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Posted Mar 29, 2026

Business Analyst - Private Equity (PE) with AI

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We are seeking a highly analytical and forward-thinking Business Analyst with Private Equity domain experience and exposure to Artificial Intelligence (AI) initiatives. This role will support business transformation programs that integrate AI-driven insights, automation, and data intelligence into Private Equity operations. The ideal candidate will combine strong business analysis expertise, Salesforce knowledge, data validation skills, and the ability to operate in a hybrid BA/Scrum Master capacity. Experience working on AI-enabled solutions such as predictive analytics, intelligent automation, machine learning models, or AI-powered reporting tools is highly desirable. Key Responsibilities 1. Business Analysis & Requirement Documentation • Engage with Private Equity stakeholders (Investment Teams, Operations, Finance, Portfolio Management) to gather business requirements. • Translate business needs into clear, structured documentation including BRDs, FRDs, user stories, and process flows. • Define functional and non-functional requirements for AI-enabled solutions. • Facilitate workshops and stakeholder discussions to align business and technology objectives. 2. AI & Data-Driven Initiatives • Support implementation of AI/ML-based solutions for portfolio analytics, risk assessment, investor reporting, or operational automation. • Collaborate with Data Science and Engineering teams to define AI model inputs, outputs, validation criteria, and success metrics. • Assist in identifying business use cases for AI within Private Equity (e.g., predictive portfolio performance, automated document processing, sentiment analysis). • Ensure AI solutions align with regulatory and compliance requirements. 3. Data Review, Validation & Quality Assurance • Perform detailed data analysis and validation across investment, financial, and operational datasets. • Validate AI model outputs and ensure accuracy and business relevance. • Support UAT by comparing AI-driven insights with expected outcomes. • Identify data inconsistencies, anomalies, and quality gaps. 4. Salesforce & System Enhancements • Gather and define requirements for Salesforce enhancements, workflows, dashboards, and integrations. • Work with Salesforce (Sales Cloud / Financial Services Cloud preferred) to support reporting and automation. • Partner with Salesforce admins and developers to validate configurations and enhancements. • Ensure AI-driven insights integrate effectively with Salesforce CRM workflows. 5. Agile & Scrum Role (Hybrid BA/Scrum Master) • Write detailed user stories with clear acceptance criteria. • Participate in sprint planning, backlog grooming, daily stand-ups, retrospectives. • Act as a Scrum facilitator when needed to remove blockers and drive delivery. • Prioritize backlog based on business value and AI initiative roadmap. 6. Decision Making & Stakeholder Communication • Provide data-backed recommendations to support investment and operational decisions. • Communicate AI-driven insights in a simple, business-friendly manner. • Work with senior stakeholders to align AI initiatives with strategic goals. • Manage competing priorities and deliver under tight timelines. Required Qualifications • 5+ years of experience as a Business Analyst. • Strong experience in Private Equity / Asset Management / Investment Management. • Hands-on experience with Artificial Intelligence initiatives, such as: • Predictive analytics • Machine learning model implementation • Intelligent automation • AI-powered dashboards or reporting • Strong experience in data review, validation, reconciliation, and analysis. • Experience with Salesforce CRM. • Experience writing detailed functional requirements and user stories. • Exposure to Agile/Scrum methodology. • Excellent communication and stakeholder management skills. Preferred Qualifications • Experience working directly with Data Science or AI Engineering teams. • Understanding of AI governance, model validation, and risk controls. • SQL knowledge for data validation. • Experience with BI tools (Power BI, Tableau). • Prior experience acting as Scrum Master. Key Skills • Artificial Intelligence & AI Use Case Identification • Private Equity Investment Lifecycle Knowledge • Salesforce CRM • Data Analysis & Validation • Agile / Scrum • Requirement Documentation • Decision Making & Problem Solving • Strong Communication