Director of Engineering - Data & AI Platform
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.
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Coach engineering managers, technical leads, architects, and senior engineers; build succession plans and strengthen leadership capacity.
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Lead workforce planning, hiring, onboarding, performance management, capability development, and talent retention.
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Establish clear accountability and decision-making across distributed teams and engineering disciplines.
Platform Engineering Strategy and Delivery
Set and execute the engineering strategy for the shared Data & AI Platform in partnership with platform product leadership and architecture.
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Deliver platform-managed capabilities across Foundational Data & AI Products, Integration & Runtime, and Shared Substrate.
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Guide engineering investment in canonical data products, the governed context foundation, model and tool gateways, registries, agent runtime, APIs, lakehouse, catalog, compute, storage, and golden-path automation.
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Balance near-term delivery with platform sustainability, reuse, scalability, and the thin-platform boundary.
Operational Excellence and Governance
Ensure platform services are reliable, secure, observable, supportable, and operated to published service objectives.
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Establish engineering standards for architecture, CI/CD, infrastructure-as-code, automated testing, observability, incident response, resilience, documentation, and operational readiness.
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Partner with Governance, Security, Risk, and Architecture so policy is technically enforced while architecture pattern-setting remains distinct from policy ownership.
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Use delivery, reliability, quality, contract-conformance, adoption, and consumer-feedback measures to drive continuous improvement.
Enterprise Partnership and Execution
Build strong partnerships across business, data, AI, product, architecture, governance, and enterprise technology organizations.
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Communicate engineering priorities, delivery progress, operational health, risks, dependencies, and outcomes to senior stakeholders.
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Enable self-service golden paths so consumers can build compliant solutions without embedding or waiting on the platform team.
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Manage capacity, vendors, dependencies, and organizational scaling in alignment with the platform roadmap.
Skills and Background You’ll Need
Education: A Bachelor’s degree is required.
Experience: Mini