What You'll Do
Own Functional Design: Lead end-to-end process discovery and AS-IS/TO-BE design for major finance processes (Record-to-Report, Source-to-Pay, Order-to-Cash), define S/4HANA solution scope, and design to standard, clean-core capabilities wherever possible.
Configure S/4HANA: Own functional configuration, business rules, and master-data strategy for your domain, and partner with developers on extensions, APIs, and orchestration where standard functionality falls short.
Drive Process Intelligence: Use process mining and business process intelligence (leveraging SAP Process Intelligence and related tools) to identify root causes, quantify opportunity, and prioritize improvements; translate those findings into concrete S/4HANA requirements.
Shape the AI & Agentic Layer: Define the requirements for AI-assisted and agentic process improvements—task automation, intelligent recommendations, anomaly detection, and generative assistants—and make clear judgments about where AI belongs in a controlled, auditable process, where human-in-the-loop is required, and where a deterministic rule is the better answer.
Bridge Business and Engineering: Serve as the connective tissue between Finance process owners and the engineering pods, partnering with architects and developers to embed AI safely and to define the data flows between S/4HANA, process intelligence tools, SAP BTP, and Databricks AI.
Run Workshops and Validate Value: Facilitate stakeholder workshops to validate business value, define acceptance criteria, and lead user acceptance testing for both functional and AI features.
Measure Outcomes: Define KPIs and track ROI for process improvements—cycle time, touchless transaction rate, exception and manual-touch reduction, adoption—and build the business cases for prioritized automation and AI initiatives.
Enable Adoption: Coach and upskill process owners and functional teams on process intelligence, best practices, and AI adoption, and drive readiness and change management for what you ship.
What You Bring
6+ years of SAP functional consulting experience, with hands-on delivery across at least one full S/4HANA lifecycle and deep expertise in one or more finance domains—Record-to-Report, Source-to-Pay, or Order-to-Cash—plus working fluency in adjacent areas and in master-data governance.
Process Intelligence: Demonstrated experience leading process discovery, process mapping, and process mining using SAP Process Intelligence or equivalent BPI tools, and translating mining outputs into solution requirements.
Clean-Core Mindset: Strong bias toward standard, clean-core S/4HANA design, with sound judgment about when a requirement genuinely warrants an extension versus a change in process.
AI & Agentic Automation: Practical experience applying Databricks AI and agentic capabilities to enterprise processes, with strong judgment on where AI can drive automation and decision support while maintaining appropriate governance, controls, auditability, and human oversight.
Integration Awareness: Solid understanding of integration patterns (APIs/OData, IDoc, SAP Integration Suite / BTP) and the data requirements that feed process mining and AI models.
Governance Rigor: Working knowledge of SAP authorizations, SoD, SOX and audit requirements, and the ability to design processes and automation that satisfy them.
Stakeholder Leadership: Excellent workshop facilitation, stakeholder management, and change-management skills, and the ability to present executive-level ROI and translate technical capability into measurable business value.
Business-First Mindset: Pragmatic, outcome-driven approach to reducing process waste and risk, and comfort leading through ambiguity across complex business and IT landscapes.
Preferred Qualifications
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.
Zone 1 Pay Range
$149,500—$205,600 USD
About Databricks
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.
