Data Engineering Manager

About the Role

Key Responsibilities

• Offer functional expertise in Commercial, Finance, Supply Chain, Customer Experience, and other areas. Identify strategic analytics opportunities and build executive relationships.
• Lead development, delivery and support for Enterprise Data Warehouse, Analytics, DataOps, Data/AI Applications, and pipelines.
• Manage and mentor technical contract service workers while establishing standards, innovative approaches and best practices, fostering excellence.
• 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.
• Lead business committees, manage expectations, and establish strong partnerships between technical teams and business functions.
• 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.

Requirements

• 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.
• Intermediate-level proficiency in languages such as SQL, Python and Spark with advanced knowledge of modern data engineering tools and practices.
• Strong business process and domain knowledge across multiple functions with demonstrated ability to turn business requirements into analytics solutions.
• Prior experience with enterprise-scale platforms such as Snowflake or similar Data Warehouses, Databricks or similar AI/ML Platforms, Informatica Intelligent Cloud Services, HVR, Fivetran or similar Data Ingestion and Transformation Tools.

Nice to Have

• Experience and domain knowledge of enterprise systems of record such as SAP, Salesforce CRM, eCommerce Systems, and associated E2E processes.
• Strong background in enterprise analytics with measurable business outcomes for domains such as Commercial, Finance, Supply Chain, Customer Experience and others.
• Proficient in converting complex business insights into relevant data products, while maintaining effective relationships with business partners.
• Experience implementing quality assurance and user acceptance testing processes for analytics deliverables.
• Strong experience in requirements gathering, project prioritization, and managing competing business demands.
• 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.
• Experience managing vendor relationships and service transitions.
• Familiarity with IT Operations, ITIL practices and other service management frameworks.
• Ownership and Pride in your work and willingness to work in a diverse, cross-functional environment.