VP, Product Management (Data Lakehouse)

Dynata is seeking a leader to define and execute the product vision for its next-generation data platform and lakehouse ecosystem, ensuring the underlying architecture, governance, and capabilities drive high-value business outcomes across the organization.

About the Role

Reporting to the Chief Product Officer, this role will establish the roadmap for a scalable, governed, and reusable data platform supporting 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 position will operate as a hands-on product leader responsible for platform strategy, use case prioritization, implementation oversight, and stakeholder alignment. As the platform matures, the leader will build and scale a team to support continued growth and innovation.

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 align with business priorities and deliver measurable value across analytics, operations, AI, and data product initiatives.
  • Identify opportunities to consolidate overlapping data assets, services, and workflows to drive greater reuse, consistency, and platform efficiency.
  • 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.

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.

Pay

The base salary range for this position is $250K–$300K/yr. Base pay may vary depending on location, job-related knowledge, skills, and experience. A discretionary incentive program may be provided as part of the compensation package, in addition to a full range of medical and other benefits, dependent on full-time employment status.