Project Manager Opportunity – Master Data Governance / MDG Contract
End‑to‑End Project Governance Strategic Planning
Develop and own the full project charter, detailed implementation roadmap, WBS, budget, timeline, risk register and governance framework tailored to the client’s legacy MDG replacement and Robotics MDG implementation, aligning all milestones with cross‑system integration timelines.
Define Clear Project Scope
Establish scope, acceptance criteria and governance rules to 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 Governance Meetings
Lead regular project governance meetings, provide transparent progress, risk and milestone reporting to executive stakeholders, and secure timely decisions for critical integration customization roadblocks.
Oversee Legacy Data Migration
Oversee the full lifecycle of legacy data extraction, cleansing, deduplication and migration from the client’s old MDG to the new Robotics MDG, ensuring 100% data integrity, accuracy and completeness with zero business disruption.
Coordinate Legacy MDG Sunsetting
Coordinate the sunsetting of the client’s 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 Post‑Migration Validation
Manage full data validation and reconciliation post‑migration, resolving historical data quality issues rooted in poor legacy governance and unregulated access.
Cross‑System Integration Management
Oversee the design, development, testing and deployment of all bi‑directional and uni‑directional integrations between the new Robotics MDG and all dependent systems.
Resolve Integration Issues
Coordinate with internal IT teams, external vendors and system admins to resolve integration errors, latency issues and data sync failures to ensure stable, real‑time (or scheduled) data flow across all connected platforms.
Vendor Management
Manage third‑party integration partners, negotiate SLAs, supervise delivery and hold partners accountable to project timelines and quality standards.
Risk, Budget and Quality Control
Identify, mitigate and escalating project‑critical risks including integration failures, data migration errors, delayed system go‑lives, stakeholder misalignment and budget overruns.
Budget Management
Manage the full project budget, track expenditures, approve resource costs and ensure delivery within approved financial boundaries.
Data Quality Enforcement
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).
Experience:
6–8 years
Requirements This project focuses on implementing a brand‑new, enterprise‑grade Robotics‑focused Master Data Governance (MDG) solution to replace the client’s 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 and update workflows, eliminate data silos, resolve ongoing data quality issues rooted in poor governance and unclear ownership, and integrate seamlessly with S4HANA, 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.
Hybrid – 3 days onsite and 2 days remote.
6‑month contract with possible extension.
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End‑to‑End Project Governance Strategic Planning
Develop and own the full project charter, detailed implementation roadmap, WBS, budget, timeline, risk register and governance framework tailored to the client’s legacy MDG replacement and Robotics MDG implementation, aligning all milestones with cross‑system integration timelines.
Define Clear Project Scope
Establish scope, acceptance criteria and governance rules to 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 Governance Meetings
Lead regular project governance meetings, provide transparent progress, risk and milestone reporting to executive stakeholders, and secure timely decisions for critical integration customization roadblocks.
Oversee Legacy Data Migration
Oversee the full lifecycle of legacy data extraction, cleansing, deduplication and migration from the client’s old MDG to the new Robotics MDG, ensuring 100% data integrity, accuracy and completeness with zero business disruption.
Coordinate Legacy MDG Sunsetting
Coordinate the sunsetting of the client’s 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 Post‑Migration Validation
Manage full data validation and reconciliation post‑migration, resolving historical data quality issues rooted in poor legacy governance and unregulated access.
Cross‑System Integration Management
Oversee the design, development, testing and deployment of all bi‑directional and uni‑directional integrations between the new Robotics MDG and all dependent systems.
Resolve Integration Issues
Coordinate with internal IT teams, external vendors and system admins to resolve integration errors, latency issues and data sync failures to ensure stable, real‑time (or scheduled) data flow across all connected platforms.
Vendor Management
Manage third‑party integration partners, negotiate SLAs, supervise delivery and hold partners accountable to project timelines and quality standards.
Risk, Budget and Quality Control
Identify, mitigate and escalating project‑critical risks including integration failures, data migration errors, delayed system go‑lives, stakeholder misalignment and budget overruns.
Budget Management
Manage the full project budget, track expenditures, approve resource costs and ensure delivery within approved financial boundaries.
Data Quality Enforcement
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).
Experience:
6–8 years
Requirements This project focuses on implementing a brand‑new, enterprise‑grade Robotics‑focused Master Data Governance (MDG) solution to replace the client’s 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 and update workflows, eliminate data silos, resolve ongoing data quality issues rooted in poor governance and unclear ownership, and integrate seamlessly with S4HANA, 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.
Hybrid – 3 days onsite and 2 days remote.
6‑month contract with possible extension.
#J-18808-Ljbffr
Project Manager Opportunity – Master Data Governance / MDG Contract Arbeitgeber: Acquism SARL
Acquism SARL ist ein hervorragender Arbeitgeber, der seinen Mitarbeitern in Zürich eine dynamische Arbeitsumgebung bietet, die Innovation und Zusammenarbeit fördert. Mit einem hybriden Arbeitsmodell und der Möglichkeit, an spannenden Projekten im Bereich Master Data Governance zu arbeiten, unterstützt das Unternehmen die berufliche Weiterentwicklung und bietet zahlreiche Vorteile, darunter flexible Arbeitszeiten und ein engagiertes Team. Hier haben Sie die Chance, Ihre Fähigkeiten in einem zukunftsorientierten Umfeld weiter auszubauen und einen echten Einfluss auf die Datenqualität zu nehmen.
