Confidential · 15 hours ago
Vice President of Product Management
Palo Alto, CA
Full-time
Onsite
Director/Executive
$280K/yr - $315K/yr
10+ years expConfidential company is seeking a Vice President of Product Management to lead the Data Product business. This role involves ensuring the development and delivery of innovative data products and solutions that align with business objectives, while fostering a data-driven culture and driving revenue growth.
Marketing & Advertising
Responsibilities
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 aligned with the organization's and Customer’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
Ensure that all data assets are clean, 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
Partner with data scientists and engineers to design scalable AI pipelines and MLOps workflows
Lead the design, 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
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
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 with 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
Ensure data products take into practices that adhere to global regulations (e.g., GDPR, CCPA) and ethical AI standards
Products 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
Qualification
Required
Bachelor's degree in Computer Science, Data Science, AI, or a related field; Master's degree 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
Strong understanding of data platforms, analytics tools, and machine learning technologies, including: Database architectures, including query systems, query optimization, query languages and abstractions
Data storage including table formats such as Iceberg and Delta Lake, and cloud storage technologies including hyperscalar products like S3
Machine Learning including basic ML algorithms, ML development lifecycle, use cases of different ML techniques in the enterprise
Understanding of ML tools and how they are deployed in Enterprises, such as Spark, Python, Jupyter Notebook, and Gen AI tools such as PyTorch, LangChain, HuggingFace, etc
Deep understanding of Enterprise Data Management, including Technologies like Databases, MDM, ETL/Data Orchestration/Data Annotation, Data Observability, etc
Logical/Physical schemas, views, replication techniques, etc
Architectures such as EDWs, Data Marts, Data Lakes / Lakehouses, ML playgrounds, etc
Governance concepts such as data security, data sovereignty, data privacy, data governance frameworks, etc
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
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
Preferred
Master's degree or MBA preferred
Company
Confidential
This page is owned and operated by JAF HOLDINGS INC. All rights reserved 2025. jafholdingsinc.com
Silicon Valley, California US, US
51-200 employeesFunding
Current Stage
Growth StageLeadership Team
Roshan Syed
Global Talent Partner
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