Teams at Dynata

Leads enterprise semantic layer, data, and AI platform architecture. Defines lakehouse, medallion, data model, data contract, metadata, schema governance, feature store, model lifecycle, and interoperability standards. Partners with product, engineering, platform, and data science teams to create secure, reusable foundations for analytics, machine learning, and AI applications. Translates business and governance requirements into scalable technical architectures and provides thought leadership across enterprise data and AI enablement.

Leads Dynata’s Consumer Intelligence product portfolio, defining strategy, roadmap, business cases, pricing, packaging, commercialization, and growth objectives. Transforms proprietary panel, survey, profile, and behavioral data into scalable commercial products. Conducts customer and market discovery, drives product development and adoption, aligns cross-functional stakeholders, and builds a product management team as the portfolio expands.

Leads enterprise AI transformation by developing the AI roadmap, prioritizing investments, managing initiative portfolios, and delivering measurable business value. Partners with executives and cross-functional teams to redesign operations, establish governance, evaluate technologies and vendors, drive adoption, and lead workforce change. Accountabilities include revenue growth, productivity, efficiency, customer experience, compliance, AI maturity, and value realization.