ironquill.tech/board

$ cat jobs/director-of-engineering-data-ai-platform-the-standard-3094ad360d0f.json

Director of Engineering - Data & AI Platform

the standard·US·United States·mid
data engineeringdevops
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The next part of your journey is right around the corner — with The Standard . A genuine desire to make a difference in the lives of others is the foundation for everything we do. With a customer-first mindset and an intentional focus on building strong teams, we’ve been able to uphold our legacy of financial stability while investing in new, innovative technologies that support the needs of our customers. Our high-performance culture focused on operational excellence thrives thanks to remarkable people united by compassion and a customer-first commitment. Are you ready to make a difference? Job Summary The Director, Data & AI Platform Engineering leads the engineering strategy, development, delivery, and operational excellence of the enterprise Data & AI Platform. This role combines enterprise technology leadership with the development of high-performing engineering teams spanning data engineering, software engineering, AI/ML platform engineering, DevOps, DevSecOps, DataOps, MLOps, and LLMOps. Working closely with Product, Architecture, Governance, Security, Risk, Enterprise Delivery, Analytics & BI, and AI Product teams, the Director delivers a governed, reusable, self-service platform foundation. This leader is responsible for engineering execution across Foundational Data & AI Products, Integration & Runtime, and the Shared Substrate, with capabilities designed to be defined once, governed once, and consumed by many. Key Responsibilities: Engineering Leadership and Team Development Lead and develop multidisciplinary engineering teams while building a culture of ownership, collaboration, engineering excellence, and continuous improvement. Coach engineering managers, technical leads, architects, and senior engineers; build succession plans and strengthen leadership capacity. Lead workforce planning, hiring, onboarding, performance management, capability development, and talent retention. Establish clear accountability and decision-making across distributed teams a

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