Position Summary

We are looking for a proactive and innovation-driven Business Analyst specializing in AI and digital transformation to join our growing team. This role focuses on evaluating business operations, discovering opportunities to apply AI-driven solutions, and supporting the development of intelligent systems that improve performance, customer experience, and organizational efficiency. You will collaborate with cross-functional teams to analyze data, define AI use cases, design process improvements, and coordinate technical execution across multiple business units.

Role Purpose

The Business Analyst – AI & Digital Transformation is responsible for bridging the gap between business goals and emerging AI technologies. The ideal candidate will possess strong analytical capabilities, a deep understanding of data and automation, and the ability to work with both technical and non-technical stakeholders. You will help shape the organization’s AI roadmap and ensure solutions are aligned with strategic objectives.

Core Responsibilities

1. AI Opportunity Identification & Business Case Development

• Assess business processes and pain points to identify opportunities for AI and automation (LLMs, chatbots, predictive analytics, recommendation engines, RPA, etc.).

• Develop business cases, ROI forecasts, feasibility analyses, and value assessments for AI initiatives.

• Work closely with strategy teams to align AI recommendations with long-term business goals.

2. Requirements Gathering & Process Redesign

• Conduct workshops, stakeholder interviews, and cross-department discovery sessions.

• Translate business needs into functional and technical requirements for AI/ML products.

• Map current processes (As-Is) and design optimized future-state processes (To-Be).

• Create user stories, acceptance criteria, use case documentation, and data flow diagrams.

3. Collaboration with Data Science & Engineering

• Work with AI/ML engineers to define model inputs, outputs, success metrics, and integration requirements.

• Coordinate data collection, data quality checks, and feature engineering support activities.

• Validate algorithmic outputs with subject-matter experts and ensure solutions meet business expectations.

4. Stakeholder Communication & Project Support

• Serve as the primary communication bridge between business teams, technical teams, and leadership.

• Prepare detailed reports, dashboards, presentations, and insights for decision-makers.

• Support project planning, sprint grooming, prioritization, and agile ceremonies.

• Track project milestones, risks, dependencies, and deliverables.

5. User Enablement & AI Adoption

• Assist in the rollout, training, and adoption of AI tools across the organization.

• Evaluate user feedback and track performance metrics to ensure continuous improvement.

• Promote responsible and ethical AI implementation in line with corporate governance guidelines.

Required Qualifications

• Bachelor’s degree in Business, Data Science, Computer Science, Economics, or a related discipline.

• 2–7 years of experience in business analysis, digital transformation, or data-driven roles.

• Strong understanding of AI technologies, including ML concepts, NLP, computer vision, RPA, and automation workflows.

• Experience with analytics and visualization tools (Power BI, Tableau, Qlik, Looker).

• Ability to gather, interpret, and translate complex data into actionable insights.

• Excellent communication, documentation, and stakeholder management skills.

• Experience working in agile environments.

Preferred Skills

• Knowledge of Python, SQL, or other analytics tools.

• Experience with cloud platforms (AWS, Azure, GCP) and API integrations.

• Exposure to large language models (GPT, Claude, Llama, etc.) and prompt engineering.

• Understanding of CRM/ERP systems and enterprise data architecture.

• Certifications in business analysis or project management (CBAP, PMP, Scrum Master).

Personal Attributes

• Curious, tech-savvy, and eager to understand AI advancements.

• Strong problem-solving and critical-thinking abilities.

• Confident communicator with excellent presentation and interpersonal skills.

• Organized, detail-oriented, and able to manage multiple projects simultaneously.

• Collaborative mindset with a passion for innovation and continuous improvement.

What You’ll Gain

• Work on exciting AI transformation initiatives impacting the entire organization.

• Opportunities for upskilling in AI, data science, and automation tools.

• A dynamic work environment with diverse projects and continuous learning.

• Competitive pay, benefits, and career growth opportunities.