Work with clients to understand their supply chain analytics requirements and develop data platforms that meet their needs.
Review supply chain analytics use cases and collaborate with cross domain functional and data teams to build optimized and industry aligned data models
Design and develop data platforms, including data warehousing, data lakes, and data integration platforms.
Build a robust end to end data architecture embedded with a comprehensive data quality framework integrated with enterprise data governance principles
Work with clients to develop data models, including entity-relationship diagrams, data dictionaries, and data quality rules.
Develop and maintain data governance policies and procedures to ensure data accuracy, completeness, and security.
Design and implement data integration solutions, including data mapping, data transformation, and data quality control.
Design and implement data governance framework for ongoing management of mater data, data products and any other processed data for analytical use cases.
Review and lead efficiency of the master and transactional data streaming from ERPs, Inventory Systems, Forecasting and planning systems, supply chain delivery and execution custom apps and MES systems to build data models for scalability.
Work with clients to develop business intelligence reports and data visualizations to provide insights into supply chain performance and trends.
Collaborate with data scientists and analysts to develop predictive models and analytics solutions to optimize supply chain operations.
Ensure compliance with data security and privacy regulations, such as GDPR and HIPAA.
Develop and maintain technical documentation, including data architecture diagrams, data flow diagrams, and technical specifications.
Influence the enhancement and evolution of the data & analytics platform while onboarding a range of use cases across supply chain domains
Stay up-to-date with industry trends and emerging technologies in data platforms and analytics.