Senior Business Analyst – Agentic Enterprise Intelligence; AEI

Position: Senior Business Analyst – Agentic Enterprise Intelligence (AEI)
Quantiphi is an award winning Data Science and Machine Learning Software and Services Company focused on helping organizations translate the big promise of Machine Learning technologies into quantifiable business impact. We were founded on the belief that machine learning and artificial intelligence are transformative technologies that will create the next quantum gain in customer experience and unit economics of businesses.

We are one of the five global launch partners for Google in Machine Learning and one of the three global launch partners for Google Cloud Contact Center AI solution. Our signature approach combines ground-breaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.

Role :
Senior Business Analyst – Agentic Enterprise Intelligence (AEI)
Work Location :
India (Mumbai, Bangalore) (Hybrid)

Experience:

6+ years

Job Description

As part of the core delivery team of Quantiphi, the Senior Business Analyst for AEI will be responsible for bridging the gap between business requirements and technical implementation for enterprise AI solutions. Your focus will be to translate complex business problems into actionable AI use cases, design solution architectures for Generative AI, Custom ML, Document AI, and Agentic AI projects, and ensure successful delivery through effective stakeholder management and requirements analysis.

You will act as a conduit between technical team members (ML engineers, platform engineers, software developers etc.) and business customers, taking the lead in preparing functional and technical specification documents for AI-driven solutions.

Key Responsibilities

Requirements Gathering & Analysis:

● Gather customer requirements and analyze their needs to determine analytical and AI solution requirements for enterprise projects

● Define comprehensive use cases for Generative AI, Agentic AI, Document AI, and Custom ML implementations

● Conduct discovery workshops and stakeholder interviews to identify AI opportunities and business value drivers

● Translate business objectives into measurable KPIs and success metrics for AI initiatives

● Document detailed functional and technical requirements, user stories, and acceptance criteria

● Perform gap analysis between current state and desired AI-enabled future state

● Create detailed process flow diagrams, data flow diagrams, and system architecture documentation

Solution Design & Architecture:

● Design end-to-end AI solution architectures aligned with business requirements and technical constraints

● Define data requirements, model specifications, and integration touchpoints for AI systems

● Collaborate with ML architects and engineers to design appropriate model architectures and training strategies

● Create solution blueprints for RAG (Retrieval-Augmented Generation) systems, agentic workflows, and document processing pipelines

● Design user interaction flows for AI-powered applications and intelligent automation solutions

● Define data governance, model governance, and responsible AI frameworks for implementations
● Develop proof-of-concept specifications and MVP scopes for AI initiatives Stakeholder

Management & Communication:

● Act as a liaison between stakeholders, project teams, development teams, and data science teams across the project lifecycle

● Manage customer communication and relationships across business and technical stakeholders

● Present solution designs, project updates, and business value propositions to C-suite executives and business leaders

● Facilitate workshops, design thinking sessions, and collaborative problem-solving meetings

● Guide customers on AI technology evaluation, use case prioritization, and ROI analysis

● Translate…