Associate Director, Advanced Analytics - Growth & Manufacturing

Here at Kraft Heinz, we grow our people to grow our business, because we believe that great people make great companies. When you join our table, you can expect access to an array of holistic wellness benefits* and perks, including medical, dental and vision coverage, 7% 401(k) matching, Business Resource Groups (BRGs) to help foster diversity, inclusion, and belonging for all employees, an industry-leading total rewards package that emphasizes a high discretionary bonus. *Benefits begin immediately upon hire for salaried employees. Get a peek into life here at Kraft Heinz through our  Instagram  and  TikTok  channels! Associate Director, Advanced Analytics - Growth & Manufacturing at a glance... You will lead the advanced analytics Growth & Manufacturing function at Kraft Heinz, building and deploying AI, ML, and BI solutions that drive data-informed decision-making—with particular focus on unlocking value in marketing effectiveness (MMM, consumer segmentation, market opportunities), R&D innovation pipelines (predictive modeling, ingredient analytics, NPD forecasting), and manufacturing performance (OEE optimization, predictive maintenance)—to accelerate KHC's digital transformation and AI strategy. What's on the menu? Define and execute the advanced analytics roadmap aligned to KHC's AI and digital transformation strategy, with priority activations in marketing analytics, R&D predictive modeling, and manufacturing optimization. Lead and develop a high-performing team of analysts and data scientists, fostering innovation, agile delivery, and continuous improvement. Partner with the Director of Analytics Products to shape KHC's Analytics strategy, with specific emphasis on Growth & Manufacturing applications across marketing (content personalization, creative analytics), R&D (formulation assistance, literature mining), and manufacturing (anomaly detection, process automation). Collaborate with Marketing to deploy advanced analytics: MMM, consumer segmentation, campaign attribution, and brand performance forecasting. Partner with R&D/Innovation to develop predictive models for innovation pipeline prioritization, ingredient performance analytics, and consumer trend forecasting. Work with Manufacturing on OEE optimization, predictive maintenance, and quality analytics to reduce waste and improve throughput. Partner with L&D to build Analytics and AI literacy, responsible AI education, and adoption programs across the enterprise. Champion agile delivery; work with product owners and scrum masters to translate business requirements into analytics user stories and deliver value in iterative sprints. Recipe for Success - apply now if this sounds like you! I have a Bachelor's degree in Computer Science, Statistics, Data Science, Applied Mathematics, or related quantitative field. I have 7+ years in analytics, data science, or a related field and 3+ years in people management. I have a demonstrated track record of deploying ML/AI solutions in at least 2 of the following 3 domains: 1. Marketing Analytics: MMM, campaign attribution, consumer segmentation, brand performance forecasting 2. R&D / Innovation Analytics: Predictive pipeline modeling, ingredient/formulation analytics, NPD demand forecasting 3. Manufacturing / Supply Chain Analytics: Demand forecasting, OEE optimization, predictive maintenance, quality analytics I have agile delivery experience in an analytics or product context. I have experience in Python, R, SQL, PowerBI or an equivalent BI platform, ML/statistical modeling, generative AI application development and prompt engineering, and cloud data platforms. I have experience leading a team, developing talent, managing executive stakeholder relations, and influencing cross-functionally. I have experience leading change management for technology adoption. I have experience in the following domains: Marketing analytics methodologies (MMM, attribution); R&D innovation processes and sparse data