Business Analyst - Private Equity (PE) with AI

🌍 Remote, USA 🚀 Full-time 🕐 Posted Recently

Job Description

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

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