Sr. Director, Data & Analytics

The Senior Director, Data & Analytics leads the enterprise data and analytics strategy and organization, with responsibility for data platforms, data engineering, business intelligence, governance, reporting, and manufacturing intelligence. This role establishes the capabilities, partnerships, and governance needed to deliver trusted enterprise data, integrate plant operational data with ERP and other business information, and enable improved decision-making, operational performance, digital transformation, risk reduction, and scalable growth.

Essential Duties and Responsibilities:

Own the enterprise data and analytics strategy, including modern data platforms, reporting capabilities, governance, and manufacturing intelligence enablement

Establish and govern data standards, data quality practices, reporting definitions, semantic models, and analytics delivery processes to improve consistency and trust in enterprise data Partner with Finance, HR, Commercial, Operations, Legal, and IT leadership to align data and analytics priorities with corporate objectives

Lead the acquisition, integration, contextualization, and governance of manufacturing and operational technology data from plant systems, including SCADA, historians, MES, quality, maintenance, and production systems, and integrate this information with ERP and other enterprise application data to enable manufacturing intelligence and operational decision-making

Lead the development and modernization of the enterprise data platform, including Microsoft Fabric capabilities, business intelligence solutions, scalable data integration patterns, and plant-level analytics capabilities

Build, lead, and develop a high-performing data and analytics organization encompassing data engineering, business intelligence, analytics, and data architecture capabilities

Establish and manage the enterprise data and analytics roadmap, prioritizing investments and delivery commitments based on business value, operational impact, risk, resource capacity, and strategic alignment

Oversee vendor evaluations, tool selection, and modernization initiatives related to data engineering, analytics, reporting, and manufacturing intelligence

NOTE:

This list presents only the principal duties of the position and is not intended to be comprehensive. The duties and responsibilities listed above may be changed or supplemented at any time per business needs and conditions.

Required education:

Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or related technical field

Preferred qualifications:

Master’s degree in Information Systems, Data and Analytics, Business Administration, Engineering, or a related field

Relevant professional or technical certifications in data management, cloud data platforms, analytics, project delivery, or agile leadership

Required experience:

10+ years of progressive experience in data, analytics, business intelligence, data engineering, data architecture, enterprise reporting, or related technology disciplines5+ years of experience leading data engineering, business intelligence, analytics, architecture, or multidisciplinary technical teams, preferably within complex or multi-site organizations

Expertise in cloud data platforms, data architecture, data governance, data modeling, enterprise reporting, data integration, and modern business intelligence delivery practices

Demonstrated success partnering with senior leaders to establish data-driven strategies and drive adoption of trusted data, governance standards, and enterprise analytics capabilities

Experience supporting manufacturing, supply chain, plant operations, or other industrial environments preferred