EU Marketing Science and MMM Manager

Overview
This role leads A&M Measurement and Optimization across key European Anchor Markets (Poland, France, Spain) and others, managing one ROI Engine Consultant and collaborating closely with the ROI Engine Technical Team.

The role will:

• Define and execute the A&M Measurement agenda in partnership with Operational Units Media and Marketing teams
• Deliver holistic insights leveraging ROI Engine outputs and complementary studies (Creative Quality, Brand Equity, Brand Lift, Market Share, etc.)
• Provide strategic recommendations to marketing and commercial leadership team to enhance A&M performance and drive change management
• Lead cross-EMEA Marketing Science initiatives, including Influencers / User Generated Content Impact Measurement

Responsibilities

• Lead A&M Measurement and Optimization program across 6 EU markets: E2E project management - from defining the scope to data collection, modelling, delivering results and supporting local teams with Media optimization.
• Manage actual media and sales data collection for respective market: Liaise with internal and external Media agencies and Insights teams, validate data accuracy and make necessary data transformation
• Supervise modelling: Partner with technical teams (Data science and Data engineers) to ensure they deliver a robust and accurate model.
• Translate modeling into actionable business impact: Deliver clear, compelling insights from MMM and complementary studies to senior business stakeholders. Ensure learnings are embedded into media planning and investment decisions.
• Drive A&M optimization across the ecosystem: Partner with Media Agencies, Media Strategy, and local Marketing, Media, and Insights teams to enable data-driven optimization of A&M investments.
• Influence and govern change at senior levels: Engage and align senior stakeholders to embed A&M optimization recommendations into media execution. Lead change management initiatives where needed to ensure adoption and impact.
• Quantify and communicate value creation: Track incremental value generated through measurement and optimization efforts. Codify best practices to support global rollout and scale across other PepsiCo sectors beyond Europe.
• Lead cross-market Marketing Science initiatives: Own strategic capabilities such as Influencers/User Generated Content and Owned and earned media Measurement and Optimization.
• Lead and scale a high-performing team: Manage 1 direct reports and influence 4-6 indirect technical modeling peers to deliver a robust, holistic A&M Measurement program across key European markets.

Qualifications

• 5+ years of experience in Marketing Insights and Data Analytics—across research agencies, consultancy, or client-side roles. A strong track record in delivering Marketing Mix Modelling and Media effectiveness insights is a must.
• Exceptional analytical acumen and strategic thinking, with the ability to translate complex data into compelling narratives and actionable recommendations that drive business impact.
• Proven leadership in matrixed environments, with a demonstrated ability to grow and mentor talent, foster collaboration across functions, and build high-performing teams.
• Strong influencing and communication skills, with confidence in engaging senior stakeholders across Marketing, Commercial, and Finance functions
• Advanced project and program management capabilities, with the ability to manage multiple initiatives simultaneously, ensuring timely and high-quality execution across markets and teams.
• Deep understanding of data-driven marketing, with strong intuition around advanced analytics and modeling techniques (e.g., regression, A/B testing). While not required to build models, the candidate should be comfortable interpreting outputs and guiding technical teams.
• High proficiency in data visualization and storytelling tools
• Global mindset and agility, with the ability to travel (up to 10%) to engage with senior stakeholders across European markets and internal Centers of Excellence.
• Fluent English & Polish is a must.