EY Global Assurance Managed Services Data Architecture & Science Lead 

United Kingdom, England, London 

645016389

The key responsibilities across all roles are:

• ensure client, EY and third-party requirements are fully elaborated, captured and considered throughout the solutions development lifecycle;
• ensure regulatory and legal compliance requirements are fully considered when developing and maintaining standard architectures, and when assessing requestes for solutions and deals to deviate from standard architectures and design patterns;
• provide direction, advice and support to organizational change, process and controls change managemnent, and technology devleopment teams during the design and build of solutions and services;
• liaise with IT security, data security, quality and risk management, Independence and other stakeholders to ensure architectures, designs and operational services meet broader EY requirements and standards;
• contribute to the design and development of our cross-cutting managed services portal and platform;
• carry out horizon scanning to identify emerging technology and industry trends and assesss their potential impact and opportunity for Assurance managed services;
• ensure all solution and deal architectures meet our architecture policies and standards;
• ensure solution and deal architectures are subject to robust cost and effort estimation, covering design, development, transition, operation, maintenance and deal exit costs; and
• monitor and manage the quality and currency of content in our global architecture repositories.

Data Architecture and Data Science Lead:

• own and maintain the Assurance managed services data architecture and data science standards;
• lead data, data engineering and data science architecture across Assurance managed services, ensuring solution projects and operations align to our standards and make full use of the data capabilities of our MS platform;
• drive adoption of data science (including AI/ML) across Assurance managed services solutions, both to create client value and improve operational performance;
• ensure the Assurance managed services team has a sound understanding of the data security, privacy and freedom of information requirements our solutions and operations must meet; and
• ensure appropriate training in data architecture, data engineering and data science training is provided to the Assurance managed services team.

To qualify for the role you must have …

• Minimum of a Masters-level qualification in Computer Science, Data Science or Data Engineering
• Minimum of five years’ experience of leading the design, build and operation of data pipelines, data warehouses/lakes and AI/ML/mathematical/statistcal models at scale in a large international organization
• In-depth knowledge of CRISP-DM or other standards for developing predictive/AI/ML models

Ideally, you’ll also have …

• Knowledge of DataOps and similar approaches to operating data science services
• Experience of implementing ITIL, ITSM ir other comparable standards for IT operations and support

What we look for in all architects

• Clear communication skills, with the ability to engage effectively on specialist architecture with architecture professionals, Assurance SMRs, senior EY leaders and senior client stakeholders
• Ability to lead and manage multi-disciplinary teams to analyze and solve business problems by bringing together members of our team with domain experts, alliance partners and leveraging EY’s vast and diverse network of professionals
• Ability to set standards for, use and drive the effective adoption of enterprise, data, technology and process architecture tools

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.

• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.

• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.

• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.