SAP Master Data Governance Lead

UBS • Commercial & Retail Banks • Master Data Management • 5 days ago
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Salary
≈ $17k – $38k per year (Estimated)
Location
In office (India)
Seniority
Staff

Confirmed on the employer's own hiring board on Oct 15, 2026. First seen by Alion on Sep 29, 2026. UBS scores B on the Alion truth index.

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UBS

Headquartered in Zurich, Switzerland, UBS is a leading global financial services firm and one of the world's largest wealth managers. The company provides a comprehensive range of solutions, including private banking, personal and corporate banking, asset management, and investment banking services. Operating in major financial centers across the globe, the institution assists high-net-worth individuals, corporations, and institutional clients in managing and growing their assets.
ubs.com • HQ: Zurich, Switzerland • Asset Management & Funds • Investment Banking & M&A Advisory • Wealth Management & Financial Advisors • Commercial & Retail Banks • 5000+ employees • Est. 1998
Tech stack of UBS
Backed by Blue Lion
Do you enjoy shaping how finance master data is governed across a complex SAP landscape?

Are you passionate about improving data quality, driving automation, and creating scalable governance processes?

Do you want to play a key role in finance transformation initiatives while influencing best practices and helping others grow?

We are looking for an SAP MDG Lead to join our Finance Centre of Excellence and oversee the quality, consistency, and governance of master data across our SAP Finance landscape. In this hands-on leadership role, you'll combine deep SAP MDG expertise with operational ownership, process improvement, and stakeholder collaboration.

own the day-to-day maintenance, quality, and governance of finance master data, including GL accounts, cost objects, and business partner data

design, configure, and continuously improve SAP MDG data models, workflows, and validation and derivation rules

act as the escalation point for master data issues, resolving data quality incidents and driving corrective actions

partner with business and technology stakeholders to translate requirements into governed, repeatable processes and controls

define and maintain operational procedures, controls, runbooks, and service level agreements for master data management

support finance transformation initiatives through data migration, testing, cutover activities, process automation, and knowledge sharing

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