GAQ125R85
This is a hands-on position with the unique opportunity to support and contribute to the development of the Databricks Procurement function and drive spend under management across the organization. You will support the Procurement function with a specific focus on Vendor Management. The role will research, select and support processes and systems for vendor engagement, metrics tracking and reporting, purchase requisitions and contract management.
The impact you will have:
- Own and lead the Global Vendor Management program within the broader Procurement process
- Standup vendor metric tracking across systems and maintain vendor specific KPIs (cycle time, risk, performance, compliance, etc.)
- Support key stakeholders Sourcing, Accounts Payable, and Treasury to enable seamless vendor transactions
- Own vendor Banking Validation process
- Collaborate with Procurement Operations team to maintain the procurement internal website and training materials for Vendor Management
- Evaluate and optimize vendor management program with specific focus on efficiency and automation
What we look for:
- 2+ years in a procurement operations role - focus on Vendor Management a plus.
- Able to work independently within a collaborative, distributed team environment.
- Experience training and coaching internal and external stakeholders on procurement processes
- Effective problem solving, planning, and project management skills.
- Excellent relationship management skills, as well as the ability to work collaboratively with suppliers and build strong stakeholder relationships.
- Highly organized multi-tasker who can prioritize in a fast paced environment.
- Strong analytical and problem-solving skills.
- Process and customer service driven with a self-starter mentality.
- Experience with procure-to-pay systems (Coupa, ZIP, Netsuite, Ironclad).
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
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What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
