data products – data lakes, warehouse, AI-specific data pipelines existing systems. Stay informed on emerging technologies and trends in big data, AI/ML, and analytics. Champion the products of AI-ready technologies such as automated data labeling tools, data versioning systems, and explainable AI frameworks. Evaluate and incorporate emerging technologies to enhance data readiness for AI, such as synthetic data platforms or edge AI solutions. Governance & Compliance Ensure data products adhere to global regulations (e.g., GDPR, CCPA) and ethical AI standards. Enforce governance policies for data quality, lineage, and versioning critical for AI integrity. Collaborate with legal and compliance teams to manage risks associated with sensitive or biased data during the product development and sales process. Qualifications Education & Experience Bachelor's degree in Computer Science, Data Science, AI, or a related field; Master's degree in Databases or Machine learning technology and PhD would be ideal or MBA preferred. 10+ years of experience in data product management, AI, or analytics, with at least 5 years in a senior leadership role. Proven track record of delivering successful data products at scale which includes AI-driven data product development and readiness initiatives. Technical Skills Strong understanding of data platforms, analytics tools, and machine learning technologies. Database architectures, including query systems, query optimization, and query languages. Data storage including table formats such as Iceberg and Delta Lake, and cloud storage technologies. Machine Learning including basic ML algorithms, ML development lifecycle, and use cases of different ML techniques in the enterprise. Understanding of ML tools and their deployment in Enterprises, such as Spark, Python, Jupyter Notebook, and Gen AI tools. Deep understanding of Enterprise Data Management, including technologies like Databases, MDM, ETL/Data Orchestration/Data Annotation. Logical/Physical schemas, views, replication techniques, and architectures such as EDWs, Data Marts, Data Lakes. Governance concepts such as data security, data sovereignty, and data privacy. Direct experience with Data Warehousing design/deployment/management in an enterprise environment a plus. Expertise in product management frameworks and agile development methodologies. Excellent communication and stakeholder management skills. Ability to balance strategic vision with operational execution. Soft Skills Strong leadership and people management capabilities. Innovative mindset with a customer-centric approach. Ability to manage competing priorities in a fast-paced environment. Strategic thinker with strong problem-solving and decision-making capabilities. Excellent communication and stakeholder management skills. Key Metrics for Success Revenue growth or cost savings driven by data products. Product adoption rates and customer satisfaction scores. Time-to-market for new product features. Data quality and compliance metrics. Innovation-driven differentiation versus competition. This role typically involves working in sectors where data is a critical asset, such as technology, finance, healthcare, or e-commerce. The ideal candidate combines technical expertise with business acumen and visionary leadership.

Why Join Uniphore? Opportunity to shape and lead global delivery at a fast-growing, AI-native company. A collaborative, innovative culture that values customer success and teamwork. Competitive compensation, benefits, and opportunities for professional growth. Hiring Range: $235,700 - $294,600 - for Primary Location of USA - CA - Palo Alto

The specific rate will depend on the successful candidate's qualifications and prior experience.

In addition to competitive base pay, this position also includes an annual incentive opportunity based on target achievement, pre-IPO stock options, benefits including medical, dental, vision, 401(k) with a match, and more, plus generous paid time off, paid holidays, and other paid leave policies to support employees through all phases of life.

Location preference: USA - CA - Palo Alto

Uniphore is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.

For more information on how Uniphore uses AI to unify—and humanize—every enterprise experience, please visit www.uniphore.com.

About Us At Uniphore, we are building the defining Enterprise AI and automation platform to propel the planet's most engaging customer and employee experiences. We need your help.

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