Senior Information Technology Business Analyst
Senior Information Technology Business Analyst
Posted 5 days ago
SENIORITY
Lead
About the role
- We are seeking an experienced Senior Business Analyst / Product Owner with strong hands-on AI and automation capabilities to support the transformation of Digital Servicing and Customer Experience, with a focus on customer chat and digital servicing interactions.
- This is primarily a Product Owner / Senior Business Analyst role, requiring the ability to independently identify business problems, analyze supporting data, define product requirements, develop comprehensive Product Requirements Documents (PRDs), and drive solutions toward delivery.
- The ideal candidate will combine strong product ownership and business analysis expertise with practical technical capabilities in SQL, Python, APIs, AI-assisted coding, and workflow automation.
- The individual will work closely with product, business, engineering, and architecture stakeholders to identify customer servicing challenges, evaluate automation opportunities, define development-ready requirements, and support the implementation of intelligent and AI-driven solutions.
- The candidate should also be comfortable using AI-assisted development tools to build, test, and validate lightweight automation solutions and prototypes. AWS Kiro is the preferred platform, although experience with comparable AI-assisted coding and automation tools will be considered.
- A Senior Business Analyst or Technical Business Analyst with comparable Product Owner responsibilities and hands-on AI automation experience will also be a strong fit.
- Key Responsibilities1. Product Ownership & Requirements Management
- Independently identify business problems and own use cases from discovery through delivery.
- Develop comprehensive, development-ready PRDs, functional requirements, customer journeys, user stories, and acceptance criteria.
- Define business objectives, technical dependencies, integrations, priorities, and measurable success criteria.
- Collaborate with stakeholders to validate requirements, resolve gaps, and prioritize opportunities.
- Support Agile delivery, including backlog refinement, sprint planning, testing, and implementation.2. Customer Experience & Data Analysis
- Analyze customer chat journeys, digital servicing processes, and operational data to identify friction points.
- Identify recurring servicing issues, repetitive requests, inefficient workflows, and automation opportunities.
- Use SQL and analytical tools to independently investigate customer interactions and operational performance.
- Establish performance baselines and quantify improvement opportunities.
- Translate findings into actionable recommendations that improve customer experience and operational efficiency.
- Present analysis and recommendations to business and product stakeholders.3. Hands-On AI-Assisted Development & Automation
- Use AWS Kiro or comparable AI-assisted coding tools to generate, debug, refine, and validate working solutions.
- Develop lightweight prototypes, scripts, and workflow automations using Python, SQL, APIs, and related technologies.
- Build automations supporting reporting, data preparation, product analysis, testing, and validation.
- Independently analyze data and develop practical solutions using approved development tools.
- Validate AI-generated code for accuracy, reliability, security, and appropriate customer data handling.
- Translate business requirements into working technical solutions without needing full-time software engineering expertise.4. Agentic AI & Intelligent Automation
- Identify opportunities for agentic AI, conversational AI, and intelligent automation in digital servicing.
- Define AI-driven customer workflows, use cases, and functional requirements.
- Document agent interactions, API integrations, tool execution, orchestration, and workflow dependencies.
- Define fallback mechanisms, exception handling, and human-in-the-loop escalation.
- Partner with engineering teams to test, validate, and improve AI-driven solutions.
- First 90-Day Expectations
- Days 1–30: Discovery & Opportunity Identification
- Understand current digital servicing, customer chat, and automation processes.
- Engage product, business, engineering, and architecture stakeholders.
- Review customer interaction data and operational reporting.
- Identify servicing friction, workflow inefficiencies, and automation opportunities.
- Document an initial inventory of business problems and potential solutions.
- Days 30–60: Analysis & Solution Definition
- Independently analyze operational and customer interaction data using SQL.Establish performance baselines and quantify improvement opportunities.
- Prioritize customer servicing and automation use cases.
- Present evidence-based recommendations and identify practical AI-assisted solutions.
- Days 45–90: Requirements & Delivery Readiness
- Develop comprehensive PRDs for prioritized use cases.
- Define customer journeys, user stories, acceptance criteria, integration dependencies, and success metrics.
- Document agentic workflows, exception handling, and human escalation when applicable.
- Build and validate lightweight automation prototypes.
- Support engineering through implementation, testing, and delivery.
- Must work 100% onsite in Stamford, Connecticut.
- Immediate availability required.
- Must successfully complete mandatory background screening.
- Preferred Technical ExperienceAWS Kiro or comparable AI-assisted development tools
- Microsoft Power Platform / Copilot StudioUiPath or comparable automation platforms
- Azure AI services and Salesforce Agentforce
- Conversational AI, LLMs, and agentic AI frameworks
- Python automation, API integrations, and SQLPower BI or similar business intelligence tools
- Agent orchestration, workflow design, and human-in-the-loop automation
- Equivalent experience with comparable technologies will be considered.
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