Business Analyst – AI Solutions

Impronics Technologies; Gurugram District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Impronics Technologies seeks an experienced Business Analyst with a focus on banking processes and AI-driven solutions. You will gather requirements, translate them into BRDs/FRDs and user stories, and collaborate with product, tech, and data science teams to implement AI-enabled banking use cases.

You’ll drive UAT, validation, and ROI assessments while guiding stakeholders across business and regulatory perspectives.

Qualifications

• 5+ years as a Business Analyst with AI/ML or data-driven projects.
• Strong banking domain understanding and regulatory awareness.
• Experience documenting BRDs/FRDs and user stories, BPMN/UML.
• Hands-on with AI/ML concepts, NLP, RPA and analytics tools.

Responsibilities

• Gather, analyze, and document business requirements for AI-driven banking solutions.
• Translate business needs into functional specs, BRDs, FRDs, user stories, and flows.
• Collaborate with product, technology, and data science teams to align AI goals.
• Support UAT planning, test case creation, and validation of AI-enabled solutions.
• Identify opportunities to apply AI/ML, NLP, predictive analytics and automation.
• Facilitate workshops and stakeholder discussions, prepare ROI assessments.

Skills

Business Analysis

AI/ML concepts

NLP

Data Visualization

Agile/Scrum

Stakeholder Management

Documentation

Communication

Tools

Power BI

Tableau

UML

BPMN

Job description

We are looking for an experienced Business Analyst with strong expertise in banking processes and AI-driven solutions. The ideal candidate will work closely with business stakeholders, technology teams, and data science teams to gather requirements, analyze business processes, and support the implementation of AI/ML-based banking solutions. The role requires strong analytical skills, stakeholder management, and knowledge of digital banking and regulatory frameworks. Prior experience in the e-commerce domain is required.

Key Responsibilities

Business Analysis & Requirement Gathering

• Gather, analyze, and document business requirements for AI-driven banking solutions.
• Translate business needs into functional specifications, BRDs, FRDs, user stories, and process flows.
• Conduct gap analysis, feasibility studies, and impact assessments for AI use cases.
• Collaborate with product, technology, and data science teams to align AI capabilities with business objectives.
• Support UAT planning, test case preparation, and validation of AI-enabled solutions.
• Identify opportunities to implement AI/ML, NLP, predictive analytics, and automation across banking operations.
• Work with data science teams to define model requirements, training datasets, and performance metrics.
• Chatbots & voicebots
• Intelligent process automation
• Validate AI model outputs to ensure alignment with business and regulatory expectations.

Banking Domain Expertise

• Analyze and optimize banking processes across retail banking, corporate banking, lending, payments, onboarding, KYC/AML, and digital banking channels.
• Ensure compliance with banking regulations, risk frameworks, and data privacy standards such as GDPR, PCI-DSS, SWIFT CSP, and PDPL.
• Work closely with compliance and risk teams to support responsible AI governance.

Stakeholder Management

• Act as a bridge between business teams, technology teams, and AI/data teams.
• Conduct workshops, requirement gathering sessions, and stakeholder discussions.
• Prepare business cases, executive presentations, and ROI assessments for AI initiatives.

Required Skills & Experience

• 5 + years of experience as a Business Analyst, including at least 2+ years in AI/ML or data-driven projects.
• Strong understanding of banking operations, digital channels, lending, payments, and regulatory frameworks.
• Hands-on experience with:
  • AI/ML concepts and model lifecycle
  • NLP, chatbots, RPA, predictive analytics
  • Data visualization tools such as Power BI or Tableau
  • Agile/Scrum methodologies
• Strong experience in documentation including BRDs, FRDs, BPMN, UML, and user stories.
• Excellent analytical, problem-solving, and communication skills.

Preferred Qualifications

• Experience with AI platforms such as Azure AI, AWS AI/ML, or Google Vertex AI.
• Certifications such as CBAP, CCBA, PMI-PBA, Scrum Master, or AI-related certifications.
• Exposure to cloud-based data platforms and MLOps environments.

Soft Skills

• Strong stakeholder engagement and communication skills.
• Ability to simplify complex AI concepts for non-technical stakeholders.
• Detail-oriented, proactive, and adaptable in fast-paced banking environments.
• Strong multitasking and time management abilities.