Master Data Specialist - Finance Master & Costing

Job description

Job title: Master Data Specialist Finance Master & Costing The Opportunity: The Master data specialist will work on cleanup and sustainment for material valuation data (MBEW, EBEW, valuation classes), standard cost estimates, cost center and profit center master, G/L master, activity types, internal order master, and the costing variants that govern how value flows through the system How you'll make an impact: - Execute finance master cleanup - Personally execute valuation class consistency across MBEW and EBEW; reconcile valuation class assignments to G/L account determination (OBYC). - Maintain G/L master (FS00, FSP0 / FSS0), cost center master (KS01 / 02 / 03), profit center master (KE51 / 52 / 53) including standard hierarchies (OKEON, KCH5N). - Cleanse internal order master (KO01 / 02 / 03), activity types (KL13), and statistical key figures (KK01 / 02). - Execute product costing cleanup - Run standard cost estimates (CK11N for individual materials, CK40N for costing runs) on remediated material masters; release via CK24. - Maintain activity prices (KP26) and ensure costing variant configuration (OKKN) is consistent with current operations. - Reconcile cost component splits against expected margin structure; flag drift appropriately. - Operate material price changes (MR21) where standard cost requires intervention outside the costing run cadence. - Resolve cross-domain breaks end-to-end - Diagnose when a finance defect originates upstream material master (valuation class, price control, standard cost), info records (PO price variance), vendor master (payment terms), customer master (terms of payment) and resolve at source. - Pair with the Material Master Specialist on valuation class realignment; with Procurement & Info Records on price variance investigations; with Customer & Pricing on margin reporting drift. - Close gates and sustain - Operate Process Runner, Precisely Automate Studio, and MASS for high-volume finance master and costing data updates. - Maintain the Defect Register for finance domain; feed coverage %, defect rate, and cycle-time inputs into the KPI Dashboard. - Sign off Exit Gate Checklists at the three Definition of Done levels. - Hand off sustainment patterns to BAU when a wave clears target DOD. Your background: - Experience: 8+ years hands-on SAP master data execution with documented volume in finance domain has personally maintained valuation classes, executed costing runs, and cleaned cost / profit center hierarchies at scale. - End-to-end domain knowledge: Working understanding of how master data flows across all six domains and how finance data sits downstream of material, vendor, customer, pricing, and info records. - Finance master depth: Fluent across MBEW, EBEW, SKAT / SKA1 / SKB1 (G/L), CSKS / CSKT (cost centers), CEPC / CEPCT (profit centers), AUFK (internal orders), valuation classes, account determination (OBYC, OBYK). - Costing depth: Hands-on with costing variants (OKKN), cost component structures, standard cost estimate (CK11N, CK40N), cost release (CK24), activity prices (KP26), and material price changes (MR21). - Transaction fluency: FS00, KS01 / 02 / 03, KE51 / 52 / 53, KO01 / 02 / 03, KL13, CK11N / CK24 / CK40N / CK13N, MR21, OKEON, OKKN, MASS, MDG\\_SW, SE16N used daily. - Mass maintenance tooling: Hands-on with Process Runner, Precisely Automate Studio, or LSMW. - Investigation skill: Comfortable running working sessions with Controlling, Finance, Operations, and Engineering SMEs to trace finance master defects to their upstream sources. - Bias to action: Energized by high-volume execution. Closes records, not tickets. Preferred Qualifications - Experience with COPA characteristic derivation and value field structures. - Familiarity with parallel valuation, transfer pricing, or multiple ledger scenarios in S/4HANA. - Exposure to S/4HANA Universal Journal (ACDOCA) and the unification of FI and CO. - Background in industrial, capital equipment, or power generation finance operations. - Experience in post-SI environments and remediation of go-live data debt at the finance layer.