Define & execute strategy: Lead the multi-year enterprise roadmap for data and AI engineering aligned with AI transformation and business priorities.
Governance & stewardship: Establish and chair the enterprise data governance council; define data ownership, stewardship, and responsible AI governance frameworks.
Architect for scale: Build modern, cloud-native data infrastructure—including storage, compute, streaming, and batch capabilities—to support high-throughput, low-latency AI workloads.
Shape enterprise architecture: Develop logical architectures, semantic models, ontologies, and domain definitions tailored for AI consumption.
Lead rapid experimentation and quick proof of concepts for priority AI use cases.
Guide MVPs through scalable, production-ready pathways.
Build robust data pipelines: Oversee ingestion, transformation, and orchestration pipelines engineered for reliability, scalability, and reusability.
Enable end-to-end MLOps: Implement enterprise capabilities such as feature stores, model registries, CI/CD, automated testing, deployment, and rollback.
Champion security & compliance: Ensure enterprise-level data security, privacy controls, access governance, and regulatory compliance across all platforms.

Requirements

Bachelor’s degree plus 15+ years of progressive experience in large-scale data management, platform engineering, or software engineering supporting AI/ML.
7-10+ years in senior leadership with proven experience scaling teams from <10 to 30+ people, overseeing large engineering organizations with accountability for strategy, architecture, governance, and delivery excellence.
Hands-on experience leading pilot-to-production transitions for AI/ML solutions
Track record building agentic AI or multi-agent orchestration platforms
Proven experience delivering cloud-native data platforms, high‑volume pipelines, and production-grade AI/MLOps in complex, regulated environments.
Demonstrated success enabling AI/ML products through strong data foundations from experimentation to production.
Background in regulated industries (insurance, banking, financial services) with deep knowledge of compliance and responsible AI governance.
Executive communication and influence skills with experience shaping enterprise architecture and driving cross-functional outcomes.

Benefits

PTO/parental leave
Competitive 401K and employee benefits
Free financial counseling, health coaching and employee assistance program
Tuition assistance program
Work arrangements that work for you
Effective productivity/technology tools and training

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data managementplatform engineeringsoftware engineeringAI/ML solutionscloud-native data platformsdata pipelinesMLOpsdata governancefeature storesCI/CD

Soft Skills

leadershipcommunicationinfluencestrategic thinkingcross-functional collaborationgovernancedelivery excellenceteam scalingproblem-solvingexperimentation