Director, Data – AI/ML

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🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

🤖 Artificial Intelligence

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Stratus

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2001

🤝 B2B

🏢 Enterprise

🤖 Artificial Intelligence

B2B • Enterprise • Artificial Intelligence

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

• Owns the Stratus Intelligence Platform: the data, machine learning, and reasoning capabilities that make compounding intelligence real. • Accountable for delivering in the AI roadmap, ensuring that AI workloads scale on the platform, and the ML lifecycle that trains and serves models. • Set the Intelligence strategy in close partnership with the CTO, build the team that delivers it, and stay close enough to the technical work to make hard architectural calls when they arise. • Stand up the canonical data layer, the ML platform, and the learning and reasoning capabilities. • Hire and develop a high-leverage Intelligence team (Data, AI/ML, AVE). • Set the bar for craft and shape the operating cadence. • Stand up the trust patterns needed to ship AI workloads to customers with confidence: evaluation frameworks, observability for AI, drift detection, confidence scoring.

🎯 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.