Data Analytics & AI - AI Platform Architect - Senior Manager

at  EY

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.