Join EY to forge a career path as unique as you are. Leverage global scale, inclusive culture, and advanced technology to achieve your best. Your insights will enhance EY's growth. This role focuses on leading client engagements that utilize finance data intelligence and data lake solutions to drive significant strategic performance improvements.

As a Manager in our Finance Consulting Team, you will spearhead techno-functional assessments of finance data processes. You'll analyze data challenges and architect innovative, data-driven finance solutions. The role involves close collaboration with senior client stakeholders across diverse industries and geographies to extract actionable insights from finance data, enabling robust, data-informed decision-making.

We are seeking an experienced Manager with profound expertise in finance data intelligence, finance data lakes, and optimizing finance processes. Essential knowledge includes corporate finance, ERP systems (SAP, Oracle), and finance data analytics. Experience in FP&A, Financial Accounting, and Reporting is highly valued. This position presents an exceptional opportunity to lead and expand EY’s global finance data intelligence service offerings.

Lead client engagements across Record to Report (R2R), Procure to Pay (P2P), and Order to Cash (O2C) processes, focusing on finance data flows, reconciliations, journals, transaction matching, variance analysis, intercompany transactions, and fixed assets accounting.

Drive workshops and stakeholder interviews to assess current finance data processes (As-Is) and design optimized future state processes utilizing finance data lakes and advanced analytics.

Identify and prioritize finance data process improvements through automation, data integration, technology upgrades, and finance data transformation.

Oversee the development and implementation of finance data lakes, data pipelines, and governance frameworks.

Design and implement KPIs, dashboards, and control frameworks for finance data monitoring and reporting across O2C, P2P, and R2R processes.

Translate complex business requirements into technical data models and solutions, aligning with client objectives.

Lead data profiling, data quality assessments, and validation activities using SQL, Excel, and analytics tools.

Ensure comprehensive documentation of finance data processes, data models, and project deliverables.

Collaborate with project managers, cross-functional teams, and senior client stakeholders to ensure successful project delivery.

Apply strong accounting expertise to interpret financial reports and statements within the context of data analytics and governance.

Provide guidance on financial consolidation, cost allocation, finance planning, and budgeting processes concerning data integration.

Support month-end, quarter-end, and year-end financial close activities, emphasizing data accuracy and reconciliation.

Possess in-depth technical knowledge of ERP systems (SAP ERP/HANA, Oracle GL) and finance data structures.

Lead Chart of Accounts (CoA) design and finance data architecture initiatives.

Manage and mentor junior consultants and analysts on finance data intelligence projects.

Effectively prioritize and manage multiple projects in a fast-paced, high-pressure environment.

Be willing to travel domestically and internationally as required.

Demonstrate proven experience in consulting or finance data intelligence leadership roles. Possess strong leadership and stakeholder management skills, with the ability to influence at all organizational levels.

Exhibit excellent communication skills, both verbal and written, with the ability to articulate complex information clearly. Be adaptable and adept at navigating ambiguity and evolving business environments.

Function as a collaborative team leader focused on driving results and fostering a positive team culture. Showcase strong analytical and problem-solving skills with meticulous attention to detail.

Possess knowledge of AI models and understand the context of Generative AI (GenAI), Machine Learning (ML), and Agentic AI in Finance.

To qualify, you must have a CA, CFA, CPA, MBA, or Master’s degree in Finance or a related field. You should have 5-8 years of relevant experience in finance data intelligence, finance analytics, or a finance domain.

Advanced skills in Excel, PowerPoint, and SQL are essential. Ideally, you will also have hands-on experience with ERP systems (SAP, Oracle), financial consolidation tools (HFM), and finance data lake platforms. Experience leading finance transformation, ERP implementation, and data governance initiatives is a plus, as is a project management certification or experience.

We seek a strategic thinker with commercial acumen, technical expertise, and a passion for continuous learning. A leader who thrives in a fast-paced environment and enjoys working with global teams and clients across industries.