Senior Data Manager

Senior Data Manager

The Senior Data Manager is responsible for leading the transformation of the business-unit data landscape from a fragmented, complex and manually maintained environment into a modern, governed, lean and business-driven data capability. The role owns the roadmap for data management and master data management across core business domains and ensures that data ownership, quality, lifecycle processes and reporting foundations are clearly defined and embedded into operating processes.

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

Scope of Ownership:

• Data Management Strategy:
  Data roadmap, operating model, ownership model, governance cadence
• Master Data Domains:
  Customer, Product, Material, Vendor, Pricing, Installed Base, reference data
• CRM & Commercial Data:
  Hub Spot, SAP CRM, customer portal, sales, marketing, service and installer journeys
• Product, PIM & Engineering Data: PIM, product data, engineering attributes, product lifecycle and operational data
• ERP & Operational Data: ERP, supplier, material, pricing, order, installed-base and supply-chain data
• Data Quality & Lifecycle:
  Creation, validation, enrichment, maintenance, archiving and remediation workflows
• Analytics & Reporting Enablement:
  Power BI, dashboards, data products, data quality metrics and reporting datasets
• Data Platform & Integration: APIs, integration flows, data platform roadmap, Snowflake/reporting capability where relevant
• Compliance & Data Controls: GDPR, export controls, sanctions screening on vendor master, auditability

Key Responsibilities:

Data Management Strategy & Transformation

• Define and execute the data management and MDM transformation roadmap for the business unit.
• Transition the data landscape from complex, fragmented and carve-out-driven structures toward a lean, governed and scalable operating model.
• Establish a pragmatic data management framework aligned with business priorities, enterprise architecture and central data governance principles.
• Define the target-state data operating model, including roles, ownership, decision rights, stewardship responsibilities and escalation paths.
• Translate strategic data priorities into executable initiatives, milestones, KPIs and measurable business outcomes.

Master Data Domain Ownership

• Define and govern master data domains including Customer, Product, Material, Vendor, Pricing and Installed Base.
• Establish clear data ownership and stewardship models per domain, including business owners, data stewards and system owners.
• Define authoritative sources, golden-record principles and single-source-of-truth expectations across CRM, Hub Spot, ERP, PIM, customer portal and operational systems.
• Create and maintain data definitions, business rules, data standards and lifecycle requirements for critical data objects.
• Support clean handover of master data between commercial, operational, service, finance, engineering and reporting processes.

Data Governance, Quality & Lifecycle Management

• Implement end-to-end data governance covering roles, responsibilities, workflows, validation rules, data standards and issue management.
• Define and track data quality KPIs for completeness, accuracy, consistency, timeliness, duplication and process compliance.
• Establish workflows for data creation, validation, enrichment, approval, maintenance, remediation and decommissioning.
• Reduce shadow data processes, Excel-based logic, duplicate master data and manual correction loops.
• Ensure data governance is embedded into daily operations rather than treated as a one-off clean-up project.

CRM, Customer Portal & Commercial Data Enablement

• Ensure governed data structures and master data feeds enable CRM (Hub Spot), 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 transformation by defining data requirements, migration quality criteria and reconciliation expectations.
• Improve account, contact, customer hierarchy, opportunity, service and installed-base data needed for commercial execution and customer lifecycle management.
• Support clean reporting and customer-data readiness for business reviews, due diligence and buyer-readiness activities.

Product, PIM, Engineering & Operational Data

• Extend data management beyond CRM and ERP into PIM, engineering, product and operational applications where relevant.
• Define product and material data standards that support commercial, supply-chain, service, engineering and reporting use cases.
• Work with Product, Engineering, Operations and Supply Chain…