Sr Manager, Data & Advance Analytics

Position Summary

Senior Manager, Data & Advanced Analytics will lead the transformation of OPW's business intelligence capabilities into a modern enterprise analytics platform that enables data-driven decision making across the organization. Reporting to the Sr. Director, Digital & IT, this role will design and implement a centralized OPW Data Lake integrating data from multiple ERP platforms and key enterprise systems, while establishing a structured data governance framework in partnership with the Dover Data Governance Center of Excellence (COE).

By creating a scalable cloud‑based analytics foundation using Microsoft Fabric, Azure, and Power BI, the role modernizes OPW's reporting environment and enables self‑service analytics, improved data transparency, and advanced analytical capabilities.

Following the successful implementation, the Senior Manager will serve as OPW's internal data science leader, applying advanced analytics and AI technologies to deliver deeper insights across key business domains—including sales performance, inventory optimization, and margin analysis—thereby helping OPW transition from traditional reporting to advanced analytics and AI‑enabled decision support.

• Lead the design and implementation of the OPW enterprise data lake, integrating data from multiple ERP systems and key enterprise platforms.
• Develop scalable data pipelines and data models leveraging Azure, Microsoft Fabric, and Power BI.
• Integrate data from ERP systems, Salesforce, One Stream, eCommerce platforms, and other enterprise systems into a unified analytics environment.
• Partner with the Dover Data Governance COE to ensure alignment with enterprise data standards, architecture principles, and security frameworks.
• Establish scalable data architecture that supports both operational reporting and advanced analytics use cases.
• Work with internal IT teams and external partners to build a robust, high‑performance analytics platform capable of supporting global operations.

• Establish and operationalize data governance practices across OPW, aligned with Dover enterprise standards.
• Define and implement data ownership, stewardship, and accountability across key business domains.
• Lead initiatives to improve data quality, data standardization, and master data consistency across ERP systems.
• Implement governance frameworks that ensure data integrity, compliance, and sustainable analytics development.
• Partner with business leaders to establish clear data stewardship roles across operational functions.

• Transform OPW's existing BI reporting environment into a modern self‑service analytics platform.
• Lead the development of enterprise dashboards and analytics solutions using Power BI.
• Establish standardized reporting models and semantic layers that support scalable analytics across the organization.
• Enable business users to independently access and analyze data through self‑service analytics capabilities.
• Ensure BI solutions provide actionable insights that improve operational performance and decision speed.

• Develop predictive and prescriptive analytics models to support business priorities such as inventory optimization, demand forecasting, sales performance analysis, and margin improvement.
• Apply advanced analytics techniques, including machine learning and AI, to uncover actionable insights across OPW's data ecosystem.
• Identify opportunities to leverage AI technologies to improve decision making across commercial and operational functions.
• Partner with business leadership to prioritize high‑value analytical initiatives.
• Serve as OPW's internal data science expert, translating complex analytical insights into practical business outcomes.

• Serve as the strategic leader for OPW's enterprise analytics and BI strategy.
• Collaborate closely with the Dover Data COE, IT leadership, and business stakeholders to align analytics initiatives with corporate strategy.
• Provide guidance to IT and business teams on data architecture,…