Senior AI Business Analyst

Ascendion Engineering; India; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Ascendion is seeking a Senior AI Business Analyst to join its AI CoE in Bangalore. You will lead the definition of Agentic Workflows, translate business needs into precise AI requirements and collaborate with AI Engineers to shape autonomous workflows.

You will drive requirements elicitation, maintain BRDs and UIs, ensure traceability in Azure, and partner with Legal and Ethical AI teams to embed compliance in the AI solutions. Strong communication and change‑management skills are essential.

Qualifications

• Bachelor's degree or higher in Business Administration, Information Systems, Computer Science, or a quantitative field.
• Experience in Business Analysis, Technical Product Management, or Data Strategy.
• Operational experience with Technical Analysis including system architecture understanding.
• Proficiency in Azure DevOps for traceability and backlog management; Confluence for structured documentation.
• Experience with Generative AI or Agentic systems translating business intent into structural logic.

Responsibilities

• Lead the Definition of Agentic Workflows by moving beyond traditional process mapping to design intelligent, autonomous workflows.
• Define the rules of engagement, decision trees, and paths that allow AI agents to act independently within safe business boundaries.
• Core Business Analysis & Requirements Gathering, lead requirements elicitation, prioritization, and management (RACI).
• Translate business needs into clear user stories, acceptance criteria, and functional specifications for both traditional and AI‑driven features.
• Conduct stakeholder interviews, requirement workshops, and walkthroughs to ensure alignment.
• Drive Technical Analysis & Integration by understanding system architecture, API interactions, data flows, and integration points to support development teams with clear mapping documents and data readiness for AI models.

Skills

Azure DevOps

Confluence

Generative AI

Agentic systems

Stakeholder communication

Agile methodologies

Change management

Education

MBA / Information Systems / Computer Science

Tools

Confluence

BPMN

Azure DevOps

Job description

About Ascendion

Ascendion is a leader in AI-Native platform driven software engineering company that underwrites outcomes, helping businesses innovate faster, smarter, and with greater impact. We partner with Global 2000 clients across North America, UK, Europe, and APAC to solve complex challenges in data, experience design, software product engineering, and workforce transformation. Powered by expert engineers, thousands of AI agents, and our Engineering to the Power of AI™ (EngineeringAI) method, we deliver measurable outcomes that build trust, unlock value, and accelerate growth. Learn more at ascendion.com

Ascendion | Engineering to elevate life

We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us:

• Build the coolest tech for world's leading brands
• Solve complex problems – and learn new skills
• Experience the power of transforming digital engineering for Fortune 500 clients
• Master your craft with leading training programs and hands‑on experience

Experience a community of change makers! Join a culture of high‑performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion.

About the Role

We are seeking a visionary and results‑driven AI Business Analyst Manager to join our AI Center of Excellence (CoE). The ideal candidate will champion the alignment of AI with business strategy, empowering the business to realize the potential of AI to reshape strategic goals, while translating complex organizational needs into actionable AI and analytics roadmaps. You won’t just gather requirements; you will be the architect of business intent for our next generation of Agentic Workflows. You will serve as the crucial link between business stakeholders and AI Engineers, translating ambiguous business problems into precise Agent Behavioral Specifications and defining the business ontologies and domain rules that guide autonomous agents. You will define the logic that allows AI to reason, not just retrieve. You will report to the Head of AI-CoE.

Job Title: Senior AI Business Analyst

Key Responsibilities

• Lead the Definition of Agentic Workflows by moving beyond traditional process mapping to design intelligent, autonomous workflows.
• You will define the rules of engagement, decision trees, and paths that allow AI agents to act independently within safe business boundaries.
• Core Business Analysis & Requirements Gathering, lead requirements elicitation, prioritization, and management (RACI).
• Translate business needs into clear user stories, acceptance criteria, and functional specifications for both traditional and AI-driven features.
• Conduct stakeholder interviews, requirement workshops, and walkthroughs to ensure alignment.
• Drive Technical Analysis & Integration by understanding system architecture, API interactions, data flows, and integration points to support development teams with clear mapping documents and data readiness for AI models.
• Act as the primary translator to convert high‑level strategic goals into precise Agent Behavioral Specifications and technical requirements.
• Maintain Documentation & Knowledge Management by preparing and maintaining comprehensive documentation including BRDs, FSDs, User Stories, Use Case Documents, and visual process flows (BPMN) while ensuring structured version control and knowledge sharing using tools like Confluence.
• Collaborate with cross‑functional teams (Dev, QA, Architecture, Product) to drive backlog grooming, sprint planning, UAT support, and defect triage.
• Ensure end-to-end requirement traceability in Azure and proactively communicate risks, dependencies, and operational impacts.
• Drive AI product discovery by leading stakeholder workshops to identify high‑impact use cases and prioritizing the roadmap from proof‑of‑concept to deployment based on ROI and feasibility.
• Define success criteria by creating functional evaluation datasets and defining the business KPIs used to validate Agent performance during user acceptance testing and production.
• Champion change management by helping business units redesign organizational processes to accommodate the shift from human‑centric to agent‑augmented operations.
• Work with Legal and Ethical AI teams to embed compliance requirements directly into the business logic of the agents, ensuring that our autonomous systems operate responsibly and transparently.
• Collaborate across the AI CoE by working closely with AI Engineers, Ethical AI Managers, and Product Owners to ensure that business rules, compliance requirements, and user needs are correctly interpreted and embedded in every AI solution.
• Mentor and guide a team of Business Analysts, fostering a culture of innovation.

Minimum Qualifications

• A bachelors degree or higher in Business Administration (MBA), Information Systems, Computer Science, or a quantitative field.
• Experience in Business Analysis, Technical Product Management, or Data Strategy.
• Operational experience with Technical Analysis including system architecture understanding.
• Proficiency in Azure (DevOps) for traceability/backlog management and Confluence for structured documentation.
• Demonstrated experience in Generative AI or Agentic systems, specifically in translating business intent into structural logic, decision trees, or behavioral specifications for LLMs.
• Strong ability to define Business Domain Models and Taxonomies, you will act as the owner of the Business Language, defining the relationships between complex business concepts to ensure AI agents reason with the correct context.
• Proven ability to act as the translator between technical complexity and business value, effectively communicating AI capabilities, limitations, and risks to senior stakeholders.
• Experience defining AI Acceptance Criteria and Quality Standards, including the creation of Golden Datasets (Question/Answer pairs) to validate that model performance meets business expectations for accuracy and tone.
• Proficiency in process modeling and visualization tools to map current human workflows versus future agent‑augmented workflows.
• Strong background in Agile methodologies and experience driving Change Management or digital transformation initiatives within large enterprises.
• Understanding of Prompt Engineering concepts to structure context and business constraints that effectively guide model behavior.
• Experience in highly regulated industries where explainability and auditability are critical constraints.
• Professional certifications such as CBAP (Certified Business Analysis Professional), CSPO, SAFE or recent AI strategy certifications.
• Excellent problem-solving skills, attention to detail, and the ability to communicate complex data architectures to non‑technical stakeholders

Location: Bangalore