AI Transformation Leader – Engineering & SaaS Ops

State Street; Burlington (MA); On-site; USD 170,000 - 283,000; Full time

Benefits offered by this job

401K with company match

Insurance coverage: life/medical/dent/

Job summary

State Street seeks a seasoned Head of AI Transformation, Engineering & SaaS Operations to accelerate AI adoption across engineering and SaaS operations. You will report to the CTO and drive cross-functional initiatives, governance, and measurable outcomes in a fast-paced financial services environment.

You will define strategic roadmaps, mature AI capabilities, and modernization efforts across product development, testing, release management, and SaaS support.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related technical field.
• Advanced degree preferred.
• 15+ years of experience in software engineering, platform engineering, SaaS operations, engineering productivity, DevOps, SRE, or related technology leadership roles.
• 5+ years leading engineering organizations or enterprise transformation initiatives.
• Experience in investment management, capital markets, fintech, enterprise SaaS, or other highly regulated industries preferred.
• Experience leading enterprise-wide adoption of AI-enabled software development, quality engineering, or operational support practices.
• Familiarity with modern AI technologies, including GenAI platforms, engineering copilots, agent frameworks, MCP ecosystems, and AI orchestration platforms.
• Understanding of LLMs, vector databases, AI infrastructure, and modern AI architectures sufficient to guide technology strategy, platform selection, and adoption decisions.
• Experience evaluating AI platforms, vendors, and strategic technology partnerships.
• Experience managing cloud cost optimization, FinOps initiatives, or large-scale technology investment programs.
• Proven experience delivering large-scale software platforms and operating technology environments with demanding availability, scalability, and performance requirements.

Responsibilities

• Define and execute the enterprise roadmap for AI adoption across Engineering and SaaS Operations.
• Assess organizational AI maturity and identify gaps in processes, tooling, governance, skills, and operating models.
• Establish adoption goals, success metrics, and transformation plans aligned to business objectives.
• Identify emerging AI technologies and evaluate strategic opportunities for adoption.
• Drive adoption of AI-powered software development practices across the entire product development lifecycle.
• Apply AI across requirements generation, backlog refinement, architecture, design, development, testing, release management, support, and operations.
• Deploy and scale coding copilots, engineering agents, and software delivery automation capabilities.
• Improve engineering productivity through automation of repetitive development and maintenance activities.
• Accelerate modernization initiatives, including technical debt reduction and code migration programs.
• Apply AI-driven approaches to vulnerability management, defect resolution, and security remediation.
• Partner with architects and engineering leaders to improve architecture design, governance, and technical decision-making through AI-enabled capabilities.
• Establish AI-enabled quality engineering practices across all product teams.
• Implement AI-powered test generation, regression testing, quality analysis, release validation, and defect prediction capabilities.
• Improve automated test coverage and reduce defect escape rates.
• Increase confidence in software releases through AI-assisted quality controls.
• Transform SaaS operations through AI-powered observability, anomaly detection, incident prediction, root cause analysis, and automated remediation.
• Implement AI-assisted support workflows that improve case triage, knowledge retrieval, investigation, and resolution.
• Automate Customer Health Check process after weekend maintenance periods.
• Reduce customer-impacting incidents and accelerate issue resolution.
• Increase the percentage of issues resolved without engineering intervention.
• Establish enterprise knowledge management capabilities that improve engineer and support productivity.

Skills

Engineering leadership

Program leadership

Executive communication

AI strategy

Education

Bachelor’s degree in CS/Engineering

Advanced degree preferred

Job description

State Street seeks a seasoned Head of AI Transformation, Engineering & SaaS Operations to accelerate AI adoption across engineering and SaaS operations. You will report to the CTO and drive cross-functional initiatives, governance, and measurable outcomes in a fast-paced financial services environment.

You will define strategic roadmaps, mature AI capabilities, and modernization efforts across product development, testing, release management, and SaaS support.