Sr Manager - Global Digital Solutions

The Sr Manager Global digital Solutions is a leadership position with expertise in AI/ML, data engineering, and cloud platforms (AWS, Azure, GCP). This leadership role involves overseeing the development and deployment of end-to-end solutions, from architecture design to implementation and operationalization. The ideal candidate will have a strong background in building data pipelines, ingestion systems, and reporting/visualization mechanisms, as well as providing strategic guidance on middleware, microservices, and cloud infrastructure.

Key responsibilities include leading teams on projects, ensuring the delivery of high-quality solutions on time, managing risk, and maintaining a strong focus on security and cost optimization. The role will also involve mentoring team members, establishing best practices, and driving continuous improvement in cloud architecture and AI/ML systems. The candidate will also be responsible for evaluating and selecting appropriate AI/ML models for key tasks such as intent recognition, entity extraction, and sentiment analysis.

He/she will be responsible to guide the development of AI-driven applications, and provide valuable insights to the end user through AI/ML integration.

Additionally, the Cloud Solutions Architect will ensure compliance with Aptiv's cybersecurity standards.

This role requires a strategic mindset, technical leadership, and a deep understanding of both cloud infrastructure and advanced AI/ML capabilities.

Aptiv locations, 220+, include manufacturing, warehouses, tech centers across the globe.

In this role, you will:

• Lead and serve on end to end architect on projects.
• Oversee building of data pipelines, ingestion systems, and reporting/visualization mechanisms across cloud platforms like AWS, Azure, GCP.
• Plan, coordinate, document, analyze, design, review, and implement enhancements.
• Provide expertise, mentorship, process improvements, strategy and standards.
• Provide strategic guidance on middleware, microservices, streaming data, software development (full-stack), cloud standards, and infrastructure practices.
• Monitor cloud architecture and review/develop plans to meet business outcomes, proof of concepts all the way to productionization of solutions with running cost and security as priority.
• Identify and mitigate potential risks and challenges throughout the development lifecycle, ensuring delivery on time and according to scope.
• Support pre-project efforts and assist with delivery time estimates.
• Leverage Al/ML and Gen Al to provide operational insights to the application end user.
• Oversee the end-to-end development of Al/ML projects from concept to deployment.
• Oversee the appropriate algorithms and machine learning models for tasks such as intent recognition, entity extraction, and sentiment analysis.
• Continuously improve the performance and efficiency of the AI system, minimizing response times and resource consumption.
• Ensure compliance to Aptiv cybersecurity requirements and technical standards.

Required Skills, Experience and Qualifications (must have):

• Bachelor's degree in a quantitative or business field (e.g., Statistics, Mathematics, Engineering, Computer Science)
• 15+ years of experience in IT Architecture having modern, Cloud-based technology landscapes.
• Cloud Architect certification

• Strong experience in architecting and designing services for IoT/streaming data and solution platform
• Experience in building Data Management solutions, including ingestion & data engineering, modeling, reporting & visualization across various laaS, PaaS and SaaS technologies.
• Deep expertise in designing and delivering modern data architectures, including high-availability solutions across regions, SQL and No
  
  SQL databases, and ETL processes. Proven ability to implement scalable, efficient, and resilient data pipelines to meet business and operational requirements.
• Deep understanding of cloud computing technologies (Azure, AWS and GCP), applications, and trends with knowledge of cloud infrastructure, software application, and design.
• Ability to design and conduct experiments to test the efficacy of different generative models.
• Experience with IoT data platforms Container technologies & Kubernetes BI tools (Power
  
  BI , Quicksight, Qlik , Grafana)
• Experience designing systems that can handle high volumes of concurrent users and accommodate future growth.
• Experience in Data science, AI/ML
  - Amazon Sage Maker, Amazon Bedrock , Amazon Q or Azure cognitive services including deploying and fine tuning models in cloud.
• Hand on experience on Databricks, Snowflake and other enterprise data warehouse

• S&PS leadership:
  Plant Managers, Regional Operations Directors, PCL and Engineering Leadership
• Divisional Facing ITEs and IT Mfg. and Mfg. Engineering Leads.
• Corporate IT Application Services and IT Operations ITE.
• Architecture Teams.
• Application Owners and Leads.
  
  Business Analytics.
• IT and/or Business Executive steering committee.

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