Overview
Join to apply for the Data Analytics & AI - Manager - Data Solution Architect role at EY.
Location: Ireland - Dublin / Cork / Limerick / Galway. Available for Work Visa Sponsorship: Yes. Business Area: Consulting. Contract Type: Full-Time – Permanent.
EY exists to build a better working world. This role can be located in our offices across the Republic of Ireland, working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
The Team and the Opportunity
As part of our Data Analytics and AI team, the Data Solution Architect role is pivotal in enabling our clients to derive significant value from their information assets. Through collaboration and domain expertise, our team embeds innovative data analytics solutions into existing business areas, transforming data into strategic assets. We are looking for a Data Architect who is passionate about leveraging data to solve complex problems and drive business outcomes.
You will play a key role in driving growth by developing new and existing client relationships and delivering first-class customer experience on high-profile engagements. The Data Analytics and AI team serve as trusted advisors, both practical and innovative, to embed innovative data analytics solutions into existing business areas and transforming data into strategic assets.
Working across all industries, you’ll develop your career by communicating creative, strategic goals both internally and externally. As a manager, the opportunity to assess and improve our clients’ reporting policies and corporate governance processes will impact these ever-challenging areas during transformational and regulatory changes.
Your Key Responsibilities
Leading diverse teams with varying skillsets, who use different Data and Analytics technologies.
Adapting your leadership style to fit team, client, and cultural needs, anticipate and identify risks and escalate issues as appropriate.
Provide coaching and guidance to junior team members, sharing best practices, industry trends and technical knowledge to foster professional growth.
Lead the design and implementation of data artefacts, including data modelling, data integration, data storage, and data governance based on industry best practices and client-specific requirements.
Hands-on experience on data modelling techniques to create Enterprise Data Models.
Implement data management concepts (Metadata Management, Data Quality, Data Testing).
Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders, to translate business requirements into technical specifications and architectural designs.
Assess existing data architectures, identify areas of improvement, and recommend remediation plans to optimise data management processes and systems.
Develop data migration strategies and oversee execution of data migration activities, ensuring data integrity and minimal disruption to client operations.
Act as a trusted advisor to clients, offering expert insights on data architecture, governance, quality and security matters.
Stay current with emerging technologies, trends, and industry standards in data architecture and management, and provide thought leadership to drive innovation.
To qualify for the role, you must have
Minimum of 5 years of experience in data analysis and strategy, with a proven track record of creating impactful visual stories from complex datasets.
Bachelor’s or Master’s degree in computer science, Information Systems, or a related field.
Proven expertise in data modelling and database designs like ER models, Dimensional models, Data Vaults and Hierarchical/ Network data models.
Extensive experience in developing code for both SQL and NoSQL databases, with proficiency across various database platforms both on-prem and in cloud.
Extensive knowledge of data integration techniques, ETL processes, and data warehouse design.
Familiarity with big data technologies such as Hadoop, Spark, or cloud-based data services (e.g., AWS, Azure, Google Cloud).
Understanding of data quality principles and practices, including data profiling, cleansing, and validation techniques.
Ability to create comprehensive documentation for data models, processes, and governance frameworks.
Proven experience in modelling and handling real-time data streams using technologies such as Apache Kafka or similar tools.
Experience in designing and implementing data governance frameworks and practices.
Strong analytical and problem-solving skills, with the ability to design innovative data solutions.
Excellent client-facing skills and ability to manage relationships with clients at various levels of the organization.
Strong leadership abilities to lead and mentor a team of consultants.
Ideally, you will also have
Ability to stay current with industry trends and apply best practices to data strategy and operations.
Strong consulting experience with the ability to provide strategic advice and practical solutions.
Familiarity with a wide range of database technologies, including relational, NoSQL, and cloud-based platforms.
What Working At EY Offers
We offer a competitive remuneration package. Our comprehensive Total Rewards includes flexible working options and career development opportunities. EY also offers a range of benefits you can tailor to suit your needs.
Support and coaching from engaging colleagues
Opportunities to develop new skills and progress your career
Hybrid working options and flexible working arrangements
About EY
As a global leader in assurance, tax, transaction and advisory services, EY helps clients build a better working world through training, opportunities and creative freedom. The EY experience lasts a lifetime.
Inclusion & Diversity
We foster an environment where all differences are valued and respected. We are an equal opportunities employer and offer reasonable accommodations at every stage of the recruitment process.
Important
If you can demonstrate that you meet the criteria above, please apply. Agency guidance: Our Talent Team will engage directly with suppliers. CVs/profiles should not be shared directly with Hiring Managers. Unsolicited CVs/profiles will not be accepted for this role.
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