Tech Stack
AWSAzureCloudETLInformaticaMySQLOraclePythonRPASQL
About the role
- Lead data, analytics, and technology efforts reporting to the Head of Procurement
- Drive development and execution of analytics strategies supporting business growth, operational efficiency, and innovation
- Lead a team of data analysts and oversee Vendor Management–wide data initiatives
- Foster a data-driven culture and ensure delivery of actionable insights through advanced analytics and business intelligence
- Create strategy to establish an authoritative Vendor Management data solution
- Provide strategic leadership: develop and execute comprehensive data analytics strategy and collaborate with senior leadership to prioritize analytics opportunities
- Responsible for data governance and infrastructure; ensure data quality, integrity, and security and partner with IT to maintain scalable data infrastructure
- Partner across Vendor Management and technology teams; maintain KPIs, dashboards, and management tools
- Support continuous process improvement initiatives and deliver custom complex analytics and executive materials
- Develop solutions and tools to proactively identify supply chain opportunities and translate findings into actionable information on spend patterns, purchasing behavior, cost drivers and savings opportunities
- Participate in internal strategic initiatives, sourcing projects, and other special projects requiring subject matter expertise
Requirements
- 10+ years of work experience in data, analytics, and reporting or a related field
- Proven success building and leading a high performing analytics function
- Strong track record of delivering measurable business impact through data
- Excellent verbal and written communication, relationship building, and interpersonal skills
- Strong organizational navigator and teammate who finds common ground and can gain alignment among management, colleagues, and peers
- Analytical business problem solver who can ask questions, and use analytics to frame problems, opportunities, and solutions
- Advanced statistical analysis and modeling
- Proficiency with Machine Learning and AI principles
- Advanced understanding of data visualization and storytelling concepts including expertise with one or more BI Platforms
- Experience with Data platforms (MySql, Snowflake, Oracle) and database architecture and design principles
- Experience and expertise with data mining, movement, integration, ETL and automation tools (SQL, Python, R, Informatica, Alteryx, Blue Prism/RPA)
- Experience with use of APIs to extract data from cloud services (SAP, AWS, Azure)
- Certifications: Category: Procurement
- Note for FINRA-registered internal employees: may impact registrations and should discuss with hiring manager