Sr. Technology Partner Director, Business Applications at Databricks · LumiJobs

Responsibilities

Business process ownership. Own designated P2P sub-processes end to end — intake-to-PO, invoice exception handling, supplier onboarding, expense workflows — including process mapping, baseline metrics (cycle time, touch rates, exception volumes), and redesign. Act as the recognized process owner who is accountable for how the process performs, not just how it is documented.
Requirements & solution design. Translate pain points raised by requesters, approvers, buyers, and AP into structured requirements and solution designs. Work within the Finance Data Strategy governance framework for data definitions, source-of-truth alignment, access controls, and quality standards — solutions must tie to certified Finance data, not shadow datasets.
Embedded automation. Design, deploy, and scale automations directly within business workflows and the systems where work actually happens (ZIP, SAP, NetSuite, expense platform, BrickBuy) — including AI/LLM-assisted triage, auto-routing, data enrichment, exception auto-resolution, and notification/nudge logic. Build in production-adjacent environments with appropriate guardrails rather than standalone tools users must remember to visit.
Rapid iteration. Operate on a ship-measure-iterate cadence: release minimum viable automations in weeks, instrument them from day one, and refine based on usage data and user feedback. Maintain sandbox-to-production discipline consistent with Finance Data Strategy and SOX/control requirements.
Data & measurement. Build and maintain the P2P datasets, dashboards, and metrics that the transformation runs on — cycle time, Fast Pass performance, first-pass yield, policy compliance, automation coverage, and adoption rates — and report against them in existing operating rhythms (e.g., quarterly business reviews), with numbers that tie across reports and to source data.
User adoption & change management. Own the adoption of what you build. Design role-based training and enablement for affected requesters, approvers, and P2P operations staff; produce launch communications, FAQ/help content, and go-live announcements in a style consistent with executive reporting norms (concise, structured, blockers called out explicitly); run feedback loops with change champions across subsidiaries; and actively identify and mitigate resistance rather than assuming usage will follow deployment.
Day-to-day prioritization. Run the intake and backlog for automation and data requests across Procurement: triage incoming asks, prioritize by value, effort, and risk, publish a visible roadmap, and make defensible trade-off calls daily — protecting capacity for transformation priorities while handling operational requests.

Qualification

Stakeholder engagement4–8 years in data analyticsHands-on technical skillsChange management fluencyExperience in a high-growthPay Range TransparencyZone 1 Pay Range

Required

Stakeholder engagement. Partner closely with Procurement operations, the Finance Data team, the CIO org, and managed services partners; represent Procurement in Finance Data Strategy governance forums; and ensure automation work lands coherently alongside parallel workstreams (expense platform migration, BrickBuy rollout, Global Procurement Policy adoption, managed services transition).
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.

Preferred

SAP S/4HANA Associate or Professional certification for a relevant module, and SAP Activate methodology experience.
Certification or training in SAP Process Intelligence, or experience with Celonis or other process mining vendors.
Hands-on experience delivering at least one AI-assisted process improvement in production.
Familiarity with the SAP AI and extension stack (BTP, AI Core, Joule) and a point of view on build-versus-adopt tradeoffs against a Databricks-native approach.
Experience working alongside data teams to make ERP data usable for analytics and AI on modern data platforms (such as Databricks), and prior work in a high-growth technology company where ERP had to scale quickly.
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.

Sr. Technology Partner Director, Business Applications

Responsibilities

Qualification

Required

Preferred

Benefits

Company

Databricks

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