As a Data Engineering Manager focused on Analytics Engagements here at Advanced Materials, you will be responsible for overseeing the delivery of analytics solutions across all business functions while ensuring high-quality data management practices. You will manage data analyst teams, support the Business Intelligence Manager, and serve as the primary liaison between technical teams and business stakeholders.
You will report to our Director of Gen AI, Data & Analytics Leader who oversees our enterprise data strategy and platform operations.
In this role, you will have significant impact driving business value through analytics by aligning technical capabilities with business needs. You will be instrumental in ensuring data quality, managing analytics project prioritization, and fostering strong relationships with business stakeholders.

• Business Domain Leadership: Offer functional expertise in Commercial, Finance, Supply Chain, Customer Experience, and other areas. Identify strategic analytics opportunities and build executive relationships.
• Data Warehousing & Engineering, Development and Support: Lead development, delivery and support for Enterprise Data Warehouse, Analytics, DataOps, Data/AI Applications, and pipelines
• Technical Leadership & Development: Manage and mentor technical contract service workers while establishing standards, innovative approaches and best practices, fostering excellence
• Data Architecture, Ops & Governance: Oversee Metadata catalogs and report enhancement initiatives while establishing data quality standards. Lead efforts in observability, and lineage tracking to maintain high integrity in AI/ML datasets
• Innovation & Strategy: Identify whitespace opportunities for analytics & data engineering, manage idea backlogs, and drive strategic initiatives that deliver measurable business value
• Stakeholder Engagement: Lead business committees, manage expectations, and establish strong partnerships between technical teams and business functions
• Requirements Management: Optimize analytics asset inventory and streamline gathering processes to ensure high-quality, business-aligned deliverables
• Vendor & Service Management: Establish frameworks for vendor management and technical escalation procedures with clear accountability