Embark on a career-defining opportunity at EY, where we champion a culture of growth, inclusion, and technological advancement. We're seeking a Manager to spearhead business analysis and data-led transformation initiatives within Wealth & Asset Management and Capital Markets.

This pivotal role involves owning solution architecture, aligning stakeholders, planning workstreams, governing delivery, and rigorously reviewing key business analysis and data deliverables. You will guide teams through complex projects involving consolidated order/trade data, multi-asset class data flows, system integrations, modernizing workflows, ensuring data quality, and driving AI-enabled improvements.

Join EY to build an exceptional professional journey and contribute to creating a better working world.

Lead comprehensive business analysis workstreams for WAM, Capital Markets, data modernization, and system integration programs from inception to completion.

Take ownership of solution discussions, collaborating closely with business stakeholders, product owners, architects, data specialists, technology teams, QA, vendors, and senior delivery leadership.

Define robust BA delivery approaches, including workstream planning, requirement strategies, documentation standards, review cadences, risk mitigation, issue resolution, dependency management, and sign-off processes.

Facilitate requirements workshops, decision forums, prioritization sessions, and alignment meetings with senior leadership.

Critically review and provide direction on business requirements documents (BRDs), functional requirements documents (FRDs), user stories, data mappings, data dictionaries, API specifications, testing scope, and implementation documentation.

Guide teams on source-to-target mapping, data lineage tracking, reconciliation methodologies, data quality controls, exception handling, and validation strategies.

Collaborate with architecture and engineering teams to design scalable solutions for APIs, databases, integrations, and downstream consumption.

Proactively manage delivery risks, conflicting priorities, outstanding decisions, change requests, defect trends, and stakeholder escalations across all workstreams.

Mentor Senior BAs and analysts, delegate tasks effectively, review their outputs, provide coaching on best practices, and ensure consistent quality of all deliverables.

Champion AI-native delivery by identifying strategic AI use cases, developing productivity accelerators, creating reusable prompts, building knowledge assets, and promoting responsible AI practices.

Demonstrate 8-12 years of progressive experience in business analysis, technology consulting, data transformation, financial services transformation, or closely related fields.

Possess strong expertise within the Financial Services sector, with a distinct preference for experience in Wealth Management, Asset Management, Capital Markets, trading systems, investment platforms, portfolio systems, or reporting platforms.

Exhibit a deep understanding of the order/trade lifecycle, front-to-back office processes, multi-asset class data intricacies, and enterprise data ecosystems.

Showcase proven success in leading BA workstreams or small teams on complex transformation initiatives, data migrations, platform modernizations, system integrations, or regulatory/reporting projects.

Maintain a strong, hands-on understanding of data mapping, data analysis, SQL querying, reconciliation, data quality assessment, API requirements, JSON/XML formats, and Postman, with the capability to guide and review team outputs.

Possess demonstrated experience in managing senior stakeholders, expertly facilitating workshops, resolving ambiguity, driving critical decisions, and aligning business expectations with technological realities.

Have substantial experience reviewing essential project documentation including BRDs, FRDs, FSDs, user stories, data mappings, acceptance criteria, test strategies, defect analysis reports, and implementation readiness materials.

Demonstrate working knowledge of the Software Development Life Cycle (SDLC), Agile and Scrum methodologies, Waterfall project management, ALM tools like Jira, Confluence, delivery reporting mechanisms, risk tracking, and established governance practices.

Cultivate a strong AI-native mindset, capable of identifying practical Generative AI (GenAI) use cases and embedding AI-driven productivity enhancements throughout BA and delivery activities.

Leverage strong domain knowledge in WAM and Capital Markets to effectively lead discussions across business, data, technology, product, and architecture domains.

Exercise ownership of solutions encompassing requirements, data flows, APIs, system integrations, testing scope, implementation impacts, and operational readiness.

Effectively review and guide SQL analysis, data mapping, data lineage, data reconciliation, and data quality controls without necessarily executing every task personally.

Apply strong stakeholder management, facilitation, negotiation, decision-making, and executive communication skills.

Exhibit effective delivery leadership, including workstream planning, risk and issue management, dependency tracking, scope control, status reporting, and escalation management.

Possess the ability to mentor analysts, elevate BA standards, develop reusable templates, and ensure overall quality and consistency in deliverables.

Apply a commercial and consulting mindset to support solutioning efforts, provide accurate estimates, assist with proposals, deliver client presentations, and formulate future-state recommendations.

Drive AI-native adoption across teams by identifying relevant use cases, adhering to responsible AI principles, and implementing productivity-focused delivery improvements.

Possess a Bachelor’s degree in Computer Science, Management Information Systems, Finance, Engineering, Business, or a related field, or equivalent practical work experience.