AI Business Analyst - QA, Officer

Role Summary The AI Business Analyst will turn operational data into actionable intelligence for Release Management, Program Management Office, End-to-End QA, Operational Deployments, QA integrations, and environment telemetry. This role is responsible for interrogating enterprise data sets across ServiceNow, Jira, telemetry platforms, logs, events, and databases to identify operational bottlenecks, workflow misalignments, stability patterns, and automation opportunities. The AI Business Analyst will act as a bridge between operational teams and AI-enabled delivery practices: translating raw signals into root-cause insights, converting recurring manual activities into automation backlog items, documenting remediation runbooks, and ensuring that findings are mapped to the teams that own the relevant operational processes. Key Responsibilities Analyze ServiceNow incident, request, change, catalog task, approval, SLA, and closure data to identify operational bottlenecks, recurring handoff delays, aging queues, rework loops, and ownership ambiguity across SaaS Operations teams. Mine Jira workflows to detect process misalignments such as linked Jira issues that remain open after upstream or dependent tickets reach defined DONE state, inconsistent transition usage, missing closure evidence, incomplete acceptance criteria, and stale dependencies. Develop repeatable query patterns, dashboards, exception reports, and data validation checks that help teams identify where process friction is occurring and which operational owners need to act. Translate findings into clear business narratives that explain impact, root cause, recommended actions, and expected operational benefit. Partner with telemetry analyst to mine logs, events, databases, system monitors, job schedules, and operational alerts for patterns that indicate application or platform instability, deployment risk, environment fragility, or recurring failure modes. Correlate telemetry findings with ServiceNow and Jira records to connect symptoms to operational actions, code changes, releases, configuration updates, deployment steps, or missing runbook guidance. Identify stability trends across environments, modules, clients, releases, patches, upgrades, and deployment windows; surface areas of instability before they become recurring production or client-impacting issues. Document operational remediation steps, escalation paths, environmental checks, validation procedures, and closure criteria for recurring incidents, deployment failures, batch issues, telemetry exceptions, and QA integration environment instability. Interface directly with end-to-end QA integration environment to document implementation plans, deployment steps, validation activities, environment dependencies, ownership boundaries, and readiness criteria. Produce environment workflow maps and implementation planning artifacts that support repeatability, onboarding, operational readiness, and future automation. Coordinate with other AI initiatives across the company to understand reusable patterns, governance expectations, prompt practices, data-source standards, entitlement models, responsible AI requirements, and operational support models. Help define practical AI use cases that improve SaaS Operations, deployment readiness, telemetry analysis, workflow compliance, and root-cause analysis without creating unmanaged operational risk. Technical Environment / Qualifications Minimum 10 - 12 years experience in Business Analysis / equivalent field. Strong business analysis experience in cloud based technologies (preferred), software delivery, release management, DevOps, QA, or operational process improvement. Hands on experience analyzing workflows in ServiceNow, Jira, or similar enterprise ticketing and work-management platforms. Experience creating AI prompts that are reusable, repeatable, interrogate large operational or functional data sets, and produce clear executive level metrics Experience translating technical findings into business-ready recommendations, runbooks, process maps, user stories, backlog items, acceptance criteria, or executive summaries. Comfortable working in ambiguous operational environments where the analyst must define the problem, find the right data, validate the evidence, and drive the next action. Understanding of responsible AI governance, usage standards, prompt design, retrieval-augmented generation concepts, data entitlement, source traceability, and audit-friendly AI documentation. About Charles River Development: Charles River Investment management System in a platform that provides many Front-Office functions including Portfolio Management, Order Management and Execution, Compliance, Performance & Attribution, Modelling, Scenario Analysis, and Wealth Management. We are part of the State Street Bank. State Street is one of the largest custodian banks, asset managers, and asset intelligence companies in the world. From technology to product innovation, we’re making our mark in the financial services industry. For more than two centuries, we’ve been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data & analytics, investment research & trading, and investment management to institutional clients. Work, Live and Grow. We make all efforts to create a great work environment. Our benefits packages are competitive and comprehensive. Details vary in location, but you may expect generous medical care, insurance and savings plans among other perks. You’ll have access to flexible Work Program to help you match your needs. And our wealth of development programs and educational support will help you reach your full potential. Inclusion, Diversity and Social Responsibility. We truly believe our employees’ diverse backgrounds, experiences and perspective are a powerful contributor to creating an inclusive environment where everyone can thrive and reach their maximum potential while adding value to both our organization and our clients. We warmly welcome candidates of diverse origin, background, ability, age, sexual orientation, gender identity and personality. Another fundamental value at State Street is active engagement with our communities around the world, both as a partner and a leader. You will have tools to help balance your professional and personal life, paid volunteer days, matching gift programs and access to employee networks that help you stay connected to what matters to you. State Street is an equal opportunity and affirmative action employer. Discover more at . Interested in learning more about us? Visit our LinkedIn page: State Street on LinkedIn About State Street Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success. We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future. As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law. Discover more information on jobs at Read our CEO Statement