Edtech.com's Summary

Cornerstone is hiring a Principal BI Engineer to lead advanced analytics and AI/ML integration across Sales, Marketing, Customer Success, and Product functions. The role involves developing predictive models, designing scalable dashboards and analytics pipelines using tools like Python, Snowflake Cortex, AWS SageMaker, SQL, and Tableau, and driving enterprise-wide AI-powered decision making.

Highlights

Lead data evangelism across multiple business domains including Sales, Marketing, Revenue Operations, and Customer Success.
Design and build advanced dashboards and analytics pipelines that leverage AI and machine learning.
Develop predictive models such as churn prediction, lead scoring, and sentiment analysis using Python, R, and AI/ML frameworks.
Utilize Snowflake Cortex and AWS SageMaker for scalable machine learning model development and deployment.
Collaborate with data science and engineering teams on AI/ML experimentation, feature engineering, and model evaluation.
Write efficient SQL and build data marts in Snowflake to support analytics and machine learning use cases.
Mentor junior team members ensuring quality, scalability, and performance of solutions.
Strong expertise required in SQL, Tableau, Python and/or R, Snowflake, Snowflake Cortex, AWS SageMaker, and ML Ops pipelines.
Minimum 10 years in data analysis and visualization, 5+ years in advanced analytics/data science, and 2+ years with Snowflake and ML services.
Base salary range: $116,300 to $186,100 USD, with additional bonuses and benefits as part of a comprehensive compensation package.

Principal BI Engineer Full Description

Principal BI Engineer

Dublin, CA, United States

We're looking for a

Principal BI Engineer

This role is Office Based, Dublin, CA Office

We are seeking a Principal BI & Advanced Analytics Engineer to help us unlock the next frontier of insight-driven decision making. The ideal candidate combines a passion for solving business problems with data, a deep understanding of Sales, Marketing, Customer Success, and Product domains, and hands-on expertise in modern BI and AI/ML technologies.

This role goes beyond traditional BI—it includes developing predictive models, uncovering insights with machine learning, and driving adoption of AI-powered decision making. You’ll use tools like Python, Snowflake Cortex, and AWS SageMaker, alongside SQL, Snowflake, and Tableau, to deliver scalable solutions that influence strategy and execution across the enterprise.

In this role, you will...

Lead with data evangelism across business functions—Sales, Marketing, Revenue Operations, Customer Success & Support—bringing clarity, insights, and action through storytelling.
Design and build advanced dashboards and analytics pipelines, leveraging AI/ML to solve high-impact business problems.
Use Python, R, and AI/ML frameworks to build models such as churn prediction, lead scoring, sentiment analysis, and cross-sell/upsell recommendations.
Leverage Snowflake Cortex for scalable in-database machine learning and AWS SageMaker for building and deploying custom ML models.
Drive AI/ML experimentation, including feature engineering, model evaluation, and production deployment, in collaboration with data science and engineering teams.
Write efficient, scalable SQL to analyze and transform large datasets; build data marts in Snowflake to support analytics and machine learning use cases.
Mentor junior team members and review work for quality, scalability, and performance.
Translate business needs into clear requirements and data products that improve decision-making.
Own data quality and governance for your domain; troubleshoot and resolve issues with urgency.
Educate business users on how to self-serve using modern data platforms and tools.

You have what it takes if you have...

Excellent communication skills and experience working cross-functionally with business and IT teams.
Proven leadership in BI, Advanced Analytics, and ML model deployment in an enterprise setting.
10+ years of experience in data analysis and visualization using SQL and Tableau with a strong focus on UI/UX.
5+ years of hands-on Advanced Analytics/Data Science experience using Python and/or R.
2+ years of experience working with Snowflake, including Snowflake Cortex or similar ML services.
Familiarity with AWS SageMaker, ML Ops pipelines, and deploying ML models at scale.
Deep understanding of data warehousing concepts and experience building trusted datasets and data products.
Strong domain knowledge in CRM and MarTech applications (Salesforce, Marketo, Gainsight).
Bachelor's degree in Computer Science, Data Science, or equivalent (MBA a plus).

Extra dose of awesome if you have...

Experience with dbt, Informatica, or Matillion for data transformation and orchestration.
Tableau Desktop Certified Professional.
Experience with predictive analytics in go-to-market functions (e.g., campaign attribution, customer lifetime value modeling, lead prioritization).
Familiarity with LLMs, vector databases, or emerging GenAI capabilities for enterprise use cases.

#LI-Onsite

Our Culture:

Spark Greatness. Shatter Boundaries. Share Success. Are you ready? Because here, right now – is where the future of work is happening. Where curious disruptors and change innovators like you are helping communities and customers enable everyone – anywhere – to learn, grow and advance. To be better tomorrow than they are today.

Who We Are:

Cornerstone powers the potential of organizations and their people to thrive in a changing world. Cornerstone Galaxy, the complete AI-powered workforce agility platform, meets organizations where they are. With Galaxy, organizations can identify skills gaps and development opportunities, retain and engage top talent, and provide multimodal learning experiences to meet the diverse needs of the modern workforce. More than 7,000 organizations and 100 million+ users in 180+ countries and in nearly 50 languages use Cornerstone Galaxy to build high-performing, future-ready organizations and people today.

Total Rewards:

At Cornerstone, we are dedicated to inspiring excellence and pushing boundaries in everything we do. Our compensation strategy is based on three fundamental principles: equitable pay, market-driven research, and skill-based appraisals. As part of our mission to share success and empower individuals to thrive in an ever-changing world, the listed salary range is just one element of Cornerstone’s comprehensive compensation package. This compensation package may also include annual bonuses, short- and program-specific awards depending on the role, and a comprehensive benefit offering. The disclosed salary range reflects the geographic differential based on the location of the position if applicable. The starting salary for the successful applicant will depend on several job-related factors, including education, training, experience, certifications, location, business needs, and market demands. This range is based on a full-time position and may be adjusted in the future. Join us in shaping the future of work — tomorrow, together. Experience flexibility and empowerment in your career at Cornerstone. The

BASE salary range for this position is: 116300 - 186100 USD.

Check us out on LinkedIn, Comparably, Glassdoor, and Facebook!

Equal Employment Opportunity has been, and will continue to be, a fundamental commitment at Cornerstone OnDemand. All qualified applicants are given consideration regardless of race, religion, color, gender, sex, age, sexual orientation, gender identity, national origin, marital status, citizenship status, disability, veteran status, or any other protected class as provided in applicable Federal, State, or Local fair employment laws. If you have a disability or special need that requires accommodation, please contact us at careers@csod.com or +1 855 454 8433.

Read the EEO is the Law poster here, and the supplementary poster here

Read the Read the Pay Transparency Nondiscrimination Provision poster here

Original Job Description

Principal BI Engineer

Dublin, CA, United States

We're looking for a

Principal BI Engineer

Lead with data evangelism across business functions—Sales, Marketing, Revenue Operations, Customer Success & Support—bringing clarity, insights, and action through storytelling.
Design and build advanced dashboards and analytics pipelines, leveraging AI/ML to solve high-impact business problems.
Use Python, R, and AI/ML frameworks to build models such as churn prediction, lead scoring, sentiment analysis, and cross-sell/upsell recommendations.
Leverage Snowflake Cortex for scalable in-database machine learning and AWS SageMaker for building and deploying custom ML models.
Drive AI/ML experimentation, including feature engineering, model evaluation, and production deployment, in collaboration with data science and engineering teams.
Write efficient, scalable SQL to analyze and transform large datasets; build data marts in Snowflake to support analytics and machine learning use cases.
Mentor junior team members and review work for quality, scalability, and performance.
Translate business needs into clear requirements and data products that improve decision-making.
Own data quality and governance for your domain; troubleshoot and resolve issues with urgency.
Educate business users on how to self-serve using modern data platforms and tools.

You have what it takes if you have...

Excellent communication skills and experience working cross-functionally with business and IT teams.
Proven leadership in BI, Advanced Analytics, and ML model deployment in an enterprise setting.
10+ years of experience in data analysis and visualization using SQL and Tableau with a strong focus on UI/UX.
5+ years of hands-on Advanced Analytics/Data Science experience using Python and/or R.
2+ years of experience working with Snowflake, including Snowflake Cortex or similar ML services.
Familiarity with AWS SageMaker, ML Ops pipelines, and deploying ML models at scale.
Deep understanding of data warehousing concepts and experience building trusted datasets and data products.
Strong domain knowledge in CRM and MarTech applications (Salesforce, Marketo, Gainsight).
Bachelor's degree in Computer Science, Data Science, or equivalent (MBA a plus).

Extra dose of awesome if you have...

Experience with dbt, Informatica, or Matillion for data transformation and orchestration.
Tableau Desktop Certified Professional.
Experience with predictive analytics in go-to-market functions (e.g., campaign attribution, customer lifetime value modeling, lead prioritization).
Familiarity with LLMs, vector databases, or emerging GenAI capabilities for enterprise use cases.

#LI-Onsite

Our Culture:

Who We Are:

Total Rewards:

Check us out on LinkedIn, Comparably, Glassdoor, and Facebook!

Read the EEO is the Law poster here, and the supplementary poster here

Read the Read the Pay Transparency Nondiscrimination Provision poster here

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Principal BI Engineer

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