Data Foundations Manager
If 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 society.
As a 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.
Lead the delivery of supply chain data foundation projects, ensuring alignment with client objectives and industry best practices.
# Identify and address clients' supply chain data needs and challenges.
# Oversee the design and implementation of scalable data architectures to support supply chain needs.
# Develop and manage data pipelines, ensure data quality, and integrate diverse data sources to provide actionable insights.
# Collaborate and lead multidisciplinary teams, including data engineers, data scientists, and supply chain domain experts.
# Define and structure project activity and best approaches, leveraging a detailed understanding of clients' problem statements and their specific business requirements.
# Mentor and support junior team members on supply chain data foundations and best practices.
# Ensure effective collaboration with offshore development teams and provide guidance to ensure quality deliverables.
8-10 years of experience in Data Foundations (Data Strategy, Data Governance, Data Modelling, Data Engineering, Data Architecture, and Visualization), especially in Supply Chain.
# Advanced understanding of building and managing data pipelines, data lakes, and data warehouses using cloud platforms (e.G., AWS, Azure, GCP).
# In-depth knowledge of supply chain processes, including procurement, logistics, inventory management, and demand planning.
# Expertise in data modeling, ETL processes, and data integration techniques.
# Extensive hands-on experience with 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 environment.
# Strong leadership and team management skills, with experience in mentoring and developing junior team members.
# Comprehensive familiarity with SAP, Oracle, or other ERP systems.
# Master's degree in mathematics, Engineering, Data Science, or related fields.
At 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. Medical, Life, and Accident Insurance.
# Individualized training itinerary.
# Employee network for diversity.
# Bankinter office with special conditions and profit sharing.
#Accenture is a leading global professional services company that helps the world's leading organizations build their digital core, optimize their operations, accelerate revenue growth and enhance services-creating tangible value at speed and scale. We are a talent- and innovation-led company with 774,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world's leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360 value, enable us to help our clients reinvent and build trusted, lasting relationships. 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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