As part of the Data & Diagnostic insights initiative, we are looking for a Connected Services Analytics & AI Enablement Lead to accelerate the adoption and value creation from connected vehicle data through advanced analytics, AI, and self-service capabilities.

In this role, you will be responsible for transforming connected services & digital product data into actionable insights, enabling business teams and engineering stakeholders to make data-driven decisions. You will lead the development of analytics solutions, define reusable data assets, and promote AI-powered approaches to improve customer understanding, product performance, and operational efficiency.

Your key responsibilities will include:

Analytics & Data Product Enablement

Translate business needs and Connected Services challenges into scalable analytics solutions and data requirements.
Define and develop analytics use cases leveraging connected vehicle data, feature usage data, customer behavior data, and operational data.
Design reusable analytics assets and data products to accelerate insight generation and decision-making.
Ensure data consistency, quality, representativeness, and reliability through appropriate validation processes.
Develop advanced analytics methodologies to uncover customer behaviors, product usage patterns, and feature performance insights.
Build and maintain dashboards and visualization solutions to facilitate insight sharing and self-service analytics adoption.

AI & Intelligent Solution Enablement

Identify and develop opportunities to leverage Artificial Intelligence and Generative AI to enhance analytics capabilities.
Contribute to the design and deployment of AI-powered solutions such as AI assistants, analytics agents, and knowledge retrieval systems.
Define business rules, analytical logic, and data foundations required to enable AI-driven applications.
Prepare, structure, and curate datasets to support AI model development and intelligent workflows.
Collaborate with Data Scientists and AI experts to industrialize machine learning and GenAI use cases.

Platform & Technical Leadership

Design and implement scalable data processing workflows using Python, SQL, Spark, and cloud-based technologies.
Leverage platforms such as Databricks to develop analytics pipelines and data processing solutions.
Ensure best practices in data governance, documentation, monitoring, and lifecycle management.
Promote standardization and reuse of analytics solutions across Connected Services domains.
Support the adoption of self-service analytics tools by providing frameworks, methodologies, and guidance.

Qualifications

Basic Qualifications:

Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field.
Minimum of 8 years of experience in Data Analytics, Data Science, AI enablement, or a similar role.
Ability to translate business challenges into scalable, reusable, data-driven analytics solutions delivering business outcomes
Good understanding of automotive domains, especially Connected Services, vehicle features, customer behavior analytics, or mobility services.
Experience working with large-scale data platforms and distributed processing environments.
Strong proficiency in: Python, SQL, Spark / PySpark, Data visualization tools (Power BI or equivalent)
Hands-on experience with Databricks or similar cloud data platforms.
Experience with AI and Generative AI concepts:

AI agents and intelligent workflows
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
Machine Learning lifecycle concepts

Strong communication and collaboration skills with technical and non-technical stakeholders.

Preferred Qualifications:

Master’s degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field.
Knowledge of data governance, and data quality management best practices.

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