Vice President II, AI Domain & Insights Orchestration

Vice President II, AI Domain & Insights Orchestration

 

Let’s be unstoppable together!

 

Circana is a leading provider of technology, AI, and data solutions for consumer packaged goods companies, manufacturers, and retailers. Our predictive analytics and Liquid Data® platform help clients measure market share, uncover consumer behavior, and drive growth—powered by six decades of expertise and an expansive, high-quality data set.

 

At Circana, we are fueled by our passion for continuous learning and growth, we seek and share feedback freely, and we celebrate victories both big and small in an environment that is flexible and accommodating to our work and personal lives.  We’re a global company dedicated to fostering inclusivity and belonging. We value and celebrate the unique experiences, cultures, and viewpoints that each individual brings. By embracing a wide range of backgrounds, skills, expertise, and beyond, we create a stronger, more innovative environment for our employees, clients, and communities. With us, you can always bring your full self to work.  Join our inclusive, committed team to be a challenger, own outcomes, and stay curious together. Circana is proud to be Certified™ by Great Place To Work®. This prestigious award is based entirely on what current employees say about their experience working at Circana. Learn more at www.circana.com.

 

Role Overview

We are seeking a senior leader to own the end-to-end vision and build of our AI-powered "digital teammate" for Client Insights—Starfinder— to help them more effectively serve our Consumer Packaged Goods (CPG) and General Merchandise clients. This role spans large language model (LLM) architecture and orchestration, domain knowledge capture at the individual and organizational level, human-in-the-loop training, and productization across our solutions portfolio. The leader will manage a team of consultants who will design mechanisms to efficiently elicit and encode expert know-how from our Client Insights teams and clients, govern how that knowledge is weighted and validated, and drive trusted diagnostics and actionable recommendations that leverage our market measurement data and agents (e.g., data access, assortment optimization).

 

Reports to: EVP/SVP, AI, Technology & Product. Partners closely with Client Insights, Data Platform, and Solution Product leaders

 

Job Responsibilities

• Architect & Orchestrate the AI Teammate
  • Own the end-state architecture and roadmap for domain centric AI application: multi-agent orchestration, tool/agent registry (e.g., data access, assortment modeling), retrieval augmentation, and guardrails.
  • Design interfaces and workflows so Client Insights users can delegate tasks (diagnose, recommend, forecast) and see evidence, steps, and data lineage (trust-by-design).
  • Operationalize "human-in-the-loop" training modes that expose rationale, artifacts, and gaps, enabling experts to correct/extend the system efficiently.
• Capture & Model Domain Knowledge
  • Build the end-to-end mechanism to elicit, structure, and weight domain knowledge from experts—balancing industry best practice, company standards, and personal/role-level nuances.
  • Develop schemas/ontologies, taxonomies, and playbooks that encode diagnostic and recommendation patterns (e.g., brand health, price/promotions, assortment, equity).
  • Implement governance so contributions are validated, versioned, and weighted by authority (role, expertise, regulatory constraints).
• Deliver Trusted Diagnostics & Recommendations
  • Stand up repeatable analyses for the most common client questions (e.g., "What's going on with my brand?") using our market data alongside learned heuristics.
  • Quantify actions via specialized agents (e.g., assortment optimization for SKU-level recommendations; pricing/trade scenarios) with transparent trade-offs and expected impact.
  • Enable strategic overlays (portfolio, pricing posture, innovation bets) so guidance reflects client-specific objectives—not just generic best practice.
• Productize & Integrate Across the Portfolio
  • Partner with Product, Data Platform, and Solutions teams to package reusable capabilities into Liquid AI/Brainwaves and client-facing experiences.
  • Define APIs and integration patterns so agents and external data sources can be plugged in, discovered, and governed.
  • Evolve the user experience away from static forms towards natural-language workflows that pull the right data, tools, and logic on demand.
• Lead, Influence & Ch