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 Data Ops, MLOps/LLMOps and Agent Ops capabilities into a cohesive, client-ready narrative.

Your key responsibilities

- Data & AI solution strategy and narrative development Translate client priorities, CDO agenda, data and AI maturity, service issues and evaluation criteria into a clear solution storyline Develop value propositions that connect service design to business outcomes and a practical roadmap from stabilization to intelligent operations Convert complex Data Ops, data governance, analytics, MLOps/LLMOps and Agent Ops constructs into simple executive messaging Ability to translate Data & AI operating landscapes into clear, client-relevant managed services narratives and measurable outcomes
- End-to-end Data & AI Managed Services solution design Solid 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, Fin Ops, 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 Data Ops, 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 Fin Ops considerations
- Relevant architecture, cloud, data, AI, service management ( ITIL) or Fin Ops 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

📌 Data & AI Managed Services Solution Architect, Manager (India)
🏢 EY
📍 India