VP, Product Management (Data Lakehouse)

Dynata

Northern (KY)

On-site

USD 250,000 - 300,000

Full time

14 days+
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Job summary

Dynata seeks a Vice President of Data Platform Products to lead strategy and adoption of our next-generation data platform and lakehouse ecosystem. You will define the product vision, align stakeholders, and drive scalable, governed data capabilities for analytics, AI, and business decisions.

Reporting to the Chief Product Officer, you will shape the roadmap, oversee implementation, and build a team as the platform matures, delivering high-value outcomes across the organization.

Qualifications

  • 10+ years in product management or platform products with data infrastructure focus.
  • Proven leadership of large-scale data platform initiatives (lakehouse, data mesh, data warehouse).
  • Strong grasp of modern data architectures, governance, semantics, APIs, and tooling.
  • Ability to translate complex requirements into scalable platform capabilities.

Responsibilities

  • Define vision, strategy, and roadmap for Dynata's data platform and lakehouse ecosystem.
  • Lead platform delivery with engineering, data science, and vendors to drive adoption.
  • Prioritize use cases, manage governance, and align stakeholders across the org.
  • Build and scale a high-performing product team around data platform initiatives.

Skills

Platform leadership
Stakeholder management
AWS cloud
Data governance
Lakehouse & data mesh
Strategic product management
Team leadership
Analytics & AI/ML awareness

Tools

Snowflake
Apache ecosystem
Iceberg
Spark
Kafka
Airflow

Job description

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.

Who we are

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, your work directly influences how the world’s leading organizations understand people, markets, and behavior.

About our culture

Our culture is rooted in inspiration, collaboration, and a drive for excellence. At Dynata, a career is more than just a job—it’s a place where your work matters, your voice is heard, and your growth is supported every step of the way. Whether you’re passionate about innovation, driven to make a difference, or excited to join a collaborative team that puts integrity and impact at the center of everything we do, you’ll find your next chapter here.

We provide a collaborative, inclusive culture that values expertise, curiosity, and ownership. The chance to make a measurable impact on how insights are created and trusted.

Competitive compensation, benefits, and opportunities for growth.

We recently won the 2026 Association for Talent Development BEST award. We are honored to be recipients of the 2026 Association for Talent Development (ATD) BEST Award, one of the industry’s most prestigious recognitions for excellence in talent development. Receiving this distinction validates our intentional investment in fostering a supportive and empowering environment for our team members.

At Dynata, we don’t just talk about development—we put it into action. Every April, our global Power Your Career conference brings together employees from around the world to connect, learn, and grow. Our experiential High-Potential Program provides rising leaders with immersive, hands-on opportunities for professional development, ensuring our next generation of talent is ready to make a difference.

Additionally, our Leadership Challenges equip managers and future leaders with the skills and insights necessary to drive quality and excellence throughout the organization.

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