EY - GDS Consulting - AI And DATA -AI Data Platform Architect-Lead - Manager

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.

EY-Consulting - Data and Analytics - AI/Data Platform Engineering Manager - / Manager EY's Consulting Services is a unique, industry-focused business unit that provides a broad range of integrated services that leverage deep industry experience with strong functional and technical capabilities and product knowledge. EY's financial services practice provides integrated Consulting services to financial institutions and other capital markets participants, including commercial banks, retail banks, investment banks, broker-dealers & asset management firms, and insurance firms from leading Fortune 500 Companies. Within EY's Consulting Practice, Data and Analytics team solves big, complex issues and capitalise on opportunities to deliver better working outcomes that help expand and safeguard the businesses, now and in the future. This way we help create a compelling business case for embedding the right analytical practice at the heart of client's decision-making.   Role : AI/Data Platform Engineering Manager Experience Guide : Guide / 10+ years Primary Skill Area : Enterprise Platforms: Databricks, Snowflake, MS Fabric & Autonomous Data Engineering   The opportunity Lead enterprise-scale Data, AI, and Aladdin platform engineering programmes across Databricks, Snowflake, Microsoft Fabric, and cloud ecosystems. The Manager is accountable for solution strategy, delivery leadership, Aladdin integration and onboarding, stakeholder engagement, platform operating model, governance, data quality, security, service integration, Git-based engineering, SRE practices, AI/agentic enablement, and capability growth for modern data platforms.   Your key responsibilities

Lead end-to-end delivery of enterprise data platform and Aladdin integration programs across cloud, big data, governance, analytics, and AI-enabled engineering ecosystems. Drive data discovery, asset alignment, onboarding strategy, and integration planning for Aladdin inbound and outbound services, ensuring alignment with client requirements and BlackRock specifications. Act as the primary liaison between clients, BlackRock, architects, business stakeholders, and engineering teams to conduct requirements workshops, data parity discussions, solution reviews, and delivery governance. Define solution roadmaps, delivery milestones, operating models, and implementation strategies across Aladdin programs, including Early Look, Early Win, and subsequent onboarding phases. Translate business requirements into scalable data engineering, integration, compliance, reporting, and platform solutions leveraging modern architectures including Lakehouse, Data Fabric, Semantic Layer, and AI-ready data platforms. Lead the design and implementation of robust data pipelines, ingestion frameworks, APIs, workflow orchestration, scheduling, metadata-driven processing, and cross-platform integrations supporting Aladdin services. Drive data quality, reconciliation, audit, compliance, and control frameworks to ensure data accuracy, completeness, traceability, regulatory adherence, and successful data parity outcomes. Establish metadata-driven monitoring, observability, lineage, logging, operational reporting, and Data SRE practices to improve platform reliability, transparency, and operational resilience. Oversee platform performance, Spark optimization, dependency management, workload scalability, production readiness, incident management, and root cause analysis for large-scale data processing environments. Define and enforce engineering standards across Git, CI/CD, Infrastructure-as-Code, DevOps, automation,