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Own revenue growth for Circana’s Commerce business across retail media networks, commerce platforms, and strategic partners. Build executive relationships, account growth plans, pipelines, and consultative sales opportunities from discovery through negotiation, close, renewal, and expansion. Translate measurement, data, analytics, audience, and technology capabilities into client value propositions. Maintain forecasts, coordinate cross-functional teams, develop executive-ready proposals, and scale repeatable commercial approaches. This is a senior individual-contributor role without direct people management.

Drive client growth for Circana’s Foodservice team by selling data and software solutions, managing end-to-end sales cycles, translating POS and consumer data into actionable insights, building stakeholder relationships, meeting revenue targets, and collaborating with analytics, product, and client insights teams.

Drives client growth for Circana’s Foodservice team by translating consumer and point-of-sale data into actionable insights. Responsibilities include prospecting, needs assessment, solution development, negotiation, closing, strategic account planning, relationship management, cross-functional collaboration, and supporting revenue targets. The role also maintains industry expertise, champions client success, provides market feedback, and delivers fact-based analyses using Circana’s proprietary data platforms.

Analyzes Circana datasets to answer client business questions, creates reports and Excel/PowerPoint analyses, identifies consumer and foodservice trends, and presents insights to clients. Supports account teams, manages projects, trains clients on data tools, contributes to client relationships and solution adoption, and helps meet sales goals through account planning and pipeline management.

Develop and maintain client pricing strategies, analyze margins and business performance, and provide actionable pricing recommendations. The role supports RFPs, contract renewals, subscription billing, revenue recognition, data quality controls, reconciliations, and audit trails. It partners with sales, finance, legal, product, technology, and leadership teams while improving pricing processes, managing change initiatives, and preparing financial analyses and presentation materials.

Advises a consumer health client on pricing, promotion, assortment, and retailer decisions. Interprets elasticity, transferability, and optimization outputs; coordinates modeling work; leads client workshops; develops commercial recommendations; manages analytics program cadences; trains users; and identifies follow-on consulting opportunities. Requires regular onsite collaboration in Summit, New Jersey and presentation to senior stakeholders.

Runs pricing, promotion, and assortment analytics scenarios for a consumer health client; validates model outputs, identifies insights and anomalies, creates client deliverables, manages data inputs and timelines, supports users, and develops expertise in elasticity, promotional effectiveness, demand transferability, and assortment optimization.

Advise a consumer health client on pricing, promotion, assortment, and retailer decisions using Circana analytics. Translate elasticity, demand transferability, and optimization outputs into actionable recommendations, lead client working sessions, coordinate modeling teams, manage analytics refreshes, train users, and identify opportunities for expanded consulting services. Present recommendations to senior stakeholders and track resulting commercial outcomes. The role requires at least two days weekly onsite in Summit, New Jersey.

Leads enterprise corporate communications, change communications, M&A integration messaging, executive communications, stakeholder engagement, reputation management, and governance. Partners with HR, Legal, M&A, leadership, and global teams to translate complex business priorities into clear communications strategies, materials, and engagement plans. Measures communication effectiveness using employee insights, analytics, and feedback while advising senior leaders on sensitive issues.

Lead the design and production delivery of agentic AI systems, translating domain expertise into ontologies, tool contracts, evaluation frameworks, and reliable orchestration patterns. Own context management, guardrails, tracing, testing, and observability while setting technical direction for an engineering pod. Collaborate with engineers, subject matter experts, product leaders, security teams, executives, and clients. The role requires production experience with agent frameworks, multiple model families, cloud AI platforms, agentic development practices, and coding tools.