Data Analytics & AI - AI Platform Architect - Senior Manager
Dublin 2, IE
EY
EY provides consulting, assurance, tax and transaction services that help solve our client’s toughest challenges and build a better working world for all.Data Analytics & AI – AI Platform Architect – Senior Manager
General Information
Location: Ireland - Dublin / Cork / Limerick / Galway
Available for Work Visa Sponsorship: Yes
Business Area: EY Data, Analytics & AI Ireland
Contract Type: Full-Time – Permanent
EY exists to build a better working world, we empower our people by offering the culture, tech, teams, scale,
challenges, learning, and the relationships for you to personalise and build your career, helping to create longterm value for clients, people and society and build trust in the capital markets.
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 AI Platform 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 AI Platform Architect specialist 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 senior 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, Analytics and AI technologies.
• As an influential member of the team, you’ll create a positive learning culture and will coach and
counsel junior members of the team sharing best practices, industry trends and technical knowledge
to foster professional growth and development.
• Engage with clients to understand their business requirements, data needs, and technical objectives,
and develop data architecture strategies that align with their goals.
• 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.
• Implementing 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.
• Conduct assessment of existing data architectures, identify areas of improvement, and recommend
remediation plans to optimise data management process and systems.
• Develop data migration strategies and oversee the execution of data migration activities, ensuring
data integrity and minimal disruption to client operations.
• Act as a trusted advisor to clients, offering expert insights and recommendations on data architecture,
data governance, data quality and data security matters.
To qualify for the role, you must have.
• Strong academic record including a Bachelor’s or Master’s degree in Computer Science, Information
Systems, or a related field.
• Proven experience, 7+ years as a Data Architect, Data Solutions Architect, or similar role in a
consulting environment.
• Strong expertise in data modelling, database design, and SQL, with experience in multiple database
platforms.
• Extensive knowledge of data integration techniques, ETL/ELT processes, and data warehouse design.
• Experience with;
→ Platforms like Amazon Redshift/Google BigQuery/ Snowflake/ Microsoft Azure Synapse
→ Designing and implementing data governance frameworks and practices.
→ Continuous integration and continuous deployment (CI/CD) pipelines for data platforms.
• Ability to align AI strategies with business goals and communicate technical concepts to stakeholders.
• Proficiency in managing AI projects using agile methodologies and project management frameworks.
• Proficiency in designing and managing APIs for data access and integration.
• Strong analytical and problem-solving skills, with the ability to understand complex business
requirements and design innovative data solutions.
• Excellent client-facing skills, with the ability to build rapport, communicate effectively, and manage
relationships with clients at various levels of the organization.
• Strong leadership abilities, with the capacity to lead and mentor a team of consultants and drive
successful project outcomes.
Ideally, you will also have
• Familiarity with machine learning frameworks and libraries (TensorFlow, PyTorch, scikit-learn).
• Understanding of AI system security, data privacy, and regulatory compliance
• Excellent client-facing skills, with the ability to build rapport, communicate effectively, and manage
relationships with clients at various levels of the organization.
• Strong leadership abilities, with the capacity to lead and mentor a team of consultants and drive
successful project outcomes.
• Work closely with our other teams to ensure that our AI platform is optimized for performance,
scalability, and reliability.
What we look for
• Project management skills: The ability to lead projects and work collaboratively with cross-functional
teams.
• Continuous Learning: Commitment to staying informed about the latest industry trends, tools, and
techniques in AI Platform Architecture, with a passion for educating and mentoring others.
• Collaboration: The ability to work closely with cross-functional teams to develop our AI platform,
ensure it is integrated with our other systems and technologies and deploy advanced machine
learning models, ensuring alignment with business objectives and seamless integration into client
operations.
• Communication: The skill to effectively communicate complex analytical findings and model results to
stakeholders, translating data-driven insights into business language that informs decision-making.
What working at EY offers
We offer a competitive remuneration package. Our comprehensive Total Rewards package includes support
for flexible working and career development, and with FlexEY you can select benefits that suit your needs,
covering holidays, health and well-being, insurance, savings, and a wide range of discounts, offers and
promotions. Plus, we offer:
• Support and coaching from some of the most engaging colleagues around
• Opportunities to develop new skills and progress your career.
• The freedom and flexibility to handle your role in a way that’s right for you.
All our employees are given a benefits package which they can tailor to suit their individual preferences. Our
range of benefits include:
• Pension
• Maternity & Paternity leave
• Discounted health insurance
• Bike to work Scheme
• Web Doctor - Free unlimited online GP consultations for
you and your family
• Recognition Awards
• The purchase of additional annual leave • Cash incentives for referrals
• Hybrid Working
• Work Mobile
• Free Gym membership
• TECH MBA paid by EY
• Travel Pass
• Wellness rooms Available in some offices
EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements.
We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst
allowing you to build your career without sacrificing your personal priorities. While our client-facing
professionals can be required to travel regularly, and at times be based at client sites, our flexible working
arrangements can help you to achieve a lifestyle balance.
Career Progression
• When you join EY, you will be supported to ensure that you are enhancing your skills from day one.
• Continuous learning, where you can develop the mindset and skills to navigate whatever comes next.
• As you grow and develop here, you’ll discover opportunities to help customise your career journey, so
that it’s as unique as you are - success is defined by you, we will provide the tools and flexibility, so
you can make a meaningful impact, your way.
• Transformative leadership, we will give you the insights, coaching and confidence to be the leader the
world needs.
• Diverse and inclusive culture, you will be embraced for who you are and empowered to use your
voice to help others find theirs.
• We have embraced Hybrid working at EY adding greater flexibility and autonomy to the roles of our
employees.
About EY
As a global leader in assurance, tax, transaction, and advisory services, we’re using the finance products,
expertise, and systems we’ve developed to build a better working world. That starts with a culture that
believes in giving you the training, opportunities, and creative freedom to make things better. Whenever you
join, however long you stay, the exceptional EY experience lasts a lifetime.
Inclusion & Diversity
We hold a collective commitment to foster an environment where all differences are valued and respected,
practices are equitable and everyone experiences a sense of belonging: Inclusion, diversity, and equity are part
of who we are at EY. We believe that the highest-performing teams maximize the power of different
perspectives and backgrounds. These teams are both diverse and inclusive and are willing to invite and learn
from other perspectives. Our ability to include various viewpoints into our mindsets, behaviours and
operations is fundamental to driving innovation, building strong relationships, and delivering the best solutions
for our clients.
We recognise the strength that comes from having a diverse workforce and building a culture where we
support all our people to achieve their potential. You’ll be embraced for who you are and empowered to use
your voice to help others find theirs.
As an equal opportunities’ employer, we welcome applications from people of all backgrounds. Reasonable
accommodations are offered at every stage of our recruitment process.
If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
Join us in building a better working world. That’s Why, EY.
Apply now.
IMPORTANT: Where Agency assistance is required, our Talent Team will engage directly with suppliers. CVs /
Profiles should not be shared directly with Hiring Managers. Unsolicited CVs / Profiles supplied to EY by
Recruitment Agencies will not be accepted for this role
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile APIs Architecture Azure BigQuery CI/CD Computer Science Consulting CX Data Analytics Data governance Data management Data quality Data warehouse ELT ETL Finance Machine Learning ML models Pipelines Privacy PyTorch Redshift Scikit-learn Security Snowflake SQL TensorFlow Testing
Perks/benefits: Career development Competitive pay Equity / stock options Fitness / gym Flex hours Health care Parental leave Team events
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