Data Manager

Keenfinity•Fairport, NY

18d

About The Position

The Data Manager helps develop and improve the business unit’s data landscape, moving fragmented, complex, and manually maintained processes toward a consistent, governed, and business-driven environment. The role supports data management and master data management across core business domains, working with business and IT stakeholders to establish data ownership, improve data quality, and maintain effective data lifecycle processes and reporting foundations. Its scope extends beyond MDM tooling or master-data administration to include customer, product, material, vendor, pricing, installed-base, and reference data, while enabling analytics, Power BI and reporting, data platform initiatives, AI readiness and initiatives, and data integration governance across CRM, HubSpot, ERP, PIM, customer portal, engineering applications, operational tools, and other critical systems. The position supports the data management and MDM roadmap, operating and ownership models, governance processes, data definitions and standards, quality controls, and lifecycle workflows. It collaborates with teams across Sales, Marketing, Customer Service, Operations, Engineering, Product, Supply Chain, Finance, and IT to improve data structures, resolve issues, document integrations and data flows, and support reliable reporting and business decision-making. The role also helps ensure data processes address privacy, export-control, sanctions-screening, auditability, and other relevant data risks. This is a full-time position with a U.S. base salary range of $80,000–$100,000. Full-time employees are eligible for health and welfare benefit plans, a 401(k) plan, paid time off, and sick leave, subject to applicable plan terms and policies. Only individuals authorized to work indefinitely in the U.S. may apply; future work-authorization sponsorship is unavailable.

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, including the ability to simplify complex data issues and support practical solutions across business and IT teams.
Knowledge of master-data domains, golden records, data standards, stewardship, and lifecycle management.
Familiarity with data ownership models, policies, governance forums, issue management, decision rights, and data controls.
Knowledge of data-quality measures and processes, including completeness, accuracy, consistency, duplication, timeliness, remediation workflows, and quality dashboards.
Understanding of HubSpot/SAP CRM concepts, customer/account/contact data, installed base, and commercial reporting requirements.
Familiarity with material, vendor, pricing, order, supply-chain, and finance-related ERP master-data dependencies.
Understanding of product information structures, product attributes, catalogue data, product lifecycle, and PIM integration concepts.
Familiarity with Power BI, dashboard enablement, data definitions, KPI consistency, and trusted reporting foundations.
Understanding of APIs, data interfaces, lineage, integration patterns, source-of-truth principles, and data platform roadmaps.
Awareness of GDPR, export controls, sanctions screening, auditability, and data change-control requirements.
Indefinite U.S. work authorization is required; future sponsorship for work authorization is not available.

Nice To Haves

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 setting up data lakes and AI agents, preferably Microsoft Fabric.

Responsibilities

Support execution of the business unit’s data management and MDM roadmap, translating priorities into initiatives, milestones, KPIs, and measurable improvements.
Help simplify fragmented data structures and manual processes into a consistent, governed, scalable operating model aligned with business priorities, enterprise architecture, and central data governance principles.
Document and maintain the data operating model, including roles, ownership, decision rights, stewardship responsibilities, and escalation paths.
Support management of Customer, Product, Material, Vendor, Pricing, Installed Base, and reference data domains, including ownership, lifecycle, quality rules, and authoritative sources.
Work with stakeholders to clarify data ownership and stewardship responsibilities and establish consistent record-management practices across CRM, HubSpot, ERP, PIM, customer portal, and operational systems.
Maintain data definitions, business rules, standards, and lifecycle requirements for critical data objects, and support accurate master-data handoffs across commercial, operational, service, finance, engineering, and reporting processes.
Implement and maintain governance processes covering roles, workflows, validation rules, standards, and issue management.
Define, monitor, and report data-quality KPIs for completeness, accuracy, consistency, timeliness, duplication, and process compliance.
Coordinate data creation, validation, enrichment, approval, maintenance, remediation, and decommissioning workflows; identify ways to reduce duplicates, spreadsheet-based processes, manual corrections, and inconsistent rules.
Support data structures and master-data feeds for HubSpot CRM, customer portals, BI, and AI use cases, and work with commercial stakeholders to improve 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 for commercial execution and customer lifecycle management; support reporting and customer-data readiness for business reviews, due diligence, and buyer-readiness activities.
Support data management across PIM, engineering, product, and operational applications; help maintain product and material data standards and improve data structures, ownership, and lifecycle controls.
Work with Product, Engineering, Operations, and Supply Chain stakeholders to simplify fragmented product and operational data processes and prepare engineering and operational data for digital, analytics, and automation initiatives.
Collaborate with Enterprise Architecture and Technical Applications & Integration leadership to implement data management and MDM practices within the target architecture.
Document data flows, interface ownership, lineage, and integration requirements across CRM, ERP, PIM, portal, data platform, and reporting layers; support API-based, reusable, documented integration practices.
Assist with evaluation and implementation of MDM and data management tools, and align data platform and reporting initiatives with data-quality, ownership, and governance requirements.
Improve data definitions, master-data quality, source alignment, and KPI consistency to support trusted reporting; partner on dashboards, reporting improvements, and data product development.
Develop and maintain data-quality dashboards and management reports covering ownership, remediation status, and issue trends; support reusable, governed, business-owned reporting datasets and data products.
Help ensure AI and automation use cases are supported by reliable, governed, fit-for-purpose data.
Apply regulatory, privacy, and control requirements to master-data processes and related tooling; support GDPR-related governance and data handling with legal, privacy, and security stakeholders.
Coordinate data requirements related to export controls and vendor sanctions screening where relevant, maintain auditability documentation, and identify and escalate data risks.
Serve as a data management partner across business and IT stakeholder groups; facilitate working sessions to document ownership, investigate issues, identify root causes, and agree on remediation priorities.
Coordinate with external MDM, data governance, reporting, and transformation partners as needed; support organizational change and communicate priorities, issues, dependencies, and remediation progress.
Support data-related IT strategy initiatives, application rationalization, integration improvements, and platform simplification by documenting data dependencies and ownership.
Track and report improvements in data quality, reporting reliability, master-data process performance, and business adoption, establishing sustainable practices that reduce ad hoc cleanup and manual intervention.