Advanced Materials is seeking a Data Engineering Manager to oversee the delivery of analytics solutions across all business functions and ensure high-quality data management practices, aligning technical capabilities with business needs to drive business value through analytics.
Requirements
- Intermediate-level proficiency in languages such as SQL, Python and Spark with advanced knowledge of modern data engineering tools and practices
- Prior experience with enterprise-scale platforms: Snowflake or similar Data Warehouses, Databricks or similar AI/ML Platforms, Informatica Intelligent Cloud Services, HVR, Fivetran or similar Data Ingestion and Transformation Tools
- Strong business process and domain knowledge across multiple functions with demonstrated ability to turn business requirements into analytics solutions
- Experience implementing quality assurance and user acceptance testing processes for analytics deliverables
- Strong experience in requirements gathering, project prioritization, and managing competing business demands
- Familiarity with IT Operations, ITIL practices and other service management frameworks
- Experience managing vendor relationships and service transitions
Responsibilities
- Lead development, delivery and support for Enterprise Data Warehouse, Analytics, DataOps, Data/AI Applications, and pipelines
- 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
- Identify whitespace opportunities for analytics & data engineering, manage idea backlogs, and drive strategic initiatives that deliver measurable business value
- Optimize analytics asset inventory and streamline gathering processes to ensure high-quality, business-aligned deliverables
- Establish frameworks for vendor management and technical escalation procedures with clear accountability
- Manage and mentor technical contract service workers while establishing standards, innovative approaches and best practices, fostering excellence
Other
- Bachelor’s or Master’s degree in computer science, Engineering, Applied Mathematics or related field
- Minimum 10 years of progressive experience in Data and Analytics with demonstrated business impact across multiple functional domains
- Cross-Functional domain expertise in multiple domains such as Commercial, Pricing, Finance, Supply Chain, Procurement, Customer Experience and other similar domains typical to manufacturing industry
- Exceptional presentation and communication skills with ability to influence at all levels of the organization
- Demonstrated success in managing initiatives across organizational boundaries and building consensus
