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Data Analytics & AI - AI Platform Architect - Manager

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EY

Aug 2

Applications are closed

  • Job
    Full-time
    Entry Level
  • Cork

Requirements

  • Strong academic record including a Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
  • Proven experience, 5+ 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.
  • 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.
  • 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.

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.

FAQs

What is the location of the Data Analytics & AI - AI Platform Architect - Manager position?

The position can be located in our offices across the Republic of Ireland, including Dublin, Cork, Limerick, and Galway.

Is work visa sponsorship available for this role?

Yes, work visa sponsorship is available.

What is the contract type for this job?

The contract type is full-time and permanent.

What kind of projects will I be working on as a Manager in this role?

You will be leading diverse teams on data analytics and AI projects, collaborating with clients to develop data architecture strategies and implement innovative data solutions across various industries.

What qualifications are required for this position?

A strong academic record including a Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field is required, along with 5+ years of relevant experience.

What technical skills are emphasized for this role?

Strong expertise in data modelling, database design, SQL, data integration techniques, and familiarity with platforms like Amazon Redshift, Google BigQuery, and Microsoft Azure Synapse is emphasized.

Are there opportunities for professional development in this role?

Yes, the role offers opportunities to develop new skills and progress your career, supported by resources for continuous learning.

What leadership responsibilities will I have?

You will be responsible for creating a positive learning culture, coaching junior team members, and driving successful project outcomes.

How does EY promote work-life balance?

EY promotes work-life balance through flexible working arrangements, allowing employees to manage their personal priorities while delivering excellent client service.

What types of benefits are offered?

Employee benefits include pension plans, maternity and paternity leave, discounted health insurance, a bike-to-work scheme, free online GP consultations, hybrid working options, and more.

How does EY approach inclusion and diversity?

EY is committed to fostering an environment where differences are valued, practices are equitable, and everyone experiences a sense of belonging, emphasizing the importance of diverse and inclusive teams.

How can I apply for this position?

You can apply for this position by submitting your application through EY's careers website or contact their Talent Team for further assistance.

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Mission & Purpose

EY exists to build a better working world, helping create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. 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. Find out more about the EY global network http://ey.com/en_gl/legal-statement

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