Location: Dublin 2
Other locations: Primary Location Only
Salary: Competitive
Requisition ID: 1726352
At EY, we’re all in to shape your future with confidence.
We’ll 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.
Your Key Responsibilities:
- Understand client business needs and translate them into data architecture requirements.
- Collaborate with the Client’s business and IT teams to ensure seamless integration of data architectures.
- Design and implement data solutions that align with client objectives and industry standards.
- Create and present the solution design through a solution design document and estimate for complexity, effort, and costs.
- Demonstrate technical expertise in modern AI, analytics, big data and associated technologies, cloud platforms, data quality, governance, and architecture.
- Offer strategic advice on leveraging data for operational efficiency and competitive advantage.
- Provide technical guidance as a subject matter resource, and act as a hands on key technical delivery team member across multiple clients and engagements.
- Lead technology consulting engagements, due diligence activities and solution workshops.
- As a senior team member, shape and manage engagement teams as needed.
- Manage client expectations and communicate project progress and milestones.
- Nurture valuable relationships in the industry, with clients and within EY
- Understand EY’s service offerings and actively identify opportunities to better serve clients across our range of services.
To qualify for the role, you must have:
- Bachelor’s degree in Information Technology, Computer Science, Statistics, Mathematics/ Applied Mathematics, Quantitative Economics, Engineering, Finance, Economics, Business Administration, or equivalent professional education.
- Minimum of 10 years of experience with a blue-chip consulting firm, 3+ of which in a data architecture position with client/ market facing responsibilities.
- Prior experience leading data teams in a data leadership role, e.g. data team lead, data project lead, data workstream lead etc.
- Solid experience in Enterprise Data Warehouse integration and reporting developing modern data platform solutions, data governance, architecture frameworks and processes.
- Technical leadership and the ability to work with a wider group of architects, application teams and business teams to define and socialise architectural concepts and approaches.
- Data architecture role(s) in major transformation programmes within the Financial Services sector.
- Knowledge of end-to-end finance data, e.g. source systems, accounting engines, sub-ledgers, data integration layers, analytics and reporting platforms.
- Knowledge of defining principles and guidelines for the design and management of finance data entities, finance data models and attributes across the Finance systems landscape.
- Experience of working with existing finance logical data model from package vendors (e.g. Teradata and IBM) and new cloud technologies such as GCP, AWS and Azure.
- Understanding of the current technology and data challenges and trends in Financial Services industry.
- Excellent communication and presentation skills.
- Demonstrated experience leading teams and leading medium to large data projects end-to-end.
- Technology Consulting experience.
- Client relationship management experience at senior level.
- Excellent communication, leadership, and interpersonal skills.
- Growth and continuous learning mindset