Enterprise Data Reporting Manager
Listed on 2026-07-22
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IT/Tech
Change Management, Business Intelligence, Data Analyst, Data Engineering
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.
The leader ensures that enterprise data is accurate, governed, accessible, and structured to support advanced analytics, AI, and automation initiatives while maintaining Hellermann Tyton's Quality and EHS certifications by supporting all corporate policies, procedures, work instructions, and required documentation.
- 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.
- 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.
- 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.
- Support ERP transformation and enhancement initiatives (e.g., JDE to SAP S/4
HANA 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.
- 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.
- People leadership and team development.
- Strategic thinking with hands‑on execution.
- Data governance and stewardship mindset.
- Strong business acumen and stakeholder partnership.
- Analytical and problem‑solving orientation.
- Communication and change management.
- Enterprise‑scale thinking (standards, reuse, governance).
- Continuous improvement and…
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