4–8 years in data analytics, process automation, or operations roles within P2P, procurement, or finance — with demonstrable examples of automations or data products you built, shipped, and scaled yourself.
Hands-on technical skills: SQL and Python (or equivalent), workflow and integration tooling (iPaaS, RPA, or native platform automation), and dashboarding/BI. Experience building on the Databricks platform and applying LLM/AI tooling to business workflows is a strong plus.
Working knowledge of P2P systems and data — ERP (SAP or NetSuite), procurement intake/orchestration platforms (ZIP or similar), and expense management tools — including how transactions, approvals, and master data flow between them.
Experience operating within a data governance framework: certified data sources, data quality standards, access controls, and audit/SOX considerations — comfortable moving fast without going around governance.
Change management fluency: track record of driving adoption of new tools or processes through training, communications, champion networks, and adoption metrics — not just deploying and moving on.
Strong prioritization judgment and stakeholder management: able to run a busy intake, say no with a rationale, and communicate crisply to audiences from frontline requesters to executives.
Experience in a high-growth, multi-entity organization (multiple subsidiaries/geographies) is a plus; formal change management certification (Prosci, ADKAR, or equivalent) or process improvement certification (Lean/Six Sigma) preferred but not required.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
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Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. 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 click here.
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.
About Databricks
Technology1,001-5,000Founded 2013
Unified data analytics and AI platform built on Apache Spark