IT Business Analysis

IT Business Analysis (State Street Bank and Trust Company; Quincy, MA): The individual contributor in this role will architect, design and deliver advanced solutions that drive the responsible adoption and scaling of emerging technologies – including AI, Digital, and Quantum – across the enterprise. The position will play a key role in mobilizing business opportunities, developing use cases, and supporting central AI platforms, services, best practices, and standards. Specific duties include: architecting, designing, and delivering innovative solutions as part of the Emerging Tech COE, driving the adoption and scaling of AI capabilities across multiple business lines and disciplines; leading the identification, development, and promotion of AI-powered business use cases, ensuring that emerging technologies deliver measurable impact and value for the organization; acting as a visionary educator and promoter for the future of emerging technology, championing responsible AI, digital, and quantum innovation, and inspiring teams to embrace new platforms and solutions; demonstrating hands-on experience with core AI platforms that serve as the technological backbone of the company, enabling scalable, sharable AI capabilities across diverse functions and teams; driving the future of innovation by mobilizing business units, educating stakeholders, and fostering a culture of continuous learning and experimentation in emerging technologies; evaluating, benchmarking, and onboarding new AI technologies, ensuring their integration aligns with strategic direction, governance standards, and the broader mission of the Emerging Tech COE; collaborating with business unit management to analyze requirements, asking probing questions to surface real needs and opportunities for AI-driven transformation; providing subject matter expertise on production processes, controls, and operations, with a focus on leveraging AI to enhance efficiency, effectiveness, and compliance; facilitating education, inspiration, and use-case opportunity identification for emerging tech services; advise on training curriculum and pathways for AI and digital innovation; communicating decisions and recommendations clearly to peers, development teams, business stakeholders, and senior IT leadership, fostering a culture of innovation and continuous improvement; guiding and supporting project staff, reviewing work and providing recommendations to ensure deliverables meet business and technical requirements;; overseeing requirements validation with development and QA teams, ensuring new functionality meets business needs and drives future innovation; leading project management activities for multiple, simultaneous initiatives, including planning, resource allocation, progress tracking, risk management, and stakeholder communication to ensure timely and successful delivery of emerging technology solutions; and identifying and defining define production implementation requirements, including those specific to emerging technology platforms (AI, Digital, Quantum). Hybrid remote telecommuting permitted pursuant to company policy.

Minimum Requirements: Bachelor’s degree, or its equivalent in Management Science, Project Management, Information Technology, or relevant field of study plus 7 years of proven experience as Business Analyst or in any occupation providing relevant analytical experience in financial services industry. Alternatively, the Employer will accept a master’s degree, or its equivalent in Management Science, Project Management, Information Technology, or relevant field of study plus 4 years of proven experience as Business Analyst or in any occupation providing relevant analytical experience in financial services industry.

Must have: Proven analysis skills at both the business level (analyzing the business process, workflows, and operations) and at the information level (how data and information is stored and maintained); Strong critical thinking skills, including considering stakeholder needs and asking probing questions until the real needs are surfaced and understood; Proven experience conducting cost-benefit and impact analyses (e.g., ROI, risk assessments); Proven experience determining the root cause of any data-related issues; Experience identifying opportunities for data management improvements; Ability to analyze and interpret large and complex datasets in varying formats to validate completeness, integrity, and accuracy of data; Proven ability to produce clear and compelling reports for different audiences; Experience using tools like Excel, SQL, Python, Power BI, Tableau; Experience eliciting, document, and refine business requirements and using techniques like use cases, user stories, and wireframes; Experience validating requirements and support testing processes; Ability to create visual models that support analyses, such as workflow diagrams or wireframe prototy