Associate Director, Procurement Data Science (Direct Procurement)

Job Description

The Associate Director, Data Science (Procurement) is a visionary role focusing on aligning procurement analytics with business strategies, driving the adoption of data-driven decision-making, and enhancing the overall analytical capabilities within the procurement function. This senior position is responsible for leading the development of analytical models, fostering strategic partnerships, and ensuring that analytics effectively enable procurement objectives.

Responsibilities:

Identify future analytics needs and trends, developing capabilities that position the procurement function at the forefront of data-driven decision-making.

Establish strong partnerships with category leads to understand and anticipate their analytical needs across business areas – Operations, R&D, Commercial, etc.

Collaborate with category leads and peer teams to define and create analytical products tailored to specific category needs, including definition of the data domain and standards for data enrichment.

Lead the development of advanced analytical models and tools for use cases across procurement, ensuring they effectively meet the needs of category leads and procurement teams.

Collaborate with various procurement stakeholders to integrate analytics into everyday procurement activities and decision-making processes.

Collaborate with the Analytics & Reporting team and Tech & Systems teams to oversee the development of analytics capability and industrialization across procurement on enterprise approved platforms.

Oversee and maintain the governance of advanced analytics processes, documenting lineage and transformation of data products.

Asses and report on the performance of analytics initiatives continually, driving improvements and ensuring they adapt to changing business needs.

Keep pace with advancing data science applications & methods and collaborate with Tech and Systems teams to operationalize solutions enhancing analytical capabilities.

Manage and guide a team of employees, fostering a culture of innovative problem solving and continuous improvement. Build and maintain the team’s capabilities to effectively execute analytics strategy, ensuring team members possess the necessary skills and tools to excel in their roles.

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