Senior 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 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, HubSpot, 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  Move from fragmented data handling to governed, business-owned data capability Master Data Domains: Customer, Product, Material, Vendor, Pricing, Installed Base, reference data Define ownership, lifecycle, quality rules and authoritative sources per domain CRM & Commercial Data: HubSpot, SAP CRM, customer portal, sales, marketing, service and installer journeys Ensure clean customer, account, contact, opportunity and service-related data for commercial execution Product, PIM & Engineering Data: PIM, product data, engineering attributes, product lifecycle and operational data Connect product and engineering data needs with commercial, service, ERP and analytics use cases ERP & Operational Data: ERP, supplier, material, pricing, order, installed-base and supply-chain data Improve consistency and governance across core operational systems Data Quality & Lifecycle: Creation, validation, enrichment, maintenance, archiving and remediation workflows Reduce defects, manual corrections and shadow Excel-based logic Analytics & Reporting Enablement: Power BI, dashboards, data products, data quality metrics and reporting datasets Enable trusted reporting, clean KPIs and decision-ready data Data Platform & Integration: APIs, integration flows, data platform roadmap, Snowflake/reporting capability where relevant Ensure data flows are governed, documented and reusable Compliance & Data Controls: GDPR, export controls, sanctions screening on vendor master, auditability Embed regulatory and control requirements into data processes and tooling 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, HubSpot, 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 (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 transformation by defining data requirements, migration quality