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State Street

Head of Emerging Technology & Transformation, VP

State Street

. Lead the Emerging Technology and Transformation team, setting technical direction and driving adoption of AI-first architectures .

Posted 5/22/2026full-timeQuincy • Massachusetts • 🇺🇸 United StatesLead💰 $120,000 - $202,500 per yearWebsite

Tech Stack

Tools & technologies
AWSAzureCloudDockerPython

About the role

Key responsibilities & impact
  • Lead the Emerging Technology and Transformation team, setting technical direction and driving adoption of AI-first architectures
  • Design and build generative AI applications using Python and modern AI frameworks
  • Own end-to-end design, development, deployment, and scaling of AI solutions
  • Design, develop and deploy AI solutions on Google Vertex AI
  • Develop integrations with large language models, orchestration layers, prompt management, and agent-based workflows
  • Identify, evaluate, and assess emerging technologies, platforms, and tools to determine their relevance, maturity, and potential enterprise value
  • Stay current with industry trends across cloud infrastructure, modern application architectures, data platforms, developer tooling, automation, and integration technologies
  • Conduct proofs of concept and technical evaluations to validate feasibility, scalability, security, and operational readiness of new technologies
  • Contribute to technology roadmaps and modernization initiatives by identifying opportunities for platform evolution and technical transformation
  • Drive responsible AI adoption by ensuring appropriate governance, model risk management, security, privacy, and regulatory compliance
  • Communicate strategy, recommendations, and business impact clearly to senior stakeholders and executive leadership

Requirements

What you’ll need
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related technical discipline
  • Overall, 10+ years of work experience
  • Strong, hands-on expertise in Python for building production-grade applications and AI solutions
  • Experience with enterprise AI platforms such as Google Vertex AI, Azure AI, AWS AI services, or equivalent
  • Proven experience defining AI and emerging technology strategy, including platform selection, build vs buy decisions, and alignment with enterprise architecture standard
  • Experience with Cloud services such as Compute Engine, Cloud Storage, Cloud Run, IAM etc.
  • Experience designing, building, and scaling Generative AI capabilities, including large language model integration, prompt engineering, retrieval-augmented generation, and agent-based workflows for enterprise use case
  • Hands-on experience implementing embeddings and vector search for semantic retrieval within retrieval-augmented generation (RAG) architectures
  • Understanding of Docker for application and workload containerization
  • Monitoring of deployed models and services, including drift, skew, and performance
  • Solid understanding of software development lifecycle and enterprise-grade engineering practices
  • Experience designing cloud-native and scalable application architectures
  • Experience with data platforms, APIs, and integration patterns
  • Experience in financial services or highly regulated environments is preferred

Benefits

Comp & perks
  • retirement savings plan (401K) with company match
  • insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages
  • paid-time off including vacation, sick leave, short term disability, and family care responsibilities
  • access to our Employee Assistance Program
  • incentive compensation including eligibility for annual performance-based awards
  • eligibility for certain tax advantaged savings plans

ATS Keywords

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Hard Skills & Tools
PythonGenerative AIAI solutionslarge language modelsprompt engineeringretrieval-augmented generationembeddingsvector searchDockercloud-native application architectures
Soft Skills
leadershipcommunicationstrategic thinkingtechnical evaluationstakeholder engagementgovernancerisk managementproblem-solvinginnovationcollaboration
Certifications
Bachelor’s degree in Computer ScienceMaster’s degree in Computer Sciencedegree in Engineeringdegree in Data Science