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Ernst & Young

Global professional services: consulting, assurance, tax

Data Architect Manager - FS Technology Consulting, AI and Data

Data ManagementConfirmed live in the last 24 hours
Full-timeDublin, IrelandNo salary listed

About the Job

Requirements

  • A Bachelor's degree in Information Technology, Computer Science, Statistics, Mathematics or Applied Mathematics, Quantitative Economics, Engineering, Finance, Economics, Business Administration, or equivalent professional education.
  • At least 10 years of experience with a blue-chip consulting firm, including at least 3 years in a data architecture position with client- or market-facing responsibilities.
  • Prior experience leading data teams in a data leadership role, such as data team lead, data project lead, or data workstream lead.
  • 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 architects, application teams, and business teams to define and socialize architectural concepts and approaches.
  • Experience in data architecture roles on major transformation programs within the Financial Services sector.
  • Knowledge of end-to-end finance data, including source systems, accounting engines, sub-ledgers, data integration layers, analytics, and reporting platforms.
  • Knowledge of defining principles and guidelines for designing and managing finance data entities, finance data models, and attributes across the Finance systems landscape.
  • Experience working with existing finance logical data models from package vendors such as Teradata and IBM, and with cloud technologies such as GCP, AWS, and Azure.
  • Understanding of current technology and data challenges and trends in the Financial Services industry.
  • Demonstrated experience leading teams and leading medium- to large-scale data projects end-to-end.
  • Technology Consulting experience.
  • Senior-level client relationship management experience.
  • Excellent communication, presentation, leadership, and interpersonal skills.
  • A growth and continuous learning mindset.

Responsibilities

  • Understand client business needs and translate them into data architecture requirements.
  • Collaborate with clients’ business and IT teams to ensure seamless integration of data architectures.
  • Design and implement data solutions aligned with client objectives and industry standards.
  • Create and present solution designs through solution design documents, and estimate complexity, effort, and costs.
  • Apply technical expertise in modern AI, analytics, big data and associated technologies, cloud platforms, data quality, governance, and architecture.
  • Advise clients strategically on leveraging data for operational efficiency and competitive advantage.
  • Provide technical guidance as a subject matter resource and work hands-on as a key technical delivery team member across multiple clients and engagements.
  • Lead technology consulting engagements, due diligence activities, and solution workshops.
  • Shape and manage engagement teams as needed.
  • Manage client expectations and communicate project progress and milestones.
  • Develop valuable relationships in the industry, with clients, and within EY.
  • Understand EY service offerings and identify opportunities to serve clients across the firm’s services.
  • Help shape and grow the Data and Analytics team and build its market profile in technology-enabled business transformation.
  • Lead the development of data architecture capabilities in the team and develop junior architects and data team members through coaching, mentoring, and career counseling.
  • Stay current on emerging data and AI technologies and industry trends; pursue continuous learning and certification in data architecture.
  • Participate in business development activities, including client presentations and proposals.
  • Lead one of the practice pillars to contribute to the internal team culture.
  • Contribute to the thought leadership agenda by maintaining current perspectives on methodologies, technologies, and emerging trends for publication as points of view or proofs of concept.
  • Write white papers and articles or speak at industry events to contribute to thought leadership.
  • Foster an innovative, supportive, and inclusive team-oriented work environment.

Desired Qualifications

  • A systems integration background or experience.
  • A Financial Services background.
  • Experience developing Finance Data Strategy for large financial institutions and developing future-state architecture.
  • Delivery experience with big data and Apache ecosystem technologies such as Spark, Kafka, and Hive, and experience building end-to-end data pipelines using on-premises or cloud-based data platforms.
  • Hands-on experience with data design and requirements, and with data issues associated with delivering data for finance management and reporting.
  • A relevant technology and project/program management qualification, such as Agile, Prince2, PMP, TOGAF, or ITIL.

About the Company

Ernst & Young

Global professional services: consulting, assurance, tax

EY (Ernst & Young) provides professional services at a global scale, offering consulting, assurance, tax, and transaction advisory services. It serves clients across industries such as technology, media, real estate, hospitality, and construction. Instead of selling a single product, EY works with clients through tailored engagements where cross-disciplinary teams analyze challenges, design strategies, perform audits, help with tax planning, and assist with mergers or divestitures. What sets EY apart is its worldwide reach and integrated service model, industry-specific expertise, and focus on responsible business practices like sustainability, cybersecurity, and workforce flexibility. EY’s goal is to help organizations improve performance, manage risk, and achieve sustainable growth while building a better working world.

Company size
5,001-10,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Boston, MA
Founded
1991

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