Senior Manager Data Engineering

**Career Category** ------------------- Engineering **Job Description** ------------------- **Senior Manager – Data Engineering (EDSE)** **About the Role** **Let's do this. Let's change the world.** We are looking for an experienced **Senior Manager, Data Engineering** to lead strategic data engineering initiatives within Enterprise Data Strategy & Engineering (EDSE). This role will guide high-performing engineering teams, deliver enterprise-scale data platforms and data products, modernize the Enterprise Data Fabric (EDF), and enable advanced analytics, AI, and digital transformation across Finance, Supply Chain, Research & Development, Operations, and other business domains. **Key Responsibilities** **Strategic Leadership** * Lead and develop data engineering teams responsible for enterprise data products, platforms, and mission-critical data solutions. * Define and execute the domain data engineering roadmap in alignment with EDSE and enterprise priorities. * Advance modern data engineering, cloud, AI, automation, and observability capabilities. * Collaborate with business stakeholders, product teams, architecture, and platform engineering groups to deliver measurable business outcomes. **Delivery & Execution** * Oversee the design, development, deployment, and support of scalable data products and pipelines. * Ensure strong delivery across build, enhancement, RunOps, and KTLO activities. * Manage commitments, capacity, priorities, risks, and vendor execution. * Set engineering standards, quality practices, and performance measures across the team. **Enterprise Data Platform & Architecture** * Lead implementation of the Enterprise Data Fabric (EDF), semantic layer, data products, and governance initiatives. * Work with Enterprise Data Architecture and Platform Engineering teams to deliver scalable, secure, and reusable solutions. * Promote metadata-driven engineering, automation, observability, data quality, and governance practices. **AI & Innovation** * Champion AI, traditional ML, Generative AI, Agentic AI, and automation to improve engineering efficiency and business value. * Assess and adopt emerging technologies that accelerate delivery, improve data accessibility, and strengthen platform reliability. * Drive innovation through reusable accelerators, engineering frameworks, and platform modernization. **People Leadership** * Build, mentor, and develop high-performing data engineering teams. * Create a culture of technical excellence, collaboration, innovation, and continuous learning. * Oversee performance management, career development, succession planning, and talent acquisition. * Lead global, multi-vendor delivery teams aligned to organizational goals. **Required Qualifications** * 12+ years of experience in data engineering, data platforms, analytics engineering, or related fields. * 5+ years of leadership experience managing engineering teams and large-scale delivery programs. * Strong experience with Databricks, Spark, PySpark, SQL, Python, AWS, and cloud-native data architectures. * Proven ability to build enterprise-scale data platforms, data products, and integration solutions. * Strong understanding of Data Fabric, Data Mesh, Lakehouse, metadata management, and governance. * Experience working in Agile or SAFe delivery environments. * Excellent communication, stakeholder management, and leadership capabilities. .