VP, Product Management (Data Lakehouse)

About this role

Dynata is seeking a Vice President   of Data Platform Products to lead the strategy, development, and adoption of   Dynata's   next-generation data platform and   lakehouse   ecosystem.   This leader will define and execute the product vision for   Dynata's   data platform, ensuring the underlying architecture, governance, and capabilities enable high-value business outcomes across the organization.  

Reporting to the   Chief Product Officer, the   Vice President will establish the roadmap for a scalable, governed, and reusable data platform that supports both internal and external use cases.   The portfolio includes lakehouse capabilities, federated data access, pricing and feasibility services, semantic -based   data products, feature management, graph-enabled assets, and externally   accessible   AI-ready datasets.  

Initially, this role will operate as a hands-on product leader responsible for platform strategy, use case prioritization, implementation oversight, and stakeholder alignment. As the platform matures, this leader will build and scale a team to support continued growth and innovation.  

Key Responsibilities  

Platform Strategy & Product Leadership  

• Define and execute the vision, strategy, and roadmap for   Dynata's   enterprise data platform and   lakehouse   ecosystem.  

• Ensure platform investments are aligned to business priorities and deliver measurable value across analytics, operations, AI, and data product initiatives.  

• Identify   opportunities to   consolidate   overlapping data assets, services, and workflows, driving greater reuse, consistency, and platform efficiency across the organization.  

• Establish platform investment priorities, business cases, success metrics, and adoption goals to maximize enterprise impact.  

Platform Delivery & Adoption  

• Lead the product strategy and implementation of   Dynata's   lakehouse   platform, partnering closely with engineering, architecture, data science, and vendor teams.  

• Translate business and product requirements into platform capabilities that support current and future use cases.  

• Partner with business stakeholders to ensure platform-enabled capabilities are adopted, trusted, and embedded into operational and commercial decision-making.  

• Continuously evaluate platform performance and   identify   opportunities for optimization, expansion, and innovation.  

Use Case Development & Prioritization  

• Define and prioritize business use cases enabled by the platform, including feasibility prediction, dynamic pricing, router optimization, graph analytics, syndicated data products, synthetic data products, AI-ready datasets, and advanced analytics.  

• Ensure platform capabilities are designed to support reusable, scalable, and governed data products.  

• Balance near-term business needs with long-term platform strategy and architectural sustainability.  

• Partner with business stakeholders to continuously   identify   and   validate   new platform-enabled opportunities.  

Cross-Functional Leadership  

• Partner closely with Product,   Panel,   Technology, Research & Data Science, and Commercial leaders.  

• Align stakeholders around investment priorities, platform roadmap decisions, operating models, and adoption strategies.  

• Lead cross-functional teams to translate business requirements into scalable platform capabilities, balancing customer needs, technical feasibility, governance requirements, and business impact.  

• Build and scale a team of product managers as the data platform portfolio grows.  

Qualifications  

• 10+ years of experience in product management, platform products, data platforms, data infrastructure, analytics, or related fields.  

• Proven experience leading large-scale data platform,   lakehouse , data warehouse, data mesh, or data infrastructure initiatives.  

• Strong understanding of modern data architectures and technologies, including   lakehouse , metadata, governance, semantic layers,   ontologies, feature   stores, APIs, and platforms such as Snowflake,   the   Apache   ecosystem,   Iceberg, Spark, Kafka, and Airflow.  

• Experience translating complex business requirements into scalable platform capabilities that support analytics, optimization, decision support, and data product use cases.  

• Demonstrated success defining product strategy and roadmaps for enterprise platforms or technical products.  

• Demonstrated   success   leveraging   consultants and contractors in addition to internal resources .  

• Strong analytical and business acumen, with the ability to evaluate platform investments and prioritize competing needs.  

• Strong communication   and stakeholder management skills, including experience influencing VP-level and executive stakeholders.  

• Demonstrated success   operating   effectively in ambiguous environments and leading early-stage platform initiatives, balancing strategic leadership with hands-on execution.  

• E xperience building and leading high-performing product teams.  

• Experience working with cloud platforms,   preferably AWS,   data engineering, analytics, AI/ML, or enterprise software ecosystems preferred.  

At Dynata, we deliver the highest quality first-party data to help businesses around the world gain precise insights, activate the right audiences, and confidently measure impact. With industry-leading respondent accuracy, reliability, and a commitment to continuous improvement, Dynata is the trusted foundation for smarter decision-making.

  At Dynata, we are committed to creating an inclusive and accessible environment where every employee and customer feels valued, respected, and supported. We strive to build a workforce that reflects the diversity of the communities we serve. Dynata welcomes and encourages applications from individuals with disabilities and is dedicated to fostering a work culture that supports everyone. Accommodations are available upon request for all aspects of the sele

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