Sr. Business Systems Analyst; B3617

Description

The AI Senior Business System Analyst (AI BSA) acts as the bridge between business stakeholders and technical teams in designing, implementing, and optimizing AI-driven solutions. This role focuses on understanding business needs, translating them into functional and technical requirements, evaluating AI tools, and ensuring successful delivery of machine learning, automation, and data analytics initiatives.

Key Responsibilities

Business Analysis & Requirements Gathering

· Engage with business stakeholders to understand objectives, problems, and opportunities where AI or automation can add value.

· Document current-state workflows and design future-state processes enhanced by AI/ML solutions.

· Translate business requirements into clear functional and technical specifications for data scientists, developers, and engineering teams.

· Conduct feasibility assessments and cost-benefit analysis for AI use cases.

AI & Data Solution Support

· Work closely with data scientists to understand model behavior, data dependencies, assumptions, and performance.

· Support dataset identification, data quality assessments, and data transformation requirements.

· Participate in model testing, validation, and monitoring activities.

Project Delivery & Stakeholder Management

· Act as product owner or business lead for AI initiatives, ensuring alignment between business goals and technical solutions.

· Manage user acceptance testing (UAT), including test scenarios, test scripts, and defect triage.

· Facilitate communication between business, technical, and governance teams (e.g., IT, data, privacy, risk).

· Coordinate deployment planning, rollout, training, and change management activities.

AI Governance & Risk

· Ensure AI solutions adhere to compliance requirements such as model governance, privacy, fairness, and explainability standards.

· Document model purpose, data lineage, and risk mitigation strategies.

· Support ongoing monitoring of model performance, drift, and audit requirements.

Continuous Improvement

· Identify opportunities for automation, optimization, or scaling of AI solutions.

· Benchmark industry trends in AI, large-language models (LLMs), analytics platforms, and intelligent automation.

· Recommend tools, platforms, or vendor solutions that align with business strategy.

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