Senior Manager Data Architecture and AI

Senior Manager Data Architecture and AI

Aptiv

Dublin, Ireland

This is a senior manager–level, hands-on technical leadership role responsible for architecting, delivering, and operating Aptiv’s enterprise analytics and AI capabilities.

The role combines deep technical expertise with people leadership, owning large-scale analytics platforms, advanced data architecture, and enterprise agentic AI enablement using Microsoft Copilot Studio and Microsoft Foundry.

Your Role:

• Work collaboratively with all levels of business and technology stakeholders to architect, implement and test Bigdata-based analytical solutions from disparate sources;
• Create and oversee best practices around ingestion, transformation, data modelling & visualization to ensure high data quality and reduced redundancy;
• Establish, maintain, and adhere to Enterprise Data Standards & Policies;
• Own the enterprise analytics and AI ecosystem, including platforms, tooling, integrations, and cloud services;
• Develop best practices for standard naming conventions and coding;
• Lead a team of data architects and analysts;
• Responsible for technical design quality, delivery outcomes, platform reliability, and the continuous evolution of the analytics and AI ecosystem;
• Connect with the functional and technical leads when prioritizing the technology initiatives to support analytics;
• Work with leadership and stakeholders to define the overall vision, mission, and strategy for business data models that scales up for the enterprise;
• Mentor & guide technical project teams based globally on Google data platform components;
• Line management of technical teams to delivery and maintain analytics and AI solutions;
• Continuous improvement, enrichment and governance as part of DataOps operating model;
• Ensure high engineering standards, solution quality, and technical integrity across all analytics and AI initiatives;
• Balance innovation with operational stability through a mature DataOps operating model;
• Establish operational standards for monitoring, performance optimisation, incident management, and cost control.

Your Background:

• Bachelor of Science degree and/or master’s in software engineering/Computer Science or an equivalent discipline;
• 8 + yrs. of experience using various development methodologies to deliver robust IaaS, SaaS and PaaS-based analytics solutions;
• Proven expertise on Google Cloud Platform: BigQuery, Dataproc, Dataplex, Looker, Cloud data fusion, Data Catalog, Dataflow, Cloud composer, Analytics Hub, Pub/Sub, Dataprep, Cloud Bigtable, Cloud SQL, Cloud IAM, Google Kubernetes engine, AutoML;
• Exposure to AWS, Azure, Hadoop platforms;
• Object Oriented Programing skills using Java, Python, and .Net;
• ETL/ELT Framework design and implementation;
• Demonstrated experience with technical troubleshooting, log analysis and performance optimization;
• Microsoft Copilot Studio – design, configuration, and delivery of enterprise AI agents;
• Microsoft Foundry – AI lifecycle management, governance, and operationalisation;
• Azure Data & Analytics services (e.g., Azure Synapse, Microsoft Fabric, Azure Data Factory, Azure SQL);
• Microsoft Entra ID – identity, access management, and security integration;
• Understanding of Responsible AI, security, and compliance within Microsoft platforms.

Nice to Have:

• Knowledge of trends, new concepts, industry standards and new technologies in Data and Analytics space;
• Experience with Informatica, Alteryx, Qlik and Tableau platform maintenance;
• Microsoft Certified: Azure Solutions Architect Expert/Azure Data Engineer Associate/Microsoft Certified: Power Platform or Copilot-related certifications.