Director Jobs

About The Position

Requirements

• Bachelor’s degree in Data Science, Statistics, Marketing Science, Economics, Engineering, Applied Mathematics, Computer Science, or related discipline; Master’s degree or Ph.D. preferred.
• 12+ years of experience in advanced analytics, predictive modeling, data science, or marketing analytics, including significant leadership experience in global or large-scale, matrixed environments.
• Proven experience building and deploying predictive, econometric, and machine learning models that drive business decisions.
• Demonstrated success influencing senior leaders through clear storytelling and business-oriented communication.
• Experience designing, leading, and executing an ecosystem of marketing and commercial analytics research agencies.
• High level of digital and data fluency with hands-on experience in AI-enabled environments.
• Advanced analytics, predictive modeling, and data science applied to marketing and commercial decision-making.
• Expertise in econometric, machine learning, statistical, forecasting, simulation, and optimization models.
• Strong proficiency in modern analytics tools, programming languages, and modeling environments (e.g., Python, R, SQL, AI-enabled platforms, cloud-based architectures).
• Marketing science and consumer behavior analytics, with the ability to connect models to real-world brand and customer decisions.
• Design and leadership of test-and-learn experiments, simulations, and experimentation frameworks.
• Strategic storytelling and structured recommendation building for senior leadership impact.
• Systems thinking that connects insights across functions, markets, and commercial contexts.
• Enterprise mindset with the ability to define global standards and scale capabilities across diverse regions.
• Ability to influence and align senior leaders across a complex, matrixed organization.
• Coaching and mentoring of analytics talent, fostering an inclusive and growth-oriented culture.
• Strategic judgment, adaptability, and effectiveness in fast-paced, evolving environments.
• External orientation with passion for analytical innovation, AI trends, and marketing effectiveness.
• Comfort leveraging generative AI tools and Microsoft Copilot in day-to-day work.

Responsibilities

• Leads the global strategy, vision, and roadmap for advanced analytics and predictive modeling across the Marketing function.
• Builds and scales predictive models that enhance demand forecasting, marketing ROI measurement, campaign optimization, and category or portfolio decision-making.
• Partners with Categories, Customer & Commercial, and Insights teams to embed analytics into full end-to-end decisions.
• Develops standardized analytics frameworks, tools, and methodologies that enhance consistency and enable data-driven choices across markets.
• Guides the development of machine learning, econometric, and statistical models that drive insights into consumer behavior, media effectiveness, brand equity, and purchasing dynamics.
• Supports the GI&PM pillars (consumer science, shopper science, portfolio management, and marketing performance) by leveraging experimentation, MPV, test-and-learn designs, and applied analytics to validate hypotheses, quantify impact, and scale successful approaches globally.
• Generates best approaches to solve business questions by defining transferable learnings and frameworks that can be applied across geographies without replicating identical exercises in every market.
• Translates complex analytical outputs into simple, compelling, and actionable recommendations for senior leadership, brand teams, and customer partners.
• Builds strong partnerships with Digital and Data teams to ensure access to high-quality data, modern tooling, and AI-enabled platforms.
• Establishes governance routines, capability-building programs, and communities of practice to strengthen analytical fluency across the system.
• Leads external benchmarking and stays ahead of emerging trends in artificial intelligence, predictive analytics, generative modeling, and marketing science.
• Implements responsible data practices and upholds ethical standards in model design, testing, and deployment.

Benefits

• A full range of medical, financial, and/or other benefits, dependent on the position, is offered.