Job Details
ResponsibilitiesMain PurposeLead the ROI Engine team Global Transformation agenda ensuring Pepsico's MMModel is relevant for the business, properly integrated into the Sectors'/Global's way of working and with the robustness and flexibility needed to drive ROI results with specific geographic responsibility for one of the key teams within the Sector (eg MENA, APAC, India, or ANZ)Accelerate PepsiCo business growth and efficiency by leading the regional team within the Sector Vertical responsible for: Aligning key stakeholder needs, prioritizing, and properly communicating this roadmap throughout the business.
Reporting (creating/updating dashboards, delivering periodic and on-demand performance reviews, and addressing ad-hoc requests based on internal and external data sources) Advanced Analytics (deployment, scaling, development, and enhancement of statistical models to address key business questions: Growth Driver Modeling/Marketing Mix Modeling, pricing, assortment, market structure, innovation forecasting, drivers analyses, category growth forecasts, etc) and This role is with the Global business services arm of Media and data global function at PepsiCoIn this role, you will play a key role in shaping the future of media measurement strategy for PepsiCo, esp with focus on building an understanding role of media as key Growth Driver thru ROI and related analytics.
You will be a trusted advisor to marketing and Insights leaders across key markets for PepsiCo's portfolio globally - enabling a range of internal and external stakeholders to leverage media mix as competitive advantage, leveraging measurement, insights, as well as process & technology You will be responsible for providing thought leadership and advice to set a vision for driving PepsiCo media and content effectiveness thru data-driven strategy You will also play a key role in developing cross-portfolio, cross-markets media investment optimizations capability, driving the vision through a set of focused, tangible and results-oriented activities You will work with the Marketing and Insights leadership team globally and within AMESA sector to identify best practices in the industry and across all PepsiCo's brands, providing support to codify and scale best in-class methods that inspire continuous improvement in marketing effectiveness and ROIsYou will be expected to demonstrate expertise in application of mix models, attribution analytics, performance measurements through application of Data science and advanced analyticsAccountabilitiesFunctional Responsibilities:.
Execute delivery of advanced analytics activities for ROI Engineo Develop, maintain, and apply statistical models to business questions - including forecasting, marketing mix, price sensitivities/corridors, drivers analysis, market structure, etco Execute brand and portfolio level media and marketing mix analyses and model PEP brand/portfolio performance based on marketing plans, MMM, and internal targets to provide optimization recommendations Build & codify media performance measurement strategies: Collaborate with internal/external stakeholders to create capabilities, tools and processes to drive best in-class efficiency, effectiveness & sufficiency Develop best-practices among all brands and scale lifting and shifting learnings across countries and categories Enable global and brand teams to leverage tools, capabilities and processes to further media objectives.
Maintainenance of existing marketing mix modelso Periodic refresh of existing models across markets and brandso Periodic model validation to check need for rebuildo Guiding business with periodic updates Guiding Building and delivering new marketing mix modelso Building new marketing mix models for existing or new marketso Building any other form of new measurement asset to answer business questions Manage a team of internal/external data science team to formulate hypotheses, plan and execute measurements/ROI analyses, share results with key leaders as well as drive meta-learnings Creating and maintaining yearly/half yearly calendar of measurement model delivery and ensure timely build and refresh of the models so that it can help in timely business decisions Actively scout new partnerships, concepts, and technologies that can be scaled across portfolio.
Promote data consistency globally to support common standards and analytics Partner with PepsiCo functional teams, agencies and third parties to build seamless process for acquiring, tagging, cataloging and managing all media, Nielsen and internal data periodically in structured format as needed for measurement statistical models Establish periodic data verification processes to ensure data accuracy Build strong relationships with key business partners across internal data science team, marketing and insights teams and media agency/platforms in adoption of learnings of market mix modeling Engage in R&D to try new modeling techniques to ensure faster and better answers to business problems.
Advance data engineering and products foundation for ROI Engineo Create and apply universal standards for common questions to drive consistent approach to address scale business needs around the world (eg, drill-down instructions, templates, automated solutions)o Develop and deliver training agenda for new hires to streamline onboarding and minimize the learning curve with common data sources and frequent questionso Develop and deliver training agenda for tenured associates on technical enablemento Manage assets in repository, execute meta-data tagging for all global content, and adopt asset to requirement, adhering the asset rights and guidelineso Maintain organization of asset management tools, maintain storage and sharing of digital assets, and edit digital assets as necessary throughout lifecylceo Create and evolve communication processes with Business Partners (project planning, workflow monitoring, quality checks, on-going changes)o Improve existing processes based on frequent end-user and Business Partner feedback loopo Support efforts to establish Sector vertical within SCC as a delivery point of contact for all regular reporting needs for Business Partners o Support simplification, standardization and digitalization efforts (in cooperation with global and sector stakeholders) People Responsibilities:People and Project Management Responsibilities Leading a team of 10-12 data scientists , product managers and data engineers and managing larger workforce of contractual resources Develop new skillsets among team members related to advanced analytics by conducting training and period review .
Promotes cross functional (Media COE and market insights and category teams) seamless communication, sharing know how and creating same quality of experience across sector markets Develop the Reporting team capabilities, motivation and engagement levelso Support subordinates and peers through mentoring & coaching in growing their functional and capabilitieso Set and monitor performance goals for evaluation of direct subordinates o Provide timely feedback on team member performanceo Build meaningful developmental paths for subordinateso Support team motivation and retention Capability development for new joinersQualificationsKey Skills/Experience Required An experienced Insight or Analytics professional with experience in a leading consumer goods company 10 years+ experience.
Education: Master's degree in Statistics, Machine Learning, Mathematics, Computer Science, Economics, or any other related quantitative field An equivalent of the same in working experience is also acceptable for the position Strong leadership and influencing profile in line with Insights Leader of the future definition: Motivates action through fact-based, inspirational material Has a track record of identifying and championing new processes for improving fact-based decision making Can synthe multiple, disparate data sources into compelling growth strategies Formulates a strong POV and can articulate future scenarios Is an exceptional story-teller.
Adept in data science and past experience in market mix models, Strong collaborator: Interested and motivated by working with others Actively creates and participates in opportunities to co-create solutions across markets will be willing and able to embrace Responsive Ways of Working Knowing the Business Cold: Can easily see how insights/research learning can improve businesses impact and frames up reporting efforts and opportunities to inform business decisions.
Experience in statistical models development (Probabilistic graphical models, marketing Mix Models, Market Basket Analysis, Cannibalization Models, Share of Market Forecast Models, General and Bayesian Regressions) Database management and programming capabilities (MUST) High degree of familiarity with CPG and Food & Beverage industry data sources, including Nielsen/IRi (POS and HH panel), GlobalData, Kantar Worldpanel, etc Deep understanding of CPG industry business performance outputs and causal measures, their relationships, and how to bring business performance insights to life visually.
The candidate will also have extensive experience solving analytical issues through quantitative approaches and machine learning methods as well as vast experience using advanced statistical methods, data mining techniques, and information retrieval The candidate will also have had experience working with big data technologies and vast experience with a programming language in the past, for example, Python & R Business savviness is key Managerial experience: Experience in building a high performing and highly engaged team.
Operational experience from business servicing sector and/or consulting experience would be a plus Fluent English - obligatoryDifferentiating Competencies Required Essential: world-class stakeholder management skills high degree of organizational savvy solution-oriented approach to problem solving.
depth and breadth of custom and syndicated research/analytics complete understanding of internal & external data sources that could contribute to the reporting and analysis function very strong analytical thinking with proven ability to connect data & insight from category consumption, brands drivers, macro & micro trends, and future forces of consumer change and deliver clear outlook scenarios along with implications for the business