Teams at Dynata

Owns the lifecycle and roadmap of data products on a lakehouse platform. Defines requirements, schemas, SLAs, access controls, and documentation; collaborates with data engineers on delivery; tracks adoption, quality, and business value KPIs; manages catalogs and metadata; leads sprint planning, backlog grooming, capacity, and releases; and coordinates governance, security, and compliance policies.

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.