Senior Manager, CMI Predictive Analytics & Insights

Unilever Power Of One CMI Team Role

At Unilever, the Power of One CMI team sits at the heart of driving growth—transforming data into decisive action across categories and the U.S. market. By blending cutting-edge analytics with forward-looking insights, this team partners closely with business leaders to unlock opportunities, solve complex challenges with agility, and shape what's next. This role is central to that mission, combining strategic problem-solving with the stewardship of our most critical performance data assets, and influencing how insights power decisions across the organization.

The individual in this role will become an indispensable business partner with Business Group Leaders across Consumer & Market Insights, Marketing, Finance, Sales/CD and D&T. They will drive business impacts across the community through insights and foresights from analytics. Solve business problems and work with cross functional teams to turn recommendations into actions. They believe that data is Unilever's greatest asset – it drives growth, transforms companies and is the biggest bet against disruption.

The role requires someone who can communicate strategic and operational recommendations to CMI Business Unit Leads, GMs, & Category Leadership teams. They will build stories using multiple data sets and synthesize into clear insights; suggest analytical approaches, analyze the data themselves or partner with agencies like Circana/Numerator to tell the story with data. They will lead bringing industry experts in to share learnings with the US organization through CMI Perspectives series.

They will manage Key Metrics reporting across Business Units for the USA – including TO Weighted Market Share, TDP Share, Penetration, etc. This individual will also connect regularly with the Global CMI team to ensure that there is alignment between local and global tools.

They will help embed automated, AI-enabled reporting (standardize definitions, validate outputs, and drive adoption across stakeholders) and manage rollout of key analytic tools, including price elasticity studies. They will partner with specialists in analytics (including but not limited to Pricing, Forecasting, etc) to help guide the marketing team in their business decisions. They will stay on top of "new news" within the Performance data space – actively look for opportunities to expand market coverage and find creative solutions to requests from our teams.

They will be on the forefront of marketplace & shopping forces impacting and shaping the US - working with industry effects to be 'always on' with how retail, digital, and shopper expectations are evolving. They will integrate signals across retail performance, shopper data, cultural trends, and competitive activity to define where, why, and how consumers are buying. They will partner with the D&T team to ensure core data sets (such as Circana, Numerator, NIQ, etc) are ingested into our data lake at levels needed to support business tools and processes.

They will manage Research & Data spending and purchase orders.

To succeed in this role, the individual needs to have demonstrated high performance, 7-9 years of relevant insights & analytics experience. Prior experience working with core data agencies like Circana, Numerator, and NIQ is critical for this role. They need prior experience managing direct reports or consultants. They should have proven ability to think through problems, provide clear logic, and influence stakeholders with actionable recommendations.

They should be comfortable presenting complex information to senior level audiences – both verbally and in writing. They should be highly skilled in Excel (Advanced) and have an affinity for other analytic tools.

A project positive attitude with history of dependability, resourcefulness and goal orientation is required. A passionate, curious attitude, strong interpersonal skills, flexibility, and team player attitude are also needed. An undergraduate degree is required. An advanced degree in Marketing, Marketing Research, Analytics, Economics or Business is preferred. MS Office proficiency is required. Experience leveraging AI-enabled tools (e.g., automation, insights generation) and a growth mindset to learn quickly as new capabilities emerge is welcomed.

Modeling experience is welcomed.