VP, Product Management (Data Lakehouse)

Dynata•Westport, CT

About The Position

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 Senior 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.

Requirements

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.
Experience building and leading high-performing product teams.
Experience working with cloud platforms, preferably AWS, data engineering, analytics, AI/ML, or enterprise software ecosystems preferred.

Responsibilities

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.
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.
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.
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.