Senior Director, Synthetic Intelligence Products

About the role

Dynata is seeking a Senior Director of Synthetic Intelligence Products to lead the strategy, development, and commercialization of a portfolio of synthetic data products built on Dynata's industry-leading first-party data assets. This leader will define and execute Dynata's synthetic Intelligence product vision, transforming advancements in modeling, simulation, and synthetic respondent generation into scalable, market-ready products that create value for clients and differentiate Dynata in the market. Reporting to the VP, AI and Intelligence Products, the Senior Director will establish a roadmap for synthetic data offerings that expand the value of Dynata's data assets, unlock new research methodologies, and drive sustainable revenue growth. The portfolio may include synthetic augmentation of existing datasets, synthetic sample generation during data collection, digital respondent twins and personas, data quality and validation solutions, and other emerging synthetic Intelligence capabilities. Initially, this role will operate as a hands-on product leader responsible for opportunity assessment, customer discovery, product strategy, and commercialization efforts. As the synthetic intelligence portfolio expands, this leader will build and scale a team to support continued growth and innovation.

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.

Responsibilities

• Product Strategy & Portfolio Leadership: Define and execute the vision, strategy, and roadmap for Dynata's synthetic Intelligence product portfolio. Identify opportunities to create new products and services leveraging synthetic respondents, synthetic audiences, synthetic augmentation, and simulation-based methodologies. Develop business cases and investment recommendations for new capabilities and product offerings. Establish product success metrics, growth objectives, and revenue targets.
• Market & Customer Insights: Lead customer discovery efforts to understand unmet needs and identify high-value applications for synthetic data. Evaluate emerging technologies, methodologies, and market trends to inform product strategy. Assess product-market fit and prioritize opportunities based on customer value, feasibility, and business impact. Serve as an internal and external thought leader on synthetic Intelligence methodologies and applications.
• Product Development & Commercialization: Lead the end-to-end lifecycle of synthetic Intelligence products from concept through launch and