Engineering manager, Data & AI Platform

- Develop and execute a technology vision and roadmap for data, machine learning, and agentic AI platforms prioritizing security, scalability, and reliability - Collaborate with data science, data engineering, governance, and product teams to align product strategy and deliver effective platform and developer solutions - Lead discussions with business stakeholders to propose solutions and enhancements that improve both technical strategies and business capabilities - Demonstrate strong initiative, acting as a self-starter to guide teams through ambiguous situations and influence common goals - Keep updated on emerging technologies and generate innovative ideas, managing multiple initiatives and aligning them with strategic goals - Lead and mentor a team of infrastructure, platform, and AI engineers, promoting a culture of innovation and excellence - Motivate team members to achieve business outcomes - Provide guidance, coaching, and leadership support to enhance team members performance - Manage training and development for team members and make informed staffing decisions - Oversee the design, implementation, and management of essential infrastructure components (cloud, networking, storage, compute) to maintain scalability, reliability, security, and cost-efficiency for data and AI applications - Streamline the development process for developers through CI/CD pipelines, infrastructure as code, Kubernetes, and automated testing - Establish key performance metrics to monitor system health and improve operational practices - Implement and manage monitoring, logging, and alerting systems to ensure platform performance - Build foundational data infrastructure and tools necessary for large-scale data processing, including orchestration, storage, and access management - Collaborate with security and architecture teams to integrate best practices and security measures into tools and features from the start - Implement, develop, and oversee enterprise metadata catalog and governance systems to enhance data accessibility for AI consumption - Drive the design and development of frameworks and AI-driven product capabilities, utilizing LLMs, intelligent automation, and adaptive workflows