Vice President, Consumer Market Intelligence
Listed on 2026-06-01
-
IT/Tech
Business Systems/ Tech Analyst, Data Analyst, Data Science Manager
Overview
You will lead the Enterprise Team responsible for leveraging advanced analytics and insights to shape business strategies, guide brand growth, and influence product innovation, pricing, media investments, and go-to-market execution. This role oversees Market & Sales Intelligence, Business Intelligence & Reporting, Insights and Advanced RGM, building high‑performing teams that connect consumer & customer data to provide strategic counsel to commercial leaders.
The goal is to inform decision‑making and drive business performance through storytelling, neutrality, harmonization and thoroughness, utilizing advanced analytics and data science.
Location:
Orrville, OH (Close proximity to Cleveland/Akron)
Reports to:
Chief Marketing Officer
Hybrid – onsite a minimum of 9 days a month primarily during core weeks as determined by the Company; maybe more as business need requires.
Responsibilities Strategic LeadershipDevelop and implement a comprehensive commercial analytics vision aligned with corporate objectives. Determine internal analysis needs and third‑party engagements. Lead the Commercial Analytics & Insights COE, overseeing quantitative and qualitative analysis of data to answer complex marketing and sales business questions – enterprise wide and specific to SBAs.
Develop processes and practices to identify and prioritize deliverables for the commercial analytics team. Drive a data‑centric culture across commercial functions and influence strategic decisions at the executive level.
Consumer & Market InsightsLead teams that develop strategies to capture and interpret consumer behavior, market trends, and competitive intelligence. Partner with Marketing, Innovation, and Category Leadership teams to translate insights into actionable growth opportunities.
Commercial Analytics & Market IntelligenceOversee advanced analytics initiatives, including predictive modeling, market mix modeling, and demand forecasting. Translate complex data into actionable insights for pricing, trade optimization, and marketing ROI. Leverage syndicated data (Nielsen, IRI), POS data, and consumer research to inform strategic decisions.
Anticipate market trends and competitive dynamics to guide portfolio strategy. Partner with Sales & Marketing to deliver insights that improve revenue growth and operational efficiency. Monitor KPIs and performance dashboards to track commercial effectiveness.
Technology & Data StrategyOversee the data strategy for the Commercial organization. Partner with IS to ensure tools meet organizational data needs. Ensure robust data architecture and governance for scalable analytics solutions.
Lead adoption of BI tools (Power
BI, Tableau) and advanced analytics platforms. Lead Data Strategy for the commercial team, monitoring data set purchase. Build and mentor a best‑in‑class analytics team. Foster innovation and continuous learning within the analytics organization. Oversight to training programs to build analytical skills around the Sales and Marketing teams.
Build and mentor a best‑in‑class analytics team. Provide mentorship and support to data scientists and other analytical resources.
Minimum Requirements- Bachelor's Degree
- 15+ years in analytics leadership roles, with at least 7 years in senior leadership within CPG or retail
- Proven track record of driving commercial strategy through analytics
- Proven track record of leading large teams and managing complex data ecosystems
- Proven experience in leading cross‑functional analytics teams, integrating sales and marketing analytics across business units
- Proven experience building advanced analytics teams that deliver today’s needs while pragmatically building for the future
- Ability to prioritize needs & drive focus amid competing priorities
- Deep expertise in marketing and sales analytics, with a focus on performance measurement, ROI tracking, and data‑driven decision‑making in a CPG context
- Strong knowledge of advanced data science techniques, such as predictive modeling, market mix modeling, attribution modeling, and channel performance analysis
- Proficiency in revenue growth management (RGM) analytics, including pricing,…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).