New opportunity

Manager - Business Analyst / Data & AI Consultant

EY · Gurgaon, India

About this role

EY seeks a Manager - Business Analyst / Data & AI Consultant in Gurgaon to lead business analysis and data-led transformation across Wealth & Asset Management (WAM) and Capital Markets. The role owns solution shaping and delivery governance, guides teams working on order and trade data, system integrations and workflow modernization, and promotes practical AI-enabled improvements to delivery.

Responsibilities

Lead end-to-end BA workstreams; define requirements strategy, documentation standards, workstream plans, review cadence, risks, dependencies and sign-off paths. Facilitate workshops and decisions with senior business, product, architecture, technology, data and delivery stakeholders.
Review BRDs, FRDs, FSDs, user stories, acceptance criteria, data mappings, API requirements, testing scope and implementation-readiness materials. Guide source-to-target mapping, data lineage, reconciliation, data-quality controls, exception handling and validation for multi-asset data flows.
Partner with engineering and architecture teams on APIs, databases, integrations and downstream data consumption. Manage delivery risks, change requests, defects and escalations; assign and review analysts’ work, coach the team and maintain consistent BA outputs.
Identify practical generative AI use cases, reusable prompts, knowledge assets and documentation accelerators; support responsible AI adoption. Contribute to estimates, proposals, client demonstrations and leadership updates as needed.

Requirements

8–12 years of relevant experience in business analysis, technology consulting, data transformation, financial-services transformation or related roles, including leadership of BA workstreams or small teams. Strong financial-services knowledge, including order/trade lifecycle, front-, middle- and back-office processes, multi-asset data and enterprise data ecosystems.
Ability to guide SQL investigations, data analysis, mappings, reconciliation and data-quality work; familiarity with JSON/XML, Postman, API requirements, SDLC, Agile, Scrum, Waterfall, Jira or similar ALM tools, and Confluence. Strong stakeholder management, facilitation, communication and delivery-governance skills, plus an AI-native mindset.
Bachelor’s degree in Computer Science, Management Information Systems, Finance, Engineering, Business or a related field, or equivalent work experience.

Preferred

Experience in wealth or asset management, capital markets, trading, investment, portfolio or reporting platforms. CBAP, Agile/Scrum, Microsoft Azure, Databricks, consulting or AI-related certifications are advantageous, not mandatory. Salary is described as competitive.

For full details about this role, click “Apply on company site” to view the employer’s original posting.

Skills for this role

Business analysisData transformationWealth managementAsset managementCapital marketsOrder and trade lifecycleData mappingData lineageData reconciliationData qualitySQLAPI requirementsJSONXMLPostmanSystem integrationData migrationStakeholder managementRequirements gatheringBRDsFRDsFSDsUser storiesAcceptance criteriaTest strategySDLCAgileScrumWaterfallJira or similar ALM tools [MAKE TWO]

Checking your profile…

Preparation suggestions, not the employer’s actual interview questions. Always check the original posting for current requirements.

Understand the role

What matters most

Own the solution approach
The role leads solution discussions across WAM and Capital Markets and contributes to roadmaps, estimates, proposals and leadership updates. Prepare to explain how you would turn business goals into a feasible approach with clear decisions and delivery stages.
Assure order and trade data flows
EY calls for oversight of multi-asset data mapping, lineage, reconciliation, quality controls and exception handling. Prepare to walk through how you would review a consolidated order/trade data flow and its validation strategy.
Lead BA delivery and governance
The manager defines requirements strategy, plans, review cadence and sign-off paths, while managing risks, changes and escalations. Prepare to show how you would maintain consistent, reviewable outputs across analysts and coach the team.
Embed practical AI in delivery
The role identifies GenAI use cases, reusable prompts and documentation accelerators while promoting responsible AI practices. Prepare to distinguish a useful BA workflow improvement from an AI use case that still needs human review.

Likely challenges to think through

Reaching decisions across stakeholders
Likely challenge (inference): senior business stakeholders may want rapid progress while architecture and delivery teams need feasibility and dependency decisions. Prepare a method for documenting options, trade-offs, owners and sign-off without leaving key requirements ambiguous.
Balancing data completeness and delivery pace
Likely challenge (inference): multi-asset order/trade integrations can require detailed lineage, reconciliation and exception rules even when timelines press for implementation. Prepare to explain which controls and validation evidence you would prioritize before sign-off.
Using AI without weakening review
Likely challenge (inference): AI-assisted documentation may save time but introduce inaccuracies into requirements or mappings. Prepare to describe bounded use cases, human review and how you would check whether an accelerator improves delivery quality.

Practice your answers

Technical practice

How would you trace an order or trade through front-, middle- and back-office data flows?

What to coverThe role calls for understanding the order/trade lifecycle and multi-asset data. Preparation suggestion: Explain how you would identify key events, handoffs and data consumers, while noting where asset-class differences affect requirements.

How would you set up a BA workstream for a data-modernization initiative?

What to coverThe role owns the requirements strategy, workstream plan, documentation standards, review cadence and sign-off path. Preparation suggestion: Walk through how you would establish these, track dependencies and make decisions visible to stakeholders.

What would you check when reviewing a team's requirements deliverables?

What to coverThe role reviews BRDs, FRDs, FSDs, user stories, acceptance criteria and related materials. Preparation suggestion: Describe checks for clarity, consistency, traceability, feasibility and testability, including how you would resolve gaps with the author and stakeholders.

How would you guide source-to-target mapping and data-lineage work?

What to coverThe role provides direction on mappings, lineage and multi-asset data flows. Preparation suggestion: Explain how you would review field definitions, transformations, origins, destinations and unresolved assumptions before approving a mapping.

How would you investigate a reconciliation break in a consolidated trade data store?

What to coverThe role requires guiding SQL investigations, reconciliation, data-quality controls and exception handling. Preparation suggestion: Outline how you would narrow the affected records, compare source and target data, identify the cause and agree validation and exception-handling steps.

How would you define and review API requirements for a system integration?

What to coverThe role covers API requirements, JSON/XML, Postman and integration with downstream consumers. Preparation suggestion: Address data contracts, expected behavior, error handling and how you would check that the requirements meet both business and engineering needs.

How would you evaluate a proposed database or integration solution against business needs?

What to coverThe role partners with architecture and engineering on scalable databases, integrations and downstream consumption. Preparation suggestion: Compare options using data-flow requirements, consumer impacts, quality controls and implementation dependencies rather than assuming a particular technology.

How would you determine testing scope and implementation readiness?

What to coverThe role reviews test strategies, defect analysis and implementation-readiness materials. Preparation suggestion: Explain how you would connect acceptance criteria and data validations to test coverage, then assess open defects, decisions and operational impacts before sign-off.

How would you adapt BA governance across Agile and Waterfall delivery?

What to coverThe role calls for SDLC knowledge, delivery reporting, risk tracking and scope control across workstreams. Preparation suggestion: Contrast how you would maintain requirements traceability, decision records and stakeholder reviews in each approach without losing governance.

How would you select and assess a practical GenAI improvement for BA delivery?

What to coverThe role seeks reusable prompts, knowledge assets, documentation accelerators and responsible AI practices. Preparation suggestion: Propose an appropriate BA task, explain human review and information-handling safeguards, and define how you would judge whether the change improves delivery.

Behavioural practice

Tell me about a time you aligned senior stakeholders who disagreed on requirements.

What to coverThe role involves workshops, decision forums and alignment across business and technology stakeholders. Preparation suggestion: Use situation, action and result to show how you clarified the disagreement, facilitated a decision and recorded its impact.

Describe a time you managed conflicting priorities or a change request across workstreams.

What to coverThe role includes scope control, dependencies and change-request management. Preparation suggestion: Use situation, action and result to explain the trade-offs you presented, who made the decision and how you adjusted the plan.

Tell me about a delivery risk or defect trend you had to escalate.

What to coverThe role calls for risk tracking, defect analysis, governance updates and stakeholder escalation. Preparation suggestion: Use situation, action and result to show when you escalated, what evidence you provided and what happened next.

Describe a time you improved the quality of analysts' work.

What to coverThe role assigns and reviews analysts' work, coaches team members and maintains consistent BA outputs. Preparation suggestion: Use situation, action and result to explain the quality gap, your feedback or standards, and the observable change.

Tell me about a time you introduced a new delivery practice to a team.

What to coverThe role emphasizes AI-native adoption and practical productivity improvements. Preparation suggestion: Use situation, action and result to describe a relevant change, how you addressed concerns and how you evaluated its effect; an AI example is useful if you have a real one.

Sharpen your knowledge

Topics to prepare

Order and trade lifecycle
Posting: EY expects strong understanding of front-, middle- and back-office processes and multi-asset data. Practice suggestion: Trace a hypothetical order from creation through execution, settlement and reporting; identify where records or definitions might diverge.
Enterprise data flows and controls
Posting: The role guides consolidated order/trade data stores, lineage, reconciliation, data quality and downstream consumption. Practice suggestion: Sketch a source-to-target flow and explain where validation, exception handling and ownership decisions belong.
BA solution ownership and governance
Posting: The manager defines requirements strategy, workstream plans, review cadence, dependencies and sign-off paths. Practice suggestion: Outline a delivery approach for a hypothetical system integration, including decision points and escalation triggers.
Delivery methods and readiness
Posting: Working knowledge of SDLC, Agile, Scrum and Waterfall is expected, alongside testing scope and implementation readiness. Practice suggestion: Compare how requirements approval, defect review and release readiness would be governed under Agile versus Waterfall.
Responsible AI in BA delivery
Posting: EY seeks practical GenAI use cases, reusable prompts, documentation accelerators and responsible adoption. Practice suggestion: Identify one BA-documentation use case and describe human review, confidentiality safeguards and a way to check its value.

Skills to revise

Review requirements artifacts
Posting: The manager reviews BRDs, FRDs, FSDs, user stories, acceptance criteria and test strategies. Practice suggestion: Critique a sample user story and acceptance criteria for ambiguity, traceability, testability and missing decisions; state what you would ask an analyst to revise.
Guide SQL and reconciliation analysis
Posting: EY expects the ability to guide SQL investigation, mappings, reconciliation and data-quality work without executing every task personally. Practice suggestion: Review a hypothetical source-to-target mapping and SQL check; identify unmatched records, control gaps and follow-up questions.
Assess API and integration requirements
Posting: The role reviews API requirements and works with architecture and engineering; JSON/XML and Postman are named. Practice suggestion: Inspect a sample JSON or XML payload and draft questions on field definitions, validation, errors and downstream use; use Postman to examine a sample response if available.
Facilitate decisions and manage delivery risks
Posting: The manager leads senior-stakeholder forums and manages conflicting priorities, risks, change requests and escalations. Practice suggestion: Role-play a workshop where business and technology stakeholders disagree on scope; produce a decision log, owner and escalation path.
Review and coach BA outputs
Posting: The role assigns analysts' work, reviews outputs and maintains consistent BA standards. Practice suggestion: Create a short review checklist for mappings and requirements, then practice giving an analyst specific, prioritized feedback on a sample deliverable.

Your preparation checklist

Build a transformation walkthrough
Prepare a real example, if available, showing your role in a financial-services BA or data workstream, the solution approach, stakeholder decisions, delivery outcomes and lessons learned. Distinguish your contributions from the team’s.
Draft a BA workstream plan
For a hypothetical WAM or capital-markets modernization effort, outline the requirements strategy, deliverables, review cadence, dependencies, risks, decision log and sign-off path. The posting names these as manager-level responsibilities.
Work through an order-to-trade data design
Sketch a multi-asset order/trade flow from source systems to a consolidated store and downstream consumers. Bring sample source-to-target mappings, lineage, reconciliation checks, data-quality rules and exception handling.
Prepare an artifact review
Bring a sanitized example or mock review of a BRD, user stories, acceptance criteria and data mapping. Mark ambiguities, missing decisions and testability issues, then explain how you would guide analysts to resolve them.
Rehearse integration and validation decisions
Sketch an API and database integration, including example JSON or XML fields, SQL investigation questions, validation checks, testing scope and implementation-readiness concerns. Focus on how you would review the work, not just execute it.
Show how you lead decisions and delivery
Prepare a concise workshop agenda and a scenario involving conflicting business and technology priorities. Explain how you would facilitate a decision, coach analysts, report risks and escalate unresolved issues.
Propose a bounded AI delivery improvement
Draft one practical GenAI use case for BA documentation or knowledge reuse, with a sample prompt, human review steps, data-handling safeguards and a way to evaluate usefulness. The role emphasizes responsible team adoption.
Bring questions about ownership and success
Ask which WAM or capital-markets workstreams need solution ownership, how BA outputs and data controls are reviewed, and what success looks like for delivery governance and AI adoption. Ask where estimation, proposals or client demonstrations fit into the role.

Availability last checked: 5 Nov 2026. Status can change after a check; confirm on the employer’s website. Report an issue · Our checking policy

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