Manager Data Analyst- FDI-Commercial
Job Summary
At EY were all in to shape your future with confidence.
Well help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.
Join EY and help to build a better working world.
Manager FDI
EY GDS Consulting Finance
As a Manager in our EY Finance Consulting Team you will lead client engagements focused on leveraging finance data intelligence and finance data lake solutions to drive strategic performance improvements. You will manage techno-functional assessments of finance data processes lead analysis of data challenges and design innovative data-driven finance solutions. Your role will involve collaborating with senior client stakeholders across industries and geographies to unlock actionable insights from finance data and enable data-driven decision-making.
The Opportunity
We are seeking an experienced Manager with deep expertise in finance data intelligence finance data lakes and finance process optimization. Data & AI Architect with expertise in Finance Data Lakes Data Virtualization and Data-as-a-Service (DaaS) to design and deliver scalable AI-enabled data platforms. Candidates should have strong knowledge of corporate finance processes ERP systems (SAP Oracle etc.) and finance data analytics. Experience in FP&A Financial Accounting and Reporting domains is highly desirable. This role offers a unique opportunity to lead and grow EYs global finance data intelligence service offering.
Your Key Responsibilities
- Lead client engagements and cross-functional teams managing workstreams guiding team members and building strong client relationships to deliver high-quality outcomes
- Lead the design and build of enterprise data lakes and finance data lakes lead data ingestion transformation and model expansion Integrate GL subledger reconciliation and audit datasets drive migration from legacy systems
- Implement data virtualization (e.g. Denodo) build Data-as-a-Service platforms enable self-service analytics and API-based data access
- Enable AI/GenAI-ready datasets build use cases like automated insights and anomaly detection support LLM/AI integrations via APIs
- Identify and prioritize finance data process improvement opportunities through automation data integration technology upgrades and finance data transformation initiatives.
- Oversee the implementation and development of finance data lakes data pipelines and governance frameworks.
- Data Engineering knowledge develop ETL/ELT pipelines (Informatica SQL Python) Integrate platforms like Databricks Hive Greenplum optimize data pipelines and queries
- Lead design and implementation of 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 ensuring alignment 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.
- Effectively prioritize and manage multiple projects in a fast-paced high-pressure environment.
- Willingness to travel domestically and internationally as required.
Skills and Attributes for Success
- Proven experience in consulting or finance data intelligence leadership roles.
- Strong leadership and stakeholder management skills with the ability to influence at all organizational levels.
- Excellent communication skills both verbal and written with the ability to present complex information clearly.
- Adaptable and able to navigate ambiguity and evolving business environments.
- Collaborative team leader with a focus on driving results and fostering a positive team culture.
- Strong analytical and problem-solving skills with attention to detail.
- Knowledge on AI models and understanding of context of GenAI. ML and Agentic in Finance
To Qualify for the Role You Must Have
- Bachelors degree in Computer Science Information Technology Data Engineering or a related field
- Masters degree (preferred) in Computer Science Data Science AI or related discipline
- Certifications (Databricks Azure GenAI/LLM Denodo)
- 5-8 years of relevant experience in finance data intelligence finance analytics or finance domain.
- Advanced skills in Excel PowerPoint and SQL.
What We Look For
- 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.
What Working at EY Offers
At EY you will lead impactful projects with some of the worlds top companies. We emphasize education coaching and practical experience to support your leadership and professional growth. You will have the autonomy to shape your career with an individual progression plan and take on challenging assignments in an interdisciplinary environment focused on quality and knowledge sharing. Additionally we offer:
- Support coaching and feedback from experienced leaders and colleagues.
- Opportunities to develop new skills and advance your career.
- Flexibility to manage your role in a way that suits you.
EY Building a better working world
EY is building a better working world by creating new value for clients people society and the planet while building trust in capital markets.
Enabled by data AI and advanced technology EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance consulting tax strategy and transactions. Fueled by sector insights a globally connected multi-disciplinary network and diverse ecosystem partners EY teams can provide services in more than 150 countries and territories.
Required Experience:
Manager
About Company
Bij EY Studio+ creëren we transformatieve ervaringen die mensen in beweging brengen en markten vormgeven. We combineren design, technologie en commercieel inzicht, aangevuld met EY.ai, een verenigend platform en aangedreven door ons volledige spectrum van diensten.