Senior Data & Analytics Platform Lead (AI)

EY; Stamford (CT); Sur place; USD 124 000 - 233 000; Plein temps

Avantages offerts par ce poste

Medical and dental coverage

Pension and 401(k)

Flexible vacation policy

Résumé du poste

EY is seeking an Assistant Director – Data Engineering & Analytics Platforms to shape enterprise data and AI capabilities. You will partner with business leaders to establish technical direction, deliver modern data platforms and develop AI solutions that create measurable business value.

You’ll lead design and delivery of data/AI solutions using Microsoft Fabric, Azure Databricks and cloud platforms, guiding architecture decisions, mentoring teams and ensuring secure, scalable, high-performing

Qualifications

• Bachelor’s degree in Computer Science or a related technology discipline.
• 8–12 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.
• 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.

Responsabilités

• Provide technical leadership for enterprise 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.

Connaissances

Technical leadership

Stakeholder management

Problem solving

Communication

Mentoring

Formation

Bachelor’s degree in Computer Science or related technology

Outils

Azure Databricks

Microsoft Fabric

Databricks Genie

Azure AI Foundry

Description du poste

EY is seeking an Assistant Director – Data Engineering & Analytics Platforms to shape enterprise data and AI capabilities. You will partner with business leaders to establish technical direction, deliver modern data platforms and develop AI solutions that create measurable business value.

You’ll lead design and delivery of data/AI solutions using Microsoft Fabric, Azure Databricks and cloud platforms, guiding architecture decisions, mentoring teams and ensuring secure, scalable, high-performing