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SAP Project Manager - Master Data Governance

Talent Corner HR Services
10 - 18 Years
Multiple Locations

Posted on: 04/05/2026

Job Description

Role : SAP Project Manager - Master Data Governance


Roles and responsibilities :

The project focuses on implementing a brand-new, enterprise-grade Master Data Governance (MDG) solution to replace the legacy MDG platform. The new MDG will serve as the single, centralized source of truth for all master data objects (customer, supplier, material, product, financial master data), unify data creation & update workflows, eliminate data silos, resolve ongoing data quality issues (rooted in poor governance, unclear ownership, missing access controls & high operational complexity), and integrate seamlessly with S/4HANA, Salesforce, Ariba, Snowflake, ORBIS, XAPIEN, GTS and other core business systems.


The end goal is to establish robust data governance, enforce validation rules, streamline cross-enterprise processes, and deliver fully reliable, compliant master data across the business.


Expected experience, skill sets and abilities :


End-to-End Project Governance & Strategic Planning :

- Develop and own the full project charter, detailed implementation roadmap, work breakdown structure (WBS), budget, timeline, risk register and governance framework tailored specifically to the legacy MDG replacement and new MDG implementation, aligning all milestones with cross-system integration timelines.

- Define clear project scope, acceptance criteria and governance rules; strictly manage scope creep, especially for future additional requirements and customizations for customer, supplier and other master data domains.

- Establish cross-functional governance alignment, clarify master data ownership across all domains (customer, supplier, material, product, finance), and enforce access control & data stewardship protocols as part of project delivery.

- Lead regular project governance meetings, provide transparent progress, risk and milestone reporting to executive stakeholders, and secure timely decisions for critical integration & customization roadblocks.


2. Legacy MDG Decommissioning & Data Migration Oversight :


- Oversee the full lifecycle of legacy data extraction, cleansing, deduplication and migration from the old MDG to the new MDG, ensuring 100% data integrity, accuracy and completeness with zero business disruption.

- Coordinate the sunsetting of legacy MDG and the discontinuation of Gravity-dependent processes, transitioning all hierarchy setup, data request and master data workflows to the new centralized MDG platform.

- Manage full data validation and reconciliation post-migration, resolving historical data quality issues rooted in poor legacy governance and unregulated access.


3. Cross-System Integration Management :


- Oversee the design, development, testing and deployment of all bi-directional & uni-directional integrations between the new MDG and all dependent systems.

- Coordinate with internal IT teams, external vendors and system admins to resolve integration errors, latency issues and data sync failures; ensure stable, real-time (or scheduled) data flow across all connected platforms.

- Manage third-party vendors & integration partners, negotiate SLAs, supervise delivery and hold partners accountable to project timelines and quality standards.


4. Risk, Budget & Quality Control :


- Identify, mitigate and escalate project-critical risks including integration failures, data

migration errors, delayed system go-lives, stakeholder misalignment and budget overruns.

- Manage full project budget, track expenditures, approve resource costs and ensure delivery

within approved financial boundaries.

- Enforce strict data quality and testing standards, overseeing UAT, integration testing and cut-

over activities to ensure the new MDG resolves existing pain points (unclear governance, poor

access controls, inconsistent data).


5. Stakeholder & Change Management :


- Align cross-functional stakeholders including business data stewards, finance, procurement,

sales, risk, IT and compliance teams to drive adoption of the new MDG and standardized

master data processes.

- Lead organizational change management to transition users from legacy MDG, Gravity and

fragmented workflows to the centralized MDG platform, minimizing resistance and ensuring

operational continuity.

- Coordinate full project handover to post-go-live support and operations teams, complete with documentation, training and troubleshooting protocols.


Soft Skills :


- Strong leadership, communication, and problem-solving skills.

- Ability to manage multiple priorities and work under pressure.

- Excellent organizational and analytical skills.

- Ability to lead cross-functional, cross-system technical projects and manage multiple external

vendors simultaneously.

- Strong risk mitigation, problem-solving and decision-making skills in a complex integration landscape.

- Excellent stakeholder communication, executive reporting and change management capabilities.

- Proficient with project management tools (MS Project, Jira, Smartsheet) and cross-system integration logic.

- Ability to adapt to evolving business requirements and future additional scope.


Mandatory Qualifications :


- Bachelors degree in Computer Science, Information Technology, Business Administration or related field; Masters degree preferred.

- 10+ years of hands-on IS/IT project management experience, with proven delivery of enterprise SAP MDG implementation and legacy system replacement projects.

- Demonstrated experience leading complex system integration projects connecting SAP MDG solutions with S/4HANA, Salesforce, Ariba, Snowflake and third-party enterprise tools.

- Formal project management certification : PMP, PRINCE2, CSM or equivalent; CDMP/DAMA Data Governance certification is a strong priority.

- Deep understanding of master data domains (customer, supplier, material, product, finance) and data governance principles (access controls, data ownership, validation rules, stewardship).

- Experience managing legacy system decommissioning, full data migration and historical data quality remediation.

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