Senior Level Lead Analytics Engineer Jobs
Senior level lead analytics engineer jobs place experienced professionals in charge of data platform architecture, analytics strategy, and the cross-functional teams that deliver insights at scale. Roles are concentrated across Consulting & Professional Services, Technology & Software, and Insurance, with a mix of on-site, remote, and hybrid settings, and employers like Vizient, Squarespace, and HP hiring at this level now.
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Showing 5 of 16+ Senior Level Lead Analytics Engineer jobs
INTRODUCTION
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.
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.
OUR BENEFITS - DESIGNED WITH YOU IN MIND
Comprehensive Health & Well-being Coverage
From your very first day, you'll have access to medical, dental, vision, and prescription drug coverage - ensuring you and your family stay healthy and protected.
Generous Paid Time Off
We believe in work-life balance. That's why we offer: 17+ paid holidays, including shut-down from December 24th through New Years Day every year. Vacation, float & wellbeing days, sick time and fully paid parental leave when your family needs you most.
Competitive Retirement Savings Plans
We help you plan for the future with:
- An employer match on contributions to your 401k, Roth, and Catch-Up plans
- An employer contribution, even if you don't contribute
Income Protection & Insurance Options
Benefit from included and optional disability, life, and other insurance programs - because your peace of mind matters.
Company Vehicle Lease Program
Eligible employees and their immediate families can enjoy company vehicle lease options with included insurance, maintenance, and unlimited mileage. Plus, take advantage of exclusive discounts on Stellantis products.
Family Building Benefit
We proudly support all paths to parenthood - including fertility and infertility treatments, adoption services, and gestational surrogacy.
Support for Your Growth and Giving Back
We believe in investing in your future and your passions:
- Tuition reimbursement
- Student loan refinancing programs
- 18 paid volunteer hours each year to make a difference in your community
And so much more!
When you join us, you're not just building a career - you're joining a company that supports you, inside and outside of work.
INTRODUCTION
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.
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.
OUR BENEFITS - DESIGNED WITH YOU IN MIND
Comprehensive Health & Well-being Coverage
From your very first day, you'll have access to medical, dental, vision, and prescription drug coverage - ensuring you and your family stay healthy and protected.
Generous Paid Time Off
We believe in work-life balance. That's why we offer: 17+ paid holidays, including shut-down from December 24th through New Years Day every year. Vacation, float & wellbeing days, sick time and fully paid parental leave when your family needs you most.
Competitive Retirement Savings Plans
We help you plan for the future with:
- An employer match on contributions to your 401k, Roth, and Catch-Up plans
- An employer contribution, even if you don't contribute
Income Protection & Insurance Options
Benefit from included and optional disability, life, and other insurance programs - because your peace of mind matters.
Company Vehicle Lease Program
Eligible employees and their immediate families can enjoy company vehicle lease options with included insurance, maintenance, and unlimited mileage. Plus, take advantage of exclusive discounts on Stellantis products.
Family Building Benefit
We proudly support all paths to parenthood - including fertility and infertility treatments, adoption services, and gestational surrogacy.
Support for Your Growth and Giving Back
We believe in investing in your future and your passions:
- Tuition reimbursement
- Student loan refinancing programs
- 18 paid volunteer hours each year to make a difference in your community
And so much more!
When you join us, you're not just building a career - you're joining a company that supports you, inside and outside of work.
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Top Industries Hiring
- Consulting & Professional Services
- Technology & Software
- Insurance
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Senior Level Lead Analytics Engineer Jobs: Frequently Asked Questions
How do I get a senior level lead analytics engineer job?
Employers at this level look for candidates who have owned end-to-end analytics infrastructure, not just contributed to it. Demonstrating that you have set technical direction, mentored junior engineers, and driven measurable business outcomes gives you a clear edge. A portfolio of dbt, Spark, or Airflow work at scale, combined with experience translating ambiguous business problems into data products, is what separates senior candidates from mid-level applicants.
Which companies hire senior level lead analytics engineers?
Companies hiring senior level lead analytics engineers right now include Vizient, Squarespace, and HP, based on current listings on Migrate Mate as of November 2026. Hiring at this level tends to concentrate in organizations with mature data stacks that need experienced engineers to lead platform evolution and mentor growing analytics teams.
Are there remote senior level lead analytics engineer jobs?
Yes, remote and hybrid availability is strong at this experience level. About 44% of senior level lead analytics engineer openings are remote or hybrid as of November 2026, reflecting employer confidence in placing high-ownership technical leads outside a central office. On-site roles do exist, particularly at companies building or rebuilding data infrastructure in a centralized environment.
What makes a lead analytics engineer role senior level?
Senior level lead analytics engineer roles are defined by scope, ownership, and influence rather than task execution. You are expected to set architectural standards, make technology decisions that the team builds around, and mentor engineers at earlier career stages. The problems are more ambiguous, the stakeholders are more senior, and the expectation is that you drive outcomes independently rather than waiting for direction.
Which industries hire the most senior level lead analytics engineers?
Senior Level lead analytics engineer roles concentrate in Consulting & Professional Services, Technology & Software, and Insurance, based on current listings on Migrate Mate as of November 2026. These sectors invest heavily in data infrastructure at scale, creating sustained demand for engineers who can lead platform design, govern data quality, and align analytics work directly to business strategy.