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.

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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-makingwith 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 KHCs digital transformation and AI strategy.

• Define and execute the advanced analytics roadmap aligned to KHCs 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 KHCs 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.

• I have a Bachelors 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 environments; manufacturing KPIs (OEE yield MTBF) and supply chain forecasting principles.

• I have experience with Agile/scrum methodology; product thinking and user story development; data governance and responsible AI principles.

Licenses and Certifications:

None required. Preferred: cloud platform certifications (AWS Azure GCP); ML framework credentials. PMP or SAFe agile certification a plus.

Our Total Rewards philosophy is to provide a meaningful and flexible spectrum of programs that equitably support our diverse workforce and their families and complement Kraft Heinz strategy and values.

New Hire Base Salary Range:

Bonus: This position is eligible for a performance-based bonus as provided by the plan terms and governing documents.

The compensation offered will take into account internal equity and may vary depending on the candidates geographic region job-related knowledge skills and experience among other factors

Benefits: Coverage for employees (and their eligible dependents) through affordable access to healthcare protection and savingfor the future we offer plans tailored to meet you and your familys needs. Coveragefor benefits will be in accordance with the terms and conditions of the applicable plans and associated governing plan documents.

Wellbeing: We offer events resources and learning opportunities that inspire aphysical social emotional and financial well-being lifestyle for our employees and their families.

Youll be able to participate in a variety of benefits and wellbeing programs that may vary by role country region union status and other employment status factors for example:

• Physical - Medical Prescription Drug Dental Vision Screenings/Assessments

• Social - Paid Time Off Company Holidays Leave of Absence Flexible Work Arrangements Recognition Training

• Emotional Employee Assistance Program Wellbeing Programs Family Support Programs

• Financial 401kLife Accidental Death & Dismemberment Disability

Location(s)

Kraft Heinz is an Equal Opportunity Employer Underrepresented Ethnic Minority Groups/Women/Veterans/Individuals with Disabilities/Sexual Orientation/Gender Identity and other protected classes.In order to ensure reasonable accommodation for protected individuals applicants that require accommodation in the job application process may contact for assistance.