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Manager Business Analyst - AI

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Onsite

Manager Business Analyst - AI

Fidelity International

Manager Business Analyst - AI

Skills

Data ScienceData AnalysisAINLP / Natural Language ProcessingChange ManagementCompliance

3 months ago

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Important information


Contract type:

Permanent

Location:

Gurugram, Haryana, India

Work mode:

Onsite

Published on:

10 August 2026

What they need


Job Summary

Title: Manager - Business Analyst (Data and AI)

Department: GC Technology

Location: Gurgaon

Reports To: Senior Manager

Level: Grade 5

Job Type: Permanent

Role Overview

The Manager - Business Analyst (Data and AI) will play a critical role as the Product Owner for the various AI Solutions within GC, supporting the selection, design, and delivery of a data- and AI-driven regulatory change management capability. The role focuses on improving relevance, reducing regulatory noise, and ensuring auditable, end-to-end traceability of regulatory change across jurisdictions and regulatory domains, leveraging Data Science, NLP, and Agentic AI techniques.

Key Responsibilities

  • Partner with Legal, Compliance, Risk, and Technology stakeholders to gather, analyse, and translate business requirements into scalable AI-enabled solutions, user journeys, and target operating models.
  • Rethink and redesign existing processes, workflows, and solutions through an Agentic AI lens, identifying where autonomous, semi-autonomous, and human-in-the-loop capabilities can improve efficiency, decision-making, control, and user experience.
  • Act as the Product Owner for AI solutions within the General Counsel function, helping define product vision, roadmap, priorities, and business outcomes aligned to legal, risk, and compliance needs.
  • Define business, data, and integration requirements across multiple systems, documents, and platforms, ensuring appropriate focus on data quality, traceability, governance, auditability, and process transparency.
  • Work closely with AI, data science, and engineering teams to shape solution design, including AI/NLP use cases, agent workflows, orchestration logic, evaluation criteria, and risk-aware controls.
  • Support end-to-end delivery through prioritisation, acceptance criteria, testing, UAT, stakeholder engagement, adoption planning, and performance tracking to ensure solutions deliver measurable business value.

Experience and Qualifications

Technical -

  • B.E./B.Tech/MBA/M.C.A/Any other Bachelors Degree.
  • 10+ years as a BA in financial services (Compliance/ Risk/ RegTech /Banking preferred) with Data Science and AI experience
  • Strong capability in data analysis and understanding of data structures, including schemas, mappings, metadata, and data quality checks.
  • Good understanding of AI / NLP concepts, with preference for experience in Agentic AI and human-in-the-loop review models.
  • Ability to define structured requirements for AI products, including control, governance, and evaluation needs.
  • Experience working with multiple data ingestion methods such as APIs, structured files, unstructured documents, and web-based sources.
  • Understanding of workflow, case management, and reporting solutions in a compliance or legal context is advantageous.
  • Good understanding of financial services and financial instruments.

Skills and Competencies

  • Strong team player
  • Self-motivation is essential, should demonstrate commitment to high quality design and development.
  • Willingness to work in different time-zones if required.
  • Initiative in keeping abreast of changing industry practices, analysis and design methods, tools and techniques and emerging technologies.
  • Ability to develop maintain working relationships with several stakeholders and testing professionals.
  • Flexibility and an open attitude to change.
  • Problem solving skills with the ability to think laterally, and to think with a medium term and long-term perspective.
  • Ability to learn and quickly get familiar with a complex business and technology environment.

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