Senior Level Sales Enablement Lead Jobs
Senior level sales enablement lead jobs place experienced professionals in charge of enablement strategy, program ownership, and the cross-functional initiatives that drive revenue team performance. Openings concentrate in Technology & Software, Automotive, and Medical Devices, with a strong mix of remote and hybrid settings, and employers like Illumina, Databricks, and Stellantis hiring at this level now.
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Showing 5 of 6+ Senior Level Sales Enablement Lead 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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Senior Level Sales Enablement Lead Jobs: Frequently Asked Questions
How do I get a senior level sales enablement lead job?
Candidates who land senior level sales enablement lead roles typically demonstrate ownership of full-cycle enablement programs, not just execution of individual training events. Employers at this level want evidence of measurable impact on quota attainment, ramp time, or win rates. Experience aligning enablement strategy to revenue goals, influencing sales leadership, and building scalable content or coaching frameworks gives candidates a clear edge over generalist applicants.
Which companies hire senior level sales enablement leads?
Companies hiring senior level sales enablement leads right now include Illumina, Databricks, and Stellantis, based on current listings on Migrate Mate as of November 2026. Hiring at this level tends to come from growth-stage technology firms, enterprise software companies, and large B2B organizations that maintain dedicated revenue enablement functions.
Are there remote senior level sales enablement lead jobs?
Yes, remote and hybrid availability is strong at the senior level for this role. About 25% of senior level sales enablement lead openings are remote or hybrid as of November 2026, reflecting how enablement work is increasingly distributed across geographies. Senior candidates can often negotiate flexible arrangements, particularly at companies with distributed sales teams.
What makes a sales enablement lead role senior level?
Senior level sales enablement lead roles are defined by strategic ownership rather than program support. Responsibilities typically include setting the enablement roadmap, owning outcomes tied to revenue metrics, leading or mentoring other enablement professionals, and partnering directly with sales leadership and go-to-market teams. The scope extends beyond content creation or onboarding coordination into program design, stakeholder influence, and cross-functional execution.
Which industries hire the most senior level sales enablement leads?
Senior level sales enablement lead roles concentrate in Technology & Software, Automotive, and Medical Devices, based on current listings on Migrate Mate as of November 2026. These sectors tend to drive demand because they operate complex, quota-carrying sales organizations that require structured coaching, formalized onboarding, and ongoing skills development to stay competitive.