Overview
GBS is a growing function within PepsiCo that leverages one strategy and common approach to introduce new, technology-driven capabilities and elevate service quality while meeting current and future business needs. PEP NRM is a key priority function where transformation, technology, strategy and capabilities enablement are aimed to be the best in class, and to be standardized and deployed globally.
This position will be part of the GBS - Sales organization. The incumbement will work with different markets across the world supporting deployment and usage of Promo.ai solution. The role will be embedded in the KAM ecosystem, serving as an extension of GNRM and a critical link between business and technical teams. Long-term, the team has potential to integrate with other NextGen NRM capabilities and contribute to broader commercial excellence initiatives.
Responsibilities
Functional Responsibilities
• User support, e.g. inputting constraints on the Promo.ai tool, provide support on day-to-day questions
• Analyzing results (i.e. highlighting the drivers / rationale behind tool recommendations)
• Calendar refinement (supporting iterations based on customer feedback)
• Drive insights and content creation for key KAM touchpoints (e.g., calendar sell-in)
• Identify and share in-market best practices to implement across markets
• Collect and funnel KAM feedback, share with Global Technical, S&T Teams
• Serve as super user & develop best practice deployment playbooks
• Develop and execute against change management plan
• Track usage and outcomes across different customers/banners
• Implement continued improvements and simplifications of processes, standardization
• Create an inclusive and collaborative environment
Key Activities by Project Phase
Deploy
• Shadow meetings between KAM and Promo.ai teams to learn details of KAM touchpoints throughout
• Shadow ad hoc meetings, incl. those in which KAM is not present, to learn more about the tool, processes, and roles involved in a Promo.ai deployment (or refresh)
• Complete onboarding onto Promo.ai team
Sustain - High Touch
• Support KAMs with insights as needed during calendar refinement and sell-in
• Share best practices re. most helpful insights, ways of working with KAMs, etc. across KAM Support Team
• Generate post-event insights re. revenue impact and related business-oriented metrics
Sustain - Steady State
• Support KAMs with insights as needed during calendar refinement and sell-in
• Share best practices re. most helpful insights, ways of working with KAMs, etc. across KAM Support Team
• Generate post-event insights re. revenue impact and related business-oriented metrics
Qualifications
• +9 years of experience in Retail Analytics/Category Management/Revenue Management
• 5-7 years of relevant professional experience working with large data sets, experience in CPG /Consulting / GBS
• Experience in any of the NRM lever practices, Pricing, Promo Management, Assortment, Trade Investment
• Strong analytics skills with expertise in data analytics and data visualization tools like Tableau, Power BI
• Strong Advanced Analytics acumen, Agile ways of working, managing high end data science
• Prior experience in data analytics to derive data driven insights and generate recommendations
• Experience in developing data-driven models for sales and marketing function
• Ability to handle multiple workstreams to tight deadlines in a fast-paced and dynamic environment.
• Drive strategic conversations with Senior stakeholders (VP & above) across multiple Sectors, North America, Europe, LATAM, APAC
• Very strong analytical skills - excellent competency in MS Excel is a must, as is experience of managing complex, incomplete & inconsistent datasets and defining strategic analytics (market sizing/growth forecasts etc).
• Experience in Power Bi / Tableau preferred
• Proven experience using PowerPoint and ability to producing visually compelling presentations (i.e. beyond just operating the software) that are impactful with a senior audience
• Clarity in communication (English language) to enable production of a very high standard of commentary that is impactful and credible amongst our most senior audiences.
• Master's degree from a premium institute is preferred
• Best-in-class time management skills, ability to multitask, set priorities and plan