Master Data Manager Full Time NEW

About WhiteCrow

We are global talent research, insight, and sourcing specialists with offices in the UK, USA, Singapore, Malaysia, Hong Kong, Dubai, and India. Our international reach has helped us to understand and penetrate specialist markets at a global level. In addition to this, our service is also extended to complement our client’s in-house talent acquisition teams.

About our client

For more than 80 years, our client’s engineers and product specialists have partnered with customers to produce highly engineered connectivity and sensing solutions that make a connected world possible. Their focus on reliability, durability, and sustainability exemplifies their commitment to progress. The unmatched range of their product portfolio enables companies, large and small, to turn ideas into technology that can transform how the world works and lives tomorrow.

About the role

• The Master Data Manager will join the Business Unit’s Digital, Data & Technology (DD&T) organization and report directly to the Chief Information Officer (CIO), Industrial & Commercial Transportation (ICT). As part of DD&T, this role is a key enabler of operational excellence, digital transformation, and AI readiness.
• The Master Data Manager will coordinate cross-functional Master Data Owners, define and track data quality KPIs, and ensure master data issues are corrected in a sustainable and scalable manner.
• Rather than executing transactional data maintenance, this role orchestrates standards, transparency, and accountability across the Business Unit, ensuring master data supports business processes, process intelligence, and AI-driven initiatives.

As a Master Data Manager, you will be responsible for…

1. Master Data Governance & Coordination

• Establish and operationalize a ICT Master Data Governance framework.
• Coordinate nominated Master Data Owners across functions (Operations, Engineering, Finance, Project Management, Commercial, Product Management, etc.).
• Define clear roles, responsibilities, and escalation paths for data ownership.
• Facilitate recurring cross-functional data governance forums and reviews.

2. Data Quality KPI Definition & Monitoring

• Define measurable KPIs for data accuracy, completeness, consistency, timeliness, and integrity.
• Implement dashboards (in collaboration with DD&T teams) to monitor data health across systems (SAP S/4HANA, Hydra MES, Planisware, Salesforce, SAP IBP).
• Establish target thresholds and continuous improvement plans.
• Ensure transparency of data quality performance to functional leadership.

3. Sustainable Issue Resolution

• Identify systemic root causes of master data defects.
• Drive sustainable corrective actions with Master Data Owners and process stakeholders.
• Ensure data issues are resolved at process level, not through recurring manual corrections.
• Partner with DD&T Process Automation & Process Intelligence teams to eliminate recurring data.

4. Enable AI & Process Intelligence

• Ensure master data structures and governance support:
• Advanced analytics and AI use cases
• Process mining and task mining initiatives
• Reliable automation and digital workflows
• Collaborate with the DD&T AI Lab to ensure master data is AI-ready and supports model performance.
• Support data standardization to enable reuse of models and interoperability across functions.

5. Transformation & Continuous Improvement

• Promote data as a strategic asset within the Business Unit.
• Drive adoption of standardized templates, definitions, and taxonomies.
• Support SAP S/4HANA evolution and system integrations from a data governance perspective.
• Contribute to digital transformation programs by embedding data quality controls early in process design.

What you already have…

• Bachelor’s degree in Engineering, Supply Chain, Information Systems, Business, or related field.
• 5+ years of experience in Master Data Management, Data Governance, ERP environments, or cross-functional process management.
• Experience working in global, cross-functional manufacturing or industrial environments.
• Strong understanding of ERP systems (SAP S/4HANA preferred) and enterprise data flows.
• Experience defining and tracking data quality KPIs.
• Knowledge of data analytics environments (e.g., Databricks) is a plus.
• Strong facilitation, stakeholder management, and influencing skills.