Manage the data capabilities technical, process and people management for Supply Chain
Ability to serve a user group of around 80 members of the Supply Chain team.
Collaborate with primary partners like finance/controllership team as the gatekeepers/providers of data for Supply Chain
Ensure the support and enhancements for data models supporting Operations, Fulfillment, Transportation, Finance, functions of Supply Chain including small and large products.
Ensure prioritization and work balancing across a group of Sr. Data Analysts.
Create a vision and roadmap to be SMART and aligned with Supply Chain goals.
Create a collaborative framework to work with key Supply Chain stakeholders, assess the business opportunity, identify gaps and build business cases for data capabilities.
Lead a diverse Supply Chain data capabilities to provide work direction, performance manage, mentor, and develop tools to build high quality scalable, effective data solutions.
Own end to end Supply Chain request management process for data capabilities beginning from the intake, prioritization, planning, estimation, delivery, testing, deployment, and post-deployment support.
Collaborate with all internal Supply Chain and external functions like Services, RDR, Retail, Finance, controllership, Inv. Control to design the most effective and scalable systemic and data solutions.
Spearhead the adaptation of industry standard data technologies to improve all aspects of end to end lifecycle of a data capability delivery.
Collaborate with the Enterprise IT data team (RASC) to deliver and manage IT delivered data solutions.
When needed jump into the details and play various roles of BA, Dev, support as needed.
5 years experience in SQL coding
5 years experience in at least one ETL tool
5 years experience in at least one Business Intelligence/Analytical tool. (E.g. QlikView, Tableau, BOBJ)
3 years experience directly or indirectly leading a Data warehousing/Business Intelligence delivery team
Experience with Software Development Life Cycle.
Experience with Advanced Analytical programming (R, Python, and relevant tools)
Bachelors in Data Science or STEM degree
Experience in some project management framework/Agile delivery model.