Job Summary:The Manager, Enterprise Data & Reporting leads a team of analysts and developers responsible for enterprise business intelligence, master data governance, and data quality across North America. Reporting to the Director of Operations Business Systems & Data Strategy, this role translates the organization's data and analytics strategy into day-to-day execution - managing people, priorities, and delivery across the BI development lifecycle, Master Data stewardship, and business partnership functions. This leader is accountable for ensuring that enterprise data is accurate, governed, accessible, and structured to support advanced analytics, AI, and automation initiatives. The Manager serves as the operational bridge between strategic data initiatives and the teams that execute them, driving quality, consistency, and continuous improvement across all data and reporting functions. This will be achieved while maintaining HellermannTyton's Quality and EHS certifications by supporting all corporate policies, procedures, work instructions and required documentation.
Essential Functions:Team Leadership & People Management
- Lead, coach, and develop a team.
- Set clear goals, priorities, and performance expectations aligned to organizational objectives and the enterprise data strategy.
- Manage team capacity, workload balancing, and sprint planning to ensure timely delivery of data and reporting initiatives.
- Foster a collaborative, continuous-learning culture focused on quality, accountability, and professional growth.
- Conduct regular 1:1s, performance reviews, and career development conversations.
Business Intelligence & Reporting
- Oversee the design, development, and delivery of enterprise dashboards, reports, and analytics solutions using Microsoft Fabric and Power BI.
- Ensure BI solutions serve as trusted inputs for downstream AI, advanced analytics, BI, and automated decision-making use cases.
- Partner with business stakeholders to prioritize reporting requirements and translate business needs into scalable BI solutions.
- Drive adoption of standardized metrics, KPIs, and self-service analytics capabilities across the organization.
- Establish and enforce development standards, naming conventions, documentation, and release management processes for BI artifacts.
Master Data Governance & Data Quality
- Oversee North America Master Data governance activities across key domains.
- Ensure data quality standards are defined, monitored, and continuously improved in partnership with business data stewards.
- Support governance workflows for Master Data creation, change, approval, and retirement.
- Drive data quality remediation efforts, root cause analysis, and KPI tracking to improve accuracy, completeness, and consistency.
- Ensure master and transactional data structures support AI feature engineering, model training, and intelligent automation use cases
- Partner with IT and ERP teams to align Master Data with system and reporting requirements.
- Lead efforts to close data and information gaps by partnering with business stakeholders to identify, collect, validate, and enrich missing data attributes.
ERP & Platform Support
- Support ERP transformation and enhancement initiatives (e.g., JDE to SAP S/4HANA migration) by ensuring data readiness, validation, and alignment with enterprise standards.
- Coordinate team involvement in ERP data migration, testing, reconciliation, and go-live activities.
- Align master data and reporting structures with ERP and Fabric platform evolution.
Cross-Functional Collaboration & Continuous Improvement
- Collaborate with business leaders across operations, supply chain, finance, sales, and IT to understand evolving data and reporting needs.
- Communicate technical concepts in business-friendly terms to non-technical stakeholders and leadership.
- Drive continuous improvement in data processes, reporting workflows, and team operating practices.
- Support change management and adoption of improved data practices across the enterprise.
- Contribute to the enterprise BI and data governance roadmap in partnership with the Director.
Success in this role will require:- People Leadership & Team Development
- Strategic Thinking with Hands-On Execution
- Data Governance & Stewardship Mindset
- Strong Business Acumen & Stakeholder Partnership
- Analytical & Problem-Solving Orientation
- Communication & Change Management
- Enterprise-Scale Thinking (Standards, Reuse, Governance)
- Continuous Improvement & Adaptability
What You'll BringRequired- Bachelor's degree in business, Information Systems, Data Analytics, Computer Science, or a related field.
- 5+ years of progressive experience in business intelligence, data management, data governance, or analytics.
- Demonstrated experience managing or coordinating cross-functional teams delivering BI, reporting, or data quality solutions.
- Strong understanding of data governance principles, master data management, and data warehousing concepts.
- Hands-on experience with Power BI and familiarity with modern analytics platforms.
- Working knowledge of ERP systems (e.g., SAP, JDE, Oracle) and their data structures.
- Excellent communication, stakeholder engagement, and leadership skills.
Preferred- At least 2 years in a people leadership or team lead role.
- Experience with Microsoft Fabric, Lakehouse architecture, or medallion architecture patterns.
- Experience supporting ERP transformation or migration projects (e.g., JDE to SAP S/4HANA).
- Familiarity with data quality tools, MDM platforms (e.g., SAP MDG, Stibo STEP), or data catalog tools.
- Background in manufacturing, distribution, or supply chain environments.
- Experience with Agile/sprint-based delivery models for analytics teams.
#LI-DM3 #LI-Hybrid 
