Director, Data & AI/ML

Job not on LinkedIn

🕒 July 25

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

🤖 Artificial Intelligence

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Stratus

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2001

🛡️ Insurance

💼 Consulting

📦 Logistics

Insurance • Consulting • Logistics

Stratus is a B2B technology and consulting firm that helps property & casualty insurers and Managing General Agents modernize legacy core systems, migrate to the cloud, and transform insurance data to enable faster product launches, better analytics, and operational efficiency. It offers domain-focused services including Guidewire and Insurity implementation and optimization, cloud migration roadmaps on Azure, AI readiness and execution, data strategy and governance, application maintenance and QA, platform selection support, and on-demand IT talent via embedded delivery pods. Stratus positions itself as a high-touch partner delivering practical, people-first modernization and talent solutions for insurance technology transformation.

📋 Description

• Partner with the CTO, leadership to set the intelligence strategy and roadmap. • Lead and own the execution. • Build, hire, and develop the Intelligence team. • Set the bar for craft and shape the operating cadence. • Stand up the canonical data substrate that AI/ML workloads run cleanly against. • Stand up the ML and AI platform: model lifecycle, feature store, vector store, training and serving infrastructure, MLOps practice. • Lead the learning and reasoning capabilities of the platform. • Develop and drive evaluation frameworks measuring model quality, agent reliability, drift, and platform effectiveness. • Engage directly with customer-facing teams and customers when needed to ground Intelligence decisions in real workflow problems. • Mentor engineers and data scientists.

🎯 Requirements

• 10+ years of professional experience in AI/ML, data engineering, or data science, with 4+ years in formal leadership roles (Senior Manager, Director, or Head of) at a B2B SaaS or AI/ML platform company. • Demonstrated track record of building and leading AI/ML, data engineering, or data science teams of 5-15 people from a small base. • Deep technical credibility across the modern AI/ML stack: data platforms (Postgres, pgvector, MongoDB or equivalent), ML platforms (training, serving, MLOps), and generative AI (LLMs, embeddings, RAG, fine-tuning). • Experience shipping production ML and AI workloads to enterprise customers with the trust patterns (evals, observability, drift, confidence) that come with it. • Hands-on player-coach posture. • Comfortable reviewing technical designs, joining architecture debates, and writing reference implementations when the work warrants it. • Strong hiring track record. • Excellent written and verbal communication. • Strong cross-functional partnership instincts. • Experience with multi-tenant data architecture and the operational realities of serving ML and AI workloads to enterprise customers.

🏖️ Benefits

• Comprehensive and competitive health benefits plan • Matching 401k contributions • 20 days annual PTO • Primarily remote work with occasional annual team onsites.