Global Assurance Managed Services Architect

EY already has a $4 Billion managed services business. Assurance managed services is a small but rapidly growing part of this, encompassing our controllership, FP&A, treasury, ESG, intelligent data discovery and digital compliance solutions. Our ambition is achieve 10x growth in Assurance managed services by 2028 through our investment in modular, digital and audit-ready services available in both EY-hosted and EY-client hybrid configurations. To drive this growth, we are expanding our multi-disciplinary Solutions team to increase the breadth and depth of our technology, data, process and controls, and business transformation expertise. 

The opportunity

The Solutions team leads our investment to create and enhance our managed services. The team is made up of data specialists (data architects, data engineers, data scientists), technology architects, process and controls architects, business transformation specialists and client-facing deal architects. We help to define the global vision for Assurance Managed Services and set the standards to which our managed services are developed. We build our managed services platform and provide direction to managed services projects on aligning to our architecture standards and maximizing process and technology reuse through our platform. With clients increasingly seeking to digitize their operations, we work closely with our technology alliance partners and broader ecosystem to identify and leverage the latest technology applications, as well as leveraging predictive analytics, AI and machine learning to optimize our services and provide deep client insights into their own business operations. 

We are looking to expand the Solutions team to grow a balanced pool of expertise to enable the creation of new managed services, as well as to increase the coverage of our existing solutions across our eight priority industry sectors and EY’s 120 operating countries. We are recruiting for domain leadership roles in data, technology and service architecture, as well as more broadly-skilled deal and solution architecture roles. All roles have the generate responsibilities listed below. In addition, domain leaders have specific duties.

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.

In addition, domain specialists will be expected to do the following:

• 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. 

• Technology Architecture Lead:  
  • own and maintain the Assurance managed services technology architecture and standards;
  • provide clear direction and support for technology development teams throughout the development lifecycle to ensure technology meets business requirements and aligns with our architectural standards; 
  • ensure the Assurance managed services team has a sound understanding of the IT security standards and requirements our solutions and operations must meet; and
  • ensure appropriate technology training is provided to the Assurance managed services team. 

• Service Architecture Lead:  
  • own and maintain the Assurance managed services business, process and controls architecture and standards;
  • ensure Assurance managed services solutions are designed and implemented in a modular way to provide flexibility in how we bundle and integrate servivces to meet different client needs;
  • define the Assurance managed services approach to audit readiness and compliance with process and controls standards such as SOC1 and SOC2, and support projects in meeting these standards;
  • provide clear direction and support for delivery technology development teams throughout the development lifecycle to ensure processes, technology, job designs and delivery organization structures meets business requirements and aligns with standards; 
  • ensure appropriate process and controls training is provided to the Assurance managed services team. 

To qualify for the role you must have 

• Data Architecture and Data Science Lead
  • 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
    • Ideally, you’ll also have 
      • In-depth knowledge of CRISP-DM or other standards for developing predictive/AI/ML models    Knowledge of DataOps and similar approaches to operating data science services

• Technology Architecture Lead
  • Minimum of a Bachelors-level qualification in Computer Science or Information Technology
  • Minimum of ten years’ experience of agile, iterative and conventional development methodologies and how to apply them to platform, transaction, transactional application and analytical systems development
    • Ideally, you’ll also have 
      • Experience of implementing ITIL, ITSM ir other comparable standards for IT operations and support

• Service Architecture Lead
  • Minimum of a Bachelors-level qualification in Management, Finance or Accounting
  • Minimum of ten years’ experience in managing the end-to-end architecture for managed services and/or outsourced solutions

• Deal and Service Architects
  • Minimum of a Bachelors-level qualification in Management, Finance, Accounting, Computer Science, Information Technology, Data Science or Data Engineering
  • Minimum of five years’ of deal architecture experience on $5M+ deals for technology, finance and accounting, data analytics or similar services

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.