1+ months

Enterprise Data Operations Assoc Manager

Plano, TX 75074
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Responsibilities PepsiCo operates in an environment undergoing immense and rapid change. Big-data and digital technologies are driving business transformation that is unlocking new capabilities and business innovations in areas like eCommerce, mobile experiences and IoT. The key to winning in these areas is being able to leverage enterprise data foundations built on PepsiCos global business scale to enable business insights, advanced analytics and new product development. PepsiCos Data Management and Operations team is tasked with the responsibility of developing quality data collection processes, maintaining the integrity of our data foundations, and enabling business leaders and data scientists across the company to have rapid access to the data they need for decision-making and innovation. What PepsiCo Data Management and Operations does: Maintain a predictable, transparent, global operating rhythm that ensures always-on access to high-quality data for stakeholders across the company Responsible for day-to-day data collection, transportation, maintenance/curation and access to the PepsiCo corporate data asset Work cross-functionally across the enterprise to centralize data and standardize it for use by business, data science or other stakeholders Increase awareness about available data and democratize access to it across the company Job Description As a member of the data engineering team, you will be the key domain expert overseeing PepsiCo's business process and drive a strong discussion for how Supply Chain, Financial, Consumer, Channel, Category business needs to be defined and prioritize by working very closely with business leads, data science team and data engineering team. You'll develop an in-depth understanding of business processes in and translate business requirements to data engineering team in technical way. Accountabilities Discover, analyze, and scope data requirements & representing them in conceptual and logical data models Gather and analyze data pertaining to various business processes such as forecasts, capital requirements, inventory, logistic, manufacturing and production capacity to develop supply chain models. geographics, POS, pricing and promotion, store profile, e-commerce data to develop channel models. Create high-level process models (system interface diagrams, workflow & swim lane diagrams, data flow diagrams) to represent processes for the area under analysis Empower the business by creating value through the increased adoption of data, data science and business intelligence landscape. Responsible to improve the quality of data in relation to defined expectations Perform analysis of system data to identify patterns, exceptions, and erroneous data Qualifications Qualifications 6+ years of experience with data analysis & data profiling in project, business requirements definition or data engineering in CPG or Manufacturing Industry. 5+ years work experience in the areas of Distribution Network Analysis, Manufacturing, Production Network Optimization, Transportation, Demand Planning, or other areas related to Supply Chain or other domains such as Financial, Consumer, Channel, Category etc. 4+ years of strong Data Profiling experience & ability to identify trends and anomalies in the data to in-form data model build out. Experience in working with Datasets from POS Aggregators such as IRI, Nielsen, Kantar etc. Experience working with structured/unstructured datasets, ability to clearly document and communicate requirement to technical team members. Experience with Business Intelligence tools, SQLTools. Education Bachelors Degree in Supply Chain and/or Operations Management is Required, Masters Preferred. Competencies Strong knowledge and understanding of Supply Chain data elements and processes per the necessary in-scope data domain (i.e., Customer, Material, Vendor) Ability to translate business requirements into critical data dependencies and requirements Able to challenge and align various stakeholders to a common set of standards Self-starter with excellent written & verbal communication skills. Self-learner and eager to understand data, business processes, concepts, and technologies. Note : COVID-19 vaccination is a condition of employment for this role. Please note that all such company vaccine requirements provide the opportunity to request an approved accommodation or exemption under applicable law. EEO Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. PepsiCo is an Equal Opportunity Employer: Female / Minority / Disability / Protected Veteran / Sexual Orientation / Gender Identity If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law & EEO is the Law Supplement documents. View PepsiCo EEO Policy. Please view our Pay Transparency Statement","location_name":"TX-Plano-7701a-HDQ-TX224B","street_address":"7701 Legacy Dr","city":"Plano","state":"Texas
Posted: 2022-09-13 Expires: 2022-12-23

Performance with Purpose

Out performing ourselves is a rush. That's why we perform with purpose. Together, we blaze new trails, succeed, celebrate and then do something even bigger. We never settle for second best. At PepsiCo we're not just committed to performing well as individuals, but as a team, to strengthen the company as a whole.

Around the world, we're working hard to give people the tastes they crave and the nutrition they need. We dream globally and act locally, constantly innovating to sustain our planet, our people, our communities and our business practices. New markets mean new ways of doing business, and new ways of addressing health concerns, cultural differences and environmental challenges. Every day is an adventure, and an opportunity for personal and professional growth.

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Enterprise Data Operations Assoc Manager

PepsiCo Inc.
Plano, TX 75074

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