Data Manager

The transition from Bosch to Radionix is now complete — providing a future-focused trajectory for our Radionix and Bosch product portfolios and exclusive benefits for our valued partners.

The Radionix name holds a special place in the hearts of our associates, dealers, distributors, and customers alike. The new Radionix vision — Mission control for your security — encapsulates our focus on empowering users with an intrusion system that seamlessly integrates every layer of security, from our intrusion system products to our G Series panels to our reimagined Remote Security Manger app.

Fairport, NY is the headquarters for the Radionix sales & marketing organization in the United States and serves as the primary site for research and development, engineering, quality, and product management for intrusion detection systems, including state-of-the-art sensors, control panels, software, communications and more.

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.

Technical & Domain Knowledge

- MDM & Data Management: Understanding of master data domains, golden records, data standards, business rules, stewardship and lifecycle management.
- Data Governance: Familiarity with ownership models, data policies, governance forums, issue management, decision rights and data controls.
- Data Quality: Knowledge of completeness, accuracy, consistency, duplication, timeliness, remediation workflows and quality dashboards.
- CRM & Commercial Data: Understanding of HubSpot/SAP CRM concepts, customer/account/contact data, installed base and commercial reporting requirements.
- ERP & Operational Data: Familiarity with material, vendor, pricing, order, supply-chain and finance-related master data dependencies.
- PIM & Product Data: Understanding of product information structures, product attributes, catalogue data, product lifecycle and PIM integration concepts.
- Analytics & Reporting: Familiarity with Power BI, dashboard enablement, data definitions, KPI consistency and trusted reporting foundations.
- Architecture & Integration: Understanding of APIs, data interfaces, lineage, integration patterns, source-of-truth principles and data platform roadmaps.
- Compliance & Controls: Awareness of GDPR, export controls, sanctions screening, auditability and data change control requirements.

Responsibilities

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.; 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.; 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.; 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.; 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.; 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.; 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.

Requirements

5–7 years of experience in data management, master data management, data governance, enterprise data management, analytics enablement or related roles.; Experience contributing to data transformation initiatives, MDM implementations, data quality improvements or data operating model projects.; Strong understanding of MDM concepts, data models, data lifecycle processes and governance frameworks.; Experience supporting data domains, business rules, ownership models and stewardship responsibilities.; Experience working across CRM (including HubSpot), ERP, PIM, reporting and integrated application environments.; Understanding of API-based architectures, system integrations and cross-system data flows.; Strong communication and stakeholder collaboration skills, with the ability to simplify complex data issues and support practical solutions across business and IT teams.

Nice to have

Experience with MDM or data management tools such as Stibo STEP, Informatica or comparable platforms.; Experience with Power BI or similar tools, governed reporting, data quality dashboards or data product enablement.; Experience with CRM migration, commercial data quality, customer master data or customer portal data enablement.; Experience with product, PIM, material, vendor, pricing or installed-base data domains.; Experience in manufacturing, security technology, industrial technology, engineering or connected product environments.; Exposure to carve-out, post-M&A, buyer-readiness, due diligence or transitional service model contexts.; Experience working with central data governance teams in a federated business-unit operating model.; Experience with setting up data lakes and AI agents (preferable Microsoft Fabrics).