Assistant Director, Data & Analytics Platform Leader

EY; Washington (District of Columbia); On-site; USD 124,000 - 233,000; Full time

Job summary

EY in the United States is seeking an Assistant Director – Data Engineering & Analytics Platforms to shape enterprise data, analytics and AI capabilities. You’ll partner with business leaders and engineering teams to establish technical direction and deliver modern data platforms that create measurable value.

You will lead design and delivery of AI solutions using Microsoft Fabric, Azure Databricks and cloud platforms, mentor teams, and advance adoption of generative AI.

Qualifications

• Bachelor’s degree in Computer Science or a related technology discipline.
• 8 to 12 years of progressive professional experience in data engineering, data platforms, analytics engineering or a related technology-delivery field.
• Demonstrated experience providing technical leadership to development teams and guiding architecture and solution-design decisions.
• Hands‑on experience designing, developing or delivering enterprise data and analytics solutions using Azure Databricks or Microsoft Fabric. Experience with at least one of these platforms is required.
• Strong knowledge of data ingestion, transformation, orchestration, integration, modelling, testing, monitoring and production support.
• Experience reviewing technical designs, platform integrations, data pipelines and analytics solutions.
• Experience managing technical risks, dependencies, governance requirements, competing priorities and delivery timelines.
• Experience leading technical workstreams or multidisciplinary teams through requirements, design, development, testing, deployment and production support.
• Experience communicating technical concepts, risks and recommendations to technical and non-technical stakeholders.
• Experience leading or supporting onshore and offshore delivery models, knowledge-transfer activities and operational handoffs.

Responsibilities

• Provide technical leadership for data, analytics and AI platform initiatives from requirements and solution design through deployment and production support.
• Guide architecture and solution-design decisions to ensure solutions meet business, security, scalability, quality and operational requirements.
• Lead technical workstreams and multidisciplinary teams through design, development, testing, deployment and ongoing support.
• Review technical designs, data pipelines, platform integrations and analytics solutions for reliability, scalability, maintainability and performance.
• Manage technical risks, dependencies, competing priorities and delivery timelines while maintaining appropriate governance and quality controls.
• Identify and remove technical and delivery barriers, helping teams resolve complex issues.
• Coach and mentor team members, strengthen technical capabilities and promote knowledge sharing and consistent engineering practices.
• Communicate technical risks, options and recommendations clearly to technical and non-technical stakeholders.
• Lead or support onshore and offshore transitions, including readiness assessments, knowledge transfer, documentation, handoffs and post-transition stabilization.
• Establish clear ownership, communication channels, escalation processes and quality expectations across geographically distributed teams.

Skills

Technical leadership

Data engineering

Azure Databricks

Microsoft Fabric

Cloud platforms

Stakeholder management

Mentoring

Architecture guidance

Education

Bachelor's degree in Computer Science or related tech

Tools

Azure Databricks

Microsoft Fabric

Azure AI Foundry

Job description

EY in the United States is seeking an Assistant Director – Data Engineering & Analytics Platforms to shape enterprise data, analytics and AI capabilities. You’ll partner with business leaders and engineering teams to establish technical direction and deliver modern data platforms that create measurable value.

You will lead design and delivery of AI solutions using Microsoft Fabric, Azure Databricks and cloud platforms, mentor teams, and advance adoption of generative AI.