Data Manager

Job Description

The Data Manager is responsible for helping develop and improve the business unit's data landscape, moving from fragmented, complex and manually maintained processes toward a more consistent, governed and business-driven data environment. The role supports data management and master data management across core business domains and works with business and IT stakeholders to establish clear data ownership, improve data quality, and maintain effective data lifecycle processes and reporting foundations.

This role extends beyond traditional MDM tooling or master-data administration. It covers customer, product, material, vendor, pricing, installed-base and reference data domains, while supporting analytics, Power BI/reporting, data platform initiatives, AI readiness, AI initiatives and data integration governance across CRM, HubSpot, ERP, PIM, customer portal, engineering applications, operational tools and other critical systems.

Scope of Responsibility

• Data Management: Support the data roadmap, operating model, ownership model and governance processes.
• Data Improvement: Help move fragmented data handling toward consistent, governed and business-owned processes.
• Master Data Domains: Support customer, product, material, vendor, pricing, installed-base and reference data management, including ownership, lifecycle, quality rules and authoritative sources.
• CRM & Commercial Data: Support HubSpot, SAP CRM, customer portal, sales, marketing, service and installer data needs.
• Product, PIM & Engineering Data: Help maintain product data, engineering attributes, product lifecycle information and operational data.
• ERP & Operational Data: Improve consistency and governance across supplier, material, pricing, order, installed-base and supply-chain data.
• Data Quality & Lifecycle: Support creation, validation, enrichment, maintenance, archiving and remediation workflows to reduce defects and manual corrections.
• Analytics & Reporting Enablement: Support Power BI, dashboards, data quality metrics and reporting datasets to enable reliable reporting and decision-making.
• Data Platform & Integration: Coordinate data flows, integration requirements and documentation across APIs, reporting platforms and relevant data infrastructure.
• Compliance & Data Controls: Support GDPR, export controls, vendor sanctions screening and auditability requirements within data processes.

Key Responsibilities

Data Management & Transformation

• Support the execution of the data management and MDM roadmap for the business unit.
• Help simplify fragmented data structures and manual processes into a more consistent, governed and scalable operating model.
• Apply data management practices aligned with business priorities, enterprise architecture and central data governance principles.
• Help document and maintain the data operating model, including roles, ownership, decision rights, stewardship responsibilities and escalation paths.
• Translate data management priorities into actionable initiatives, milestones, KPIs and measurable business improvements.

Master Data Management

• Support the management of master data domains, including Customer, Product, Material, Vendor, Pricing and Installed Base.
• Work with business stakeholders to clarify data ownership and stewardship responsibilities across business and IT teams.
• Help identify authoritative data sources and establish consistent record-management practices across CRM, HubSpot, ERP, PIM, customer portal and operational systems.
• Maintain data definitions, business rules, data standards and lifecycle requirements for critical data objects.
• Support accurate and consistent master data handoffs between commercial, operational, service, finance, engineering and reporting processes.

Data Governance, Quality & Lifecycle Management

• Implement and maintain data governance processes covering roles, responsibilities, workflows, validation rules, data standards and issue management.
• Define, monitor and report data quality KPIs for completeness, accuracy, consistency, timeliness, duplication and process compliance.
• Coordinate workflows for data creation, validation, enrichment, approval, maintenance, remediation and decommissioning.
• Identify opportunities to reduce spreadsheet-based processes, duplicate master data, manual corrections and inconsistent business rules.
• Help embed data governance practices into day-to-day business operations and ongoing process improvements.

CRM, Customer Portal & Commercial Data Enablement

• Support data structures and master data feeds required for CRM (HubSpot), customer portal, BI and AI use cases.
• Partner with Sales, Marketing, Customer Service, Commercial IT Product Ownership and Finance stakeholders to improve commercial data quality.
• Support CRM migration and commercial platform initiatives by documenting data requirements, migration quality criteria and reconciliation needs.
• Improve account, contact, customer hierarchy, opportunity, service and installed-base data needed for commercial execution and customer lifecycle management.
• Support reliable reporting and customer-data readiness for business reviews, due diligence and buyer-readiness activities.

Product, PIM, Engineering & Operational Data

• Support data management across PIM, engineering, product and operational applications, as needed.
• Help maintain product and material data standards that support commercial, supply-chain, service, engineering and reporting requirements.
• Work with Product, Engineering, Operations and Supply Chain stakeholders to improve data structures, ownership and lifecycle controls.
• Help identify opportunities to simplify fragmented product and operational data processes across legacy systems and business-owned tools.
• Support the preparation and integration of engineering and operational data for future digital, analytics and automation initiatives.

Data Architecture, Integration & Tooling

• Collaborate with Enterprise Architecture and Technical Applications & Integration leadership to support the implementation of data management and MDM practices within the target architecture.
• Document data flows, interface ownership, data lineage and integration requirements across CRM, ERP, PIM, portal, data platform and reporting layers.
• Assist with the evaluation and implementation of MDM and data management tools, based on business needs and architecture requirements.
• Support API-based, reusable and well-documented data integration practices.
• Help align data platform and reporting initiatives with master data quality, ownership and governance requirements.

Analytics, Reporting & AI Enablement

• Support trusted reporting by improving data definitions, master data quality, source alignment and KPI consistency.
• Partner with reporting and analytics stakeholders to support dashboards, reporting improvements and data product development.
• Develop and maintain data quality dashboards and management reports covering ownership, remediation status and issue trends.
• Help ensure AI and automation use cases are supported by reliable, governed and fit-for-purpose data.
• Support the development of reusable, governed and business-owned reporting datasets and data products.

Compliance, Controls & Data Risk

• Apply regulatory, privacy and control requirements to master data processes and related tooling.
• Support GDPR-related data governance and data handling requirements in coordination with legal, privacy and security stakeholders.
• Coordinate data requirements related to export controls and sanctions screening on vendor master data, where relevant.
• Maintain documentation supporting the auditability of critical data changes, ownership decisions and remediation activities.
• Identify and escalate data risks that may affect business continuity, revenue reporting, compliance, customer experience or buyer readiness.

Stakeholder, Vendor & Change Management

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