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.

Your Role

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 GenAl 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.

Your Background

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

Skills and Competencies

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 NoSQL 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 (PowerBI , 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 SageMaker, 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