Overview
With data deeply embedded in our DNA, PepsiCo Data, Analytics and AI (DA&AI) transforms data into consumer delight. We build and organize business-ready data that allows PepsiCo’s leaders to solve their problems with the highest degree of confidence. Our platform of data products and services ensures data is activated at scale. This enables new revenue streams, deeper partner relationships, new consumer experiences, and innovation across the enterprise
The Data Science (DS) Pillar in DA&AI will be the organization where Data Scientist and ML Engineers report to in the broader D+A Organization. Also DS will lead, facilitate and collaborate on the larger DS community in PepsiCo. DS will provide the talent for the development and support of DS component and its life cycle within DA&AIProducts. And will support “pre-engagement” activities as requested and validated by the prioritization framework of DA&AI
Position Overview:
Your role will be to be part of growing team based in Dallas, to create and support global digital developments for PepsiCo. These developments will be around topics like revenue management, supply chain, manufacturing, logistics. You will be part of a collaborative interdisciplinary team around data, where you will be responsible of building deployable statistical/machine learning/AI models, starting from the discovery phase
The main objective of the Data Science FLNA Director is to lead the Integrated Business Planning (IBP) deployment for PepsiCo Foods North America (PFNA). This is both and execution and strategic role that requires extensive experience in deploying technical solutions plus expertise in business applications of data science and areas of Demand Planning, S&OE and S&OP. This role will also take charge of building and deploying solutions that connect IBP to the Trade Promotion Management (TPM) solution in use in North America (both food and beverage units), and maintaining and expanding the use of other legacy trade promotion analytic solutions (Post Event Analytics) across North America
You will coordinate closely with IBP Program leadership, the IBP data science Lead and its Leadership (IBP Build, IBP US Delivery), working as part of that team. This role will orchestrate both the delivery and customization of the analytics components built to-date, which will be done with internal and external talent
You will work closely with process owners, product owners and final business users. This will provide you the correct visibility and understanding of criticality of your developments. Focus of the role will be demand forecasting and other associated analytics
You will be an internal ambassador of the team’s culture around data and analytics and become a champion of talent development. You will provide stewardship to colleagues in the areas that you are and specialist or you are specializing
Responsibilities
• Accountable for delivering the data science activities in IBP program in large and complex North America markets (PFNA focus)
• Collaborate with and influence executives across the global markets (IBP, Strategy, Sector and Transformation leads, etc.) to drive alignment and manage the narrative around data science and analytics applied to IBP
• Lead a team that deploys and sustains data science components for IBP with focus in FLNA market; focus team on applying the right tools in artificial intelligence, machine learning, and analytics in precise, scalable, secure and ethical ways
• Lead key aspects of the deployment of IBP programs. Both Data Science activities leaning on the configuration of reusable IBP data science assets and creation of new assets to support the IBP FLNA deployments. Lead a group of ML Engineers to ensure that data/features are correctly coded for the use of our Data Science assets, pipelines get correctly deployed, scalable and execute in allocated service level agreements
• Manage key business and transformation stakeholder expectations, alignment and conversations through program operational and strategic working sessions
• Mediate and negotiate conversations and work with other data organizations (Data/AI Program Manager, Enterprise Data Operations, Data Governance, IBP Forecasting pod, sector teams and other IBP pods)
• Understand external environment and industry and incorporate the latest advances in data science technology and best practices in IBP use cases and other related enabling programs
• Lead and execute parallel IBP programs. One key program is the “Magic Triangle” that will aim to connect IBP demand planning forecasting with Trade Promotion Management (Commercial) forecasting and with financial forecasting
• Lead other FLNA sector-based programs assigned to the IBP team
• Oversee and report on data science work on IBP global deployments
• Lead other team members in the different digital projects acting as a data science lead for the project
• Act as a subject matter expert across different digital projects
• Act as
Location: Plano, TX (+1 other)
Posted: Sept. 30, 2024, 5:04 p.m.
Apply Now Company Website