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.
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.
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.
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 selection process.
Dynata is an Equal Opportunity Employer. We consider all qualified applicants and employees without regard to race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, marital status, age, disability, genetic information, veteran status, or any other legally protected status under applicable laws.
The base salary range for this position in is $250K-$300K/yr; however, base pay offered 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.
Skills Required
- 10+ years of experience in product management, platform products, data platforms, data infrastructure, analytics, or related fields
- 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, Snowflake, Apache technologies, Iceberg, Spark, Kafka, and Airflow
- Experience translating complex business requirements into scalable platform capabilities supporting analytics, optimization, decision support, and data product use cases
- Success defining product strategy and roadmaps for enterprise platforms or technical products
- Success leveraging consultants and contractors alongside internal resources
- Strong analytical and business acumen, including evaluating platform investments and prioritizing competing needs
- Strong communication and stakeholder management skills, including influencing VP-level and executive stakeholders
- Experience operating effectively in ambiguous environments and leading early-stage platform initiatives with strategic and hands-on execution
- Experience building and leading high-performing product teams
- Experience with cloud platforms, preferably AWS, data engineering, analytics, AI/ML, or enterprise software ecosystems
Dynata Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Dynata and has not been reviewed or approved by Dynata.
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Leave & Time Off Breadth — Time off options such as paid holidays, sick time, PTO, and in some cases unlimited PTO are available, with PTO sometimes described as generous. Volunteer time and a “birthday day off” expand the time‑off menu beyond basics.
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Flexible Benefits — Flexible and remote work options are broadly offered across a global and hybrid footprint, including part‑time and work‑from‑home arrangements. This flexibility can make certain entry‑level or side‑income roles feel reasonable for the work involved.
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Wellbeing & Lifestyle Benefits — Perks such as commuter benefits, wellness resources, snacks, gym or cell‑phone reimbursements, and tuition reimbursement are part of the package. Employee resource groups and volunteer opportunities add lifestyle and community support.
Dynata Insights
What We Do
Dynata is the world’s largest first-party data platform for insights, activation and measurement. With a reach that encompasses over 62 million consumers and business professionals globally, and an extensive library of individual profile attributes collected through surveys, Dynata is the cornerstone for precise, trustworthy quality data. The company has built innovative data services and solutions around its robust first-party data offering to bring the voice of the customer to the entire marketing continuum – from strategy, innovation, and branding to advertising, measurement, and optimization. The Dynata data platform, an all-in-one solution for insights, activation and measurement, leverages our robust data, innovative technology and more than 40 years’ experience as a pioneer in consumer and B2B insights. Our vision for the Dynata data platform is to automate the entire marketing continuum, with capabilities to target audiences; uncover insights; connect data; activate, measure and optimize campaigns; and analyze, visualize, publish and share those insights to drive your business growth. We’ve helped more than 6,000 market research firms, brands, media and advertising agencies, publishers, and consulting and investment firms around the world and in every industry accelerate transformation, enable better decision-making, and deliver revenue growth.
