Engineering Manager - Data Platform

About the opportunity We are seeking an experienced and visionary Engineering Manager to lead one of our Data Platform teams, currently undergoing a fundamental transformation from a traditional, service-oriented model into a product-oriented platform team focused on automation, scalability, integration, and developer enablement. As Engineering Manager, you will play a pivotal role in accelerating this transition, guiding the team through a challenging but high-potential journey. You will be responsible for shaping and executing long-term technical and organizational strategies that enable scalable ownership models across the company, allowing teams to safely and autonomously leverage platform capabilities. Your leadership will be key to evolving a team with strong operational foundations into a high-impact, autonomous group of engineers who deliver reliable and compliant platform solutions, empower development teams, and contribute to the broader platform ecosystem. You will have end to end ownership of the team’s scope, including strategy, execution, and organizational design.This role is an opportunity to shape the future of our Data Platform, defining how teams across the company build, operate, and scale data and AI-driven products in a compliant and reliable way. In this role, you will: • Define and drive the strategic evolution of the team towards building a modern, scalable data platform that enables advanced data and AI use cases by default, without requiring bespoke solutions or direct platform team involvement • Enable development teams to safely and autonomously leverage data and platform capabilities through robust tooling, guardrails, and well-defined interfaces. • Establish a long-term roadmap that aligns data platform capabilities with emerging AI use cases, product needs, and regulatory constraints. • Build and grow a high-performing, cross-functional team capable of delivering reliable, scalable, and compliant platform solutions • Shape the team’s culture by promoting initiative, critical thinking, technical leadership, and shared responsibility across the platform. • Coach and develop engineers to strengthen their skills across data, infrastructure, and platform engineering, while raising the bar on ownership and delivery. • Take a proactive role in performance management, ensuring the team continuously evolves towards autonomy, maturity, and impact. • Act as a key liaison between Engineering, Product, Security, and other stakeholders to represent the team’s roadmap and priorities. What you need to be successful Background • Proven experience leading high-impact engineering teams in a Platform, Infrastructure, Machine Learning Engineering context, ideally within regulated, complex technical environments. • Strong track record in transforming teams, developing both skills and mindset to support long-term strategic goals. • Experience with public cloud providers, ideally AWS, and an understanding of how cloud-native services impact data architecture and operations. • Prior exposure to or working knowledge of Machine Learning workflows or MLOps lifecycles is a definite plus, though not required. Skills • Strong understanding of data platform architectures and the trade-offs involved in building and operating them at scale. • Familiarity with platform engineering principles and practices, including automation, observability, IaC, and secure-by-default design. • Previous experience with AI/ML platform concepts (e.g., feature stores, model deployment patterns, model training pipelines, generative AI) to effectively empathize with and support AI/ML stakeholder teams is advantageous. • Strong leadership in people and performance management, with experience coaching engineers and influencing team c