Senior Manager - Digital Transformation & Plant Analytics

Job Description Join our mission to modernize how we make, pack, ship our products and collaborate with our supply chain partners. Bring data, automation, and AI to the shop floor. The role provides hands‑on digital leadership across six U.S. manufacturing plants – Chicago (IL), Naperville (IL), Richmond (VA), Portland (OR), Twin Falls (ID), and Indianapolis (IN) – currently operating with minimal digital tooling. As Senior Manager you will identify the highest‑value digitization opportunities from day one and convert them into working solutions using Power BI, Power Automate, Agentic AI, and the broader Microsoft and FMCG digital manufacturing stack. Responsibilities Walk the floor at each of the six plants in the first 90 days to identify quick‑win digitization opportunities across production, quality, maintenance, supply, and labor. Co‑develop and own the digital roadmap for the plant network jointly with the Strategy & Transformation team, sequencing initiatives by value, feasibility, and plant readiness. Design, build, and deploy production‑grade Power BI dashboards that give plant leaders real‑time visibility into OEE, downtime, scrap, yield, labor, and cost variance. Automate manual, paper‑based, and spreadsheet‑driven processes using Power Automate, Power Apps, and SharePoint to reduce administrative burden on plant teams. Pilot and scale Agentic AI use cases (Copilot Studio, Azure AI Foundry and equivalent platforms) for shift handovers, root‑cause analysis, document search, and operator assistance. Establish the data foundation – connections to MES, ERP/SAP, CMMS, and historian systems – so analytics and AI initiatives can scale beyond one‑off prototypes. Define data governance, naming standards, security, and access controls in partnership with IT so that what is built at one plant is reusable across the network. Coach and upskill plant resources through hands‑on workshops, citizen‑developer training, and embedded pairing so plants own and extend the tools after go‑live. Track and report business value delivered (cost, throughput, quality, safety) for every initiative on the roadmap, and course‑correct quickly when value is not materializing. Act as the digital voice into plant leadership meetings, S&OP, and capital planning, ensuring digital investments are tied to operational priorities. Develop management reports and dashboards and share them weekly with management, providing insights and recommended actions. Facilitate weekly performance meetings with management, using the right data and insights, and working closely with the plants. Qualifications Deep, hands‑on expertise with Power BI (DAX, data modeling), Power Automate, Power Apps, and the broader Microsoft Fabric / Azure data stack. Practical experience deploying AI and Agentic AI solutions (Copilot, Copilot Studio, LLM‑based agents, RPA) in an operational or manufacturing setting. Strong manufacturing data fluency – comfortable working with MES, SCADA/historian, SAP (PP, MM, PM), CMMS, and quality systems, and translating between IT and OT. Proven track record of taking plants from low digital maturity to functioning analytics and automation, including the change management required to make it stick. Excellent communication, coaching, and stakeholder skills – credible with plant operators, plant managers, and executive sponsors. Strong financial and business acumen with the discipline to prioritize work by value, not by technology novelty. 7+ years of progressive experience in data analytics, digital transformation, or digital manufacturing, with at least 3 years in an FMCG, CPG, or process manufacturing environment. Demonstrated delivery of Power BI dashboards, Power Automate / Power Apps solutions, and at least one production AI or Agentic AI use case. Experience defining and executing a multi‑plant or multi‑site digital roadmap, ideally in partnership with a Strategy or Transformation function. Working knowledge of SAP (PP, MM, PM), MES, and CMMS data structures. Familiarity with data governance, cybersecurity considerations in OT environments, and food safety / GMP regulatory context (FDA, OSHA). Strong written and verbal communication in English. Bachelor’s degree in engineering, Computer Science, Data Analytics, Industrial Engineering, or a related technical field required. Master’s degree, MBA, or certifications in Power BI, Azure Data, AI/ML, Six Sigma, or Lean are a plus. Travel Regular travel to the six U.S. manufacturing sites is expected – approximately 40–50 % travel for candidates based at a plant; up to 60 % for candidates working remotely from outside a plant location. Salary and Benefits The base salary range for this position is $140,300 to $192,940, depending on experience, skills, education, and location. This role is eligible for a highly competitive bonus program with the possibility of overachievement based on performance and company results. Benefits include health insurance, wellness and family support programs, life and disability insurance, retirement savings plans, paid leave programs, education‑related programs, paid holidays and vacation time. Some benefits have eligibility requirements and many are subsidized or fully paid by the company. No relocation support is available. EEO/Equal Opportunity Employer Mondelēz Global LLC is an Equal Opportunity Employer/Protected Veterans/Persons with Disabilities. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Applicants who require accommodation to participate in the job application process may contact View phone number on click.appcast.io for assistance. Job Type Regular #J-18808-Ljbffr Mondelēz International