Senior Manager Data Architecture and AI

Overview

IT Data Analytics and AI is a diverse DataOps team of technology enthusiasts enabling our global business. Our team is charged with catalyzing value creation in the most critical areas of Aptiv's value chain, touching our business by understanding customer demand, manufacturing implications, and our supply base. This senior manager level, hands on technical leadership role is 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.

Responsibilities

• 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 and visualization to ensure high data quality and reduced redundancy.
• Establish, maintain, and adhere to Enterprise Data Standards and 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 and be responsible for technical design quality, delivery outcomes, platform reliability, and the continuous evolution of the analytics and AI ecosystem.
• Connect with functional and technical leads when prioritising the technology initiatives to support analytics.
• Work with leadership and stakeholders to define the overall vision, mission, and strategy for business data models that scale up for the enterprise.
• Mentor and guide technical project teams based globally on Google data platform components.
• Line manage technical teams to deliver and maintain analytics and AI solutions.
• Continuously improve, enrich and govern as part of the 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.

Qualifications

• Bachelor of Science degree and/or master's in software engineering, Computer Science, or an equivalent discipline.
• 8+ years 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 programming skills using Java, Python, and .Net.
• ETL/ELT framework design and implementation.
• Demonstrated experience with technical troubleshooting, log analysis and performance optimisation.
• 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 the Data and Analytics space.
• Experience with Informatica, Alteryx, Qlik and Tableau platform maintenance.
• Microsoft Certifications: Azure Solutions Architect Expert, Azure Data Engineer Associate, Microsoft Certified Power Platform or Copilot related certifications.

Benefits

• Personal holidays.
• Health care.
• Pension.
• Taxsaver scheme.
• Free onsite breakfast and lunch.
• Discounted corporate gym membership.
• Multicultural environment - learning and professional growth in a world recognised international environment.
• Access to internal and external training, coaching and certifications.
• Recognition for innovation and excellence.
• Access to transportation - Grand Canal Dock is well connected to public transportation, including DART trains, buses, and bike sharing services.

Aptiv is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability status, protected veteran status or any other characteristic protected by law.