[ref. j21509416] Madrid - Manager Data Foundations For Supply Chain

apartmentAccenture placeMadrid calendar_month 

MadridJob No. r00251557Full-timeDescripción Del PuestoIf you are ready to lead the total reinvention of the company through technology and data, you have an opportunity to join the Accenture team and change the future of our clients and societyRole:As an Manager in Supply Chain Data Foundations (Data Strategy, Data Governance, Data Modelling, Data Engineering, Data Architecture and Visualization), you will play a pivotal role in enabling our clients to build and scale robust data foundations that drive supply chain optimization.

You will be part of the growing team leading innovative projects and work directly with clients to transform their supply chain operations through data-driven insights and cutting-edge technologies.Key ResponsibilitiesLeadthe delivery of supply chain data foundation projects, ensuring alignment with client objectives and industry best practicesIdentify and addressclients’ supply chain data needs and challengesOverseethe design and implementation of scalable data architectures to support supply chain needsDevelop and managedata pipelines, ensure data quality, and integrate diverse data sources to provide actionable insightsCollaborateand leadmultidisciplinary teams, including data engineers, data scientists, and supply chain domain expertsDefine and structure project activity and best approaches, leveraging a detailed understanding of client’s problem statements and their specific business requirementsMentor and supportjunior team members on supply chain data foundations and best practicesDrive the development of tools, frameworks, and assets to accelerate delivery and value creationSupportthe management team on client proposals and other sales activitiesEnsure effective collaborationwith offshore development teams and provide guidance to ensure quality deliverablesSkills you will need:8-10 years of experience in Data Foundations (Data Strategy, Data Governance, Data Modelling, Data Engineering, Data Architecture, and Visualization), especially in Supply ChainAdvanced understandingof building and managing data pipelines, data lakes, and data warehouses using cloud platforms (e.g., AWS, Azure, GCP)In-depth knowledgeof supply chain processes, including procurement, logistics, inventory management, and demand planningExpertisein data modeling, ETL processes, and data integration techniquesExtensive hands-on experiencewith coding and visualization technologies and tools such as SQL, Python, Power BI, Tableau, etc.Proven track record in delivering data-driven projects in a consulting or corporate environmentExcellent communication and stakeholder management skills, with the ability to engage both technical and non-technical audiencesStrong leadership and team management skills, with experience in mentoring and developing junior team membersComprehensive familiaritywith SAP, Oracle, or other ERP systemsMaster’s degree in mathematics, Engineering, Data Science, or related fieldsRequisitosAt Accenture, a company recognized as a Great Place To Work, we are committed to a hybrid work model that, thanks to technology and our facilities, allows us to maintain the essential human connection to work with our teams and clients.

This connection enables us to uphold our culture of inclusion and diversity and to be, according to Refinitiv, the most diverse company in the world.Additionally, we offer you other benefits such as:Medical, Life, and Accident InsuranceMedical service and wellness programsFlexible compensation program and stock purchase planFlexibility programs (scheduling, days off, vacations...)Individualized training itinerarySustainability programs and Accenture FoundationEmployee network for diversityOther benefits: Bankinter office with special conditions and profit sharing#LI-EU Todas las decisiones de empleo se tomarán sin importar la edad, raza, credo, color, religión, sexo, origen nacional, ascendencia, grado de discapacidad, estado de veterano, orientación sexual, identidad o expresión de género, información genética, estado civil, estado de ciudadanía o cualquier otro motivo o circunstancias protegidas por las leyes federales, estatales o locales.

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