Top Tech Jobs & Startup Jobs

Support onboarding for new funds in compliance and risk management, liaising with clients and internal teams for documentation and issue resolution.

Responsible for designing, building, and operating Azure platform capabilities. Collaborate with teams to enhance platform services and implement automation solutions, ensuring secure and compliant workloads.

Leads enterprise AI, machine learning, and data engineering initiatives across document processing, intelligent agents, automation, and financial data platforms. Designs reusable frameworks, scalable pipelines, evaluation processes, data models, governance controls, and lineage standards. Partners with business and technology stakeholders on fund accounting, custody, reference data, reconciliation, regulatory reporting, and client delivery. Mentors teams, influences stakeholders, prioritizes initiatives, and promotes secure, explainable, and responsible technology practices.

Leads enterprise data engineering, AI/ML, and intelligent automation initiatives. Designs scalable data architectures, models, integration standards, lineage, governance, quality controls, and reusable frameworks across fund accounting, custody, and reference data domains. Partners with business and technology stakeholders, mentors teams, prioritizes delivery, and ensures secure, explainable, and compliant solutions. Requires extensive IT delivery experience, hands-on Python, Spark, PySpark, Databricks, machine learning, generative AI, and regulated financial services expertise.

Lead enterprise AI strategy and product management across business and technology teams. Identify high-value AI opportunities, translate strategy into product roadmaps, drive deployments of self-service platforms and MVPs, perform requirements gathering, business case and ROI analysis, manage portfolio governance and model lifecycle, produce executive materials, and lead a small global team to execute transformational AI initiatives.

Lead end-to-end architecture for a major Generative AI platform: define reference architectures, integration contracts, NFRs, and reusable patterns (RAG, model serving, prompt/agent workflows). Partner with product, engineering, data science, cloud, security, and DevSecOps to ensure secure, scalable, compliant, and production-ready AI solutions. Conduct design reviews, proofs-of-concept, and drive platform governance and operational readiness.

Lead design and delivery of enterprise data quality management capabilities using Collibra and related platforms. Translate policies and regulatory expectations into requirements, user stories, and workflows; implement data quality measurement, monitoring, issue management, controls, and reporting; partner with business and technology stakeholders; support Agile delivery, testing, adoption, and governance forums to improve data quality and control effectiveness.

Lead translation of enterprise data governance policies and regulatory requirements into scalable platform solutions, workflows, controls, and reporting. Serve as SME for the data governance platform, define roadmap and priorities, elicit requirements from stakeholders, collaborate with delivery teams through Agile ceremonies, and drive adoption, automation, metrics, and regulatory evidence for governance frameworks.

Lead development and implementation of enterprise data quality management standards, controls, measurements, and Collibra-enabled solutions. Translate regulatory requirements into business and technical requirements, drive issue management, reporting, governance, and cross-functional adoption to improve data quality and regulatory alignment.

Lead global business development and enterprise sales for Wealth Services custody and clearing. Drive pipeline generation, manage full sales cycle, cultivate UHNW and institutional relationships, shape go-to-market strategies, coordinate cross-functional onboarding and integrations, and represent State Street at industry events to grow revenue.