At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

Data & AI Managed Services Solution Architect, Manager - GMx Solutioning, Global Managed Services

Managed Services Solution Architect, Manager - Global Managed Services

At EY GDS- a member of the global integrated service delivery centre network by EY, Managed Services (MS) is a significant part of our business, comprising more than $7b in revenue with major clients across the globe. We help clients with people based, asset based & integrated solutions, leveraging our deep sector and domain expertise to deliver enhanced value to our clients. In MS we are also ambitious, seeking to more than double our success in the future.

The opportunity

Global Managed Services at EY is entering a phase of accelerated growth, with increasing demand for managed services that make enterprise data platforms resilient, trusted and cost-efficient while enabling AI, ML and agent-based solutions to operate reliably at scale.

As a Data & AI Managed Services Solution Architect, you will shape and articulate differentiated managed services across data platforms and pipelines, data management, analytics and insights, and AI, ML and agent operations. Beyond designing the solution, you will ensure it is clearly understood, commercially compelling, operationally credible and aligned to responsible AI and data governance requirements.

You will work across global pursuit teams, collaborating with Sales, Delivery, Pricing, Data and AI leaders, platform specialists and alliance teams to convert complex DataOps, MLOps/LLMOps and Agent Ops capabilities into a cohesive, client-ready narrative.

Your key responsibilities

Data & AI solution strategy and narrative development
End-to-end Data & AI Managed Services solution design
- Strong understanding of the managed services lifecycle from pursuit and transition through stabilization, steady state and continuous improvement
- Design integrated services across Data Platform & Pipeline Operations, Data Management Operations, Insights Operations, and AI, ML & Agent Operations
- Ensure platform availability, pipeline resilience, observability, performance, capacity, FinOps, data quality, metadata, lineage
- Define scope, service catalogue, operating and delivery models, governance, coverage, tooling, interfaces and continuous improvement approach, optimization approach, SLAs
- Strong collaboration skills across global, multi-disciplinary pursuits and comfort operating in multi-owner environments
Articulation and client engagement
- Actively participate in pursuits, contributing to proposals, solution documentation, executive presentations and orals
- Structure the solution around client context, design intent, service operating model, transition and stabilization, service maturity and value realization
- Lead or support discovery workshops, solution walkthroughs and client discussions across DataOps, Insights Ops, MLOps/LLMOps and Agent Ops
- Partner with Sales, account leadership and Data & AI specialists to keep the client narrative, solution design and commercials aligned
Transition, stabilization and production readiness
- Work with transition architect to ensure transition plans are practical, sequenced and aligned to data availability, client readiness, platform release cycles and regulatory obligations
- Strong understand of transition design principles and methodology
Estimation and commercial input
- Translate service design into volumes, complexity drivers, coverage, role mix, staffing, location model, transition effort, productivity and automation assumptions
- Experience linking solution scope to demand drivers, staffing, locations, productivity, tooling and commercials
- Work with Pricing to align commercials with service tiers, retained responsibilities, tooling, cloud consumption, alliance dependencies and outcomes
- Highlight assumptions, exclusions, risks, contingencies and dependencies affecting commercial viability

10+ years of experience across Data & AI, technology managed services, data platform operations, analytics application management, AI operations or adjacent production services

Experience with major data and AI ecosystems such as Databricks, Snowflake, Microsoft Azure

Experience with reusable assets or automation for monitoring, data quality, triage, remediation, deployment and operational productivity, observability, self-healing
Familiarity with managed services pricing and cloud/platform cost drivers, including FinOps considerations
Relevant architecture, cloud, data, AI, service management (e.g. ITIL)or FinOps certifications

What we offer

EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations - Argentina, China, India, the Philippines, Poland and the UK - and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We'll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career.

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 you may aspire to become.
Diverse and inclusive culture:You'll be embraced for who you are and empowered to use your voice to help others find theirs.

EY | Building a better working world

EY exists to build a better working world, helping to 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.