Jobs at Dynata

Supports general and corporate accounting through month-end close, reconciliations, journal entries, financial reporting, variance analysis, internal controls, audits, and ad hoc automation or system implementation projects. Partners with management to review financial statements, identify discrepancies, reduce costs, and improve profitability. Requires strong analytical, organizational, communication, and problem-solving skills.

Executive product leader responsible for Dynata+ platform strategy, roadmap, customer and developer experience, APIs, integrations, platform adoption, product-led growth, pricing, monetization, and enterprise alignment. The role will establish a unified self-service interface across Dynata business units, launch API and agent access, expand scripting, analytics, and visualization capabilities, and improve activation, conversion, retention, and revenue metrics. This leader partners closely with engineering, sales, marketing, customer success, and finance.

Provides in-house labor and employment counsel, advises Human Resources and business stakeholders, ensures legal compliance, manages outside employment counsel, and supports litigation, labor relations, benefits, and employment policies. Drafts and negotiates commercial customer agreements involving services, data, and information technology. Develops customer-focused legal solutions, contributes to functional strategy, solves complex business problems, and operates independently in a demanding environment.

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 graph analytics, identity resolution, forecasting, and predictive modeling initiatives for operational, commercial, and product decisions. Designs scalable graph data models, production-ready machine learning solutions, and time-series forecasts. Establishes validation, monitoring, governance, and experimentation practices while partnering with product, engineering, and platform teams. Translates complex analytical findings into business recommendations and provides technical leadership across graph science, forecasting, optimization, and decision-support capabilities.