Ernst and Young

Data & AI Managed Services Solution Architect, Manager

Ernst and Young
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18 hours ago
Bengaluru, IndiaStaff+

Responsibilities

  • Develop Data & AI managed services strategies, narratives, value propositions, and client-ready executive messaging.
  • Design end-to-end services across data platform and pipeline operations, data management, insights operations, and AI, ML, and agent operations.
  • Define service scope, catalogs, operating and delivery models, governance, coverage, tooling, interfaces, continuous improvement, optimization approaches, and SLAs.
  • Participate in pursuits through proposals, solution documentation, executive presentations, oral presentations, discovery workshops, solution walkthroughs, and client discussions.
  • Coordinate with Sales, account leadership, Delivery, Pricing, Data and AI leaders, platform specialists, and alliance teams.
  • Support transition, stabilization, and production readiness planning aligned with client readiness, platform release cycles, data availability, and regulatory obligations.
  • Translate solution design into volumes, complexity drivers, staffing, locations, transition effort, productivity, automation assumptions, and commercial inputs.
  • Identify assumptions, exclusions, risks, contingencies, and dependencies affecting commercial viability.

Requirements

  • 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, and Microsoft Azure.
  • Experience with reusable assets or automation for monitoring, data quality, triage, remediation, deployment, operational productivity, observability, or self-healing.
  • Familiarity with managed services pricing, cloud and platform cost drivers, and FinOps considerations.
  • Strong understanding of managed services lifecycles, transition design principles, and methodology.
  • Relevant architecture, cloud, data, AI, service management, such as ITIL, or FinOps certifications.
  • Strong collaboration, client engagement, solution communication, and cross-disciplinary pursuit skills.

Benefits

  • Continuous learning and development opportunities.
  • Tools and flexibility to make a meaningful impact.
  • Leadership insights, coaching, and confidence-building support.
  • Diverse and inclusive culture.
  • Global delivery environment spanning Argentina, China, India, the Philippines, Poland, and the UK.

Tech Stack

AzureDatabricksSnowflake

Categories

Solutions Engineering
Ernst and Young

About Ernst and Young

10,000+ employees

Ernst & Young (EY) provides audit/assurance, tax, consulting, strategy and transactions services to enterprises, financial institutions, and public‑sector clients. Structured as a global network of partner‑owned member firms, it sells professional services on a fee basis, including a dedicated Financial Services Organization for banking, insurance, and capital markets. Headquartered in London, EY was formed in 1989 from the merger of Ernst & Whinney and Arthur Young, and operates in 150+ countries.

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