Sap commissions

You enjoy making compensation math compute . Give you a plan with accelerators, draws, caps, overrides, SPIFs—and you’ll turn it into clean, explainable logic. You sanity‑check inputs, dry‑run the calc with masked UAT data , and reconcile to the penny before payroll. When something bends, you roll forward/back fast, document the fix, and make the next cycle calmer. “Works on my laptop” isn’t your style—your laptop mirrors prod with seeded files, contract checks, and repeatable jobs. Mission: Make commissions correct and on time —every cycle, with clear audits. Outcomes (12 months) Accuracy: ≥ 99.9% calc accuracy on priority plans; 0 Sev‑1 payroll misses. Speed: New/changed plans from signed design → prod in ≤ 4 weeks ; minor CRs in ≤ 3 days . Data quality: Automated checks cover ≥95% of inbound records; reject rate trending down quarter over quarter. Reconciliation: Variance < 0.2% by T+1 of payroll; disputes resolved within SLA. Documentation: 100% coverage of plans, crediting, rate tables, data mappings, and runbooks. What you’ll do Implement & configure SAP Commissions (Callidus Cloud) : plans, crediting rules, rate tables, quotas, calendars, territories/positions, hierarchies, and effective‑dating/versioning. Build/operate Data Loader jobs and integration pipelines from CRM/ERP (Salesforce, SAP, Oracle); design mappings, dedupe/identity resolution, and load schedules. Translate U. S. sales comp models (accelerators, draws, caps, guarantees, ramps, overrides, SPIFs, quota attainment) into precise system logic. Create unit/system tests , perform end‑to‑end UAT with masked data, and validate results against back‑of‑the‑envelope math. Own reconciliations to payroll outputs; investigate variances with SQL and source data trails. Configure statements/reports, disputes/adjustments, and support enhancement cycles. Keep technical docs tidy: configuration specs, data dictionaries, test cases, and runbooks. How you’ll (sensibly) use Gen AI & modern tools Use Cursor/Copilot to draft SQL, generate edge‑case test data , and scaffold documentation—then verify every result. Use scripts/notebooks to sanity‑check rate tables, tiers, and crediting with quick visualizations. How we work (principles) Contracts before config. Lock plan logic & data contracts before loading. Mirror prod safely. Masked prod‑like data in UAT; repeatable jobs; no “works on my laptop.” Auditability over mystery. Every payout is explainable; logs and version history matter. Horses for courses. Spreadsheets for discovery, configs for production, SQL for truth. Small changes, fast feedback. Short cycles beat big‑bangs. Required qualifications 3–8 years hands‑on with SAP Commissions (Callidus Cloud) configuration and data validation. Strong grasp of U. S. sales compensation models (base + variable, accelerators, draws, caps, overrides, SPIFs, quota/attainment, territory‑based incentives). Proficiency in SQL for analysis and troubleshooting; comfort with Data Loader and reporting modules. Experience validating CRM/ERP feeds and end‑to‑end data flows; high attention to detail; self‑directed delivery. Nice to have Exposure to payroll cycles, SOX/controls, dispute workflows, and audit requirements. Familiarity with Salesforce data model, SAP/Oracle ERP feeds, ETL tools, or a cloud data warehouse. Scripting (Python) for data prep; dashboarding (Looker Studio/Tableau/Power BI). We are supporting a sister concern through a groom‑and‑place engagement. Candidates will be assessed, coached, and transitioned to an external opportunity . Employment will be with the external organization, not with Numberz.ai.