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Vice President Azure Databricks Jobs (NOW HIRING)

JOB SUMMARY The Vice President of Data & Artificial Intelligence will lead the design and execution ... Define and implement the enterprise data platform architecture (e.g., Databricks, Snowflake, Azure ...

The Opportunity As AssetMark accelerates data-driven transformation, the VP, Analytics will lead ... Azure). * Proficient with analytics tools such as Tableau, Power BI, Databricks, and relevant ML ...

The Opportunity As AssetMark accelerates data-driven transformation, the VP, Analytics will lead ... Azure). * Proficient with analytics tools such as Tableau, Power BI, Databricks, and relevant ML ...

The Opportunity As AssetMark accelerates data-driven transformation, the VP, Analytics will lead ... Azure). * Proficient with analytics tools such as Tableau, Power BI, Databricks, and relevant ML ...

The Opportunity As AssetMark accelerates data-driven transformation, the VP, Analytics will lead ... Azure). * Proficient with analytics tools such as Tableau, Power BI, Databricks, and relevant ML ...

The Opportunity As AssetMark accelerates data-driven transformation, the VP, Analytics will lead ... Azure). * Proficient with analytics tools such as Tableau, Power BI, Databricks, and relevant ML ...

VP, AI Agents & Automation

New York, NY · On-site

$136K - $220K/yr

This role turns measurement intelligence from Data Science and the Databricks foundation from Data ... Experience with cloud infrastructure (Azure preferred) and modern deployment patterns. * Strong ...

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Vice President Azure Databricks information

See salary details

$43.5K

$157.5K

$277.5K

How much do vice president azure databricks jobs pay per year?

As of Jun 30, 2026, the average yearly pay for vice president azure databricks in the United States is $157,532.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,000.00 and $190,000.00 per year, depending on experience, location, and employer.

What is the difference between Vice President Azure Databricks vs Data Engineering Manager?

AspectVice President Azure DatabricksData Engineering Manager
ResponsibilitiesStrategic oversight of Azure Databricks initiatives, leadership in data platform architecture, executive decision-makingManaging data engineering teams, project execution, technical implementation of data pipelines
Required SkillsLeadership, cloud architecture, data strategy, Azure Databricks expertise, stakeholder managementData pipeline development, team management, technical skills in Spark, SQL, cloud platforms
Work EnvironmentExecutive-level, cross-departmental collaboration, strategic planningTechnical team management, project-focused, hands-on data engineering

The Vice President Azure Databricks focuses on strategic leadership and high-level decision-making for data platforms using Azure Databricks, while the Data Engineering Manager handles day-to-day technical management of data engineering teams and projects. Both roles require cloud and data platform knowledge, but differ in scope and seniority.

What cities are hiring for Vice President Azure Databricks jobs? Cities with the most Vice President Azure Databricks job openings:
What are the most commonly searched types of Azure Databricks jobs? The most popular types of Azure Databricks jobs are:
What states have the most Vice President Azure Databricks jobs? States with the most job openings for Vice President Azure Databricks jobs include:
Infographic showing various Vice President Azure Databricks job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $157,532 per year, or $75.7 per hour.
Senior Data Scientist

Full-time

Posted 22 days ago


NOV rating

8.0

Company rating: 8.0 out of 10

Based on 55 frontline employees who took The Breakroom Quiz

145th of 421 rated machine equipment manufacturers


Job description

Reports to: VP Data & Analytics

  As a Senior Data Scientist, you will:

  • Partner with business leaders to identify high-value opportunities in areas such as demand planning, capacity/production planning, procurement, and financial forecasting
  • Develop a firm understanding of specific business processes and real-world workflows
  • Work closely with cross-functional teams including domain experts, business analysts, data engineers and software engineers
  • Lead data science initiatives that impact operations globally across multiple business units
  • Define project scope, timelines and deliverables in collaboration with business leaders
  • Architect scalable machine learning and forecasting solutions within cloud platforms such as AWS, Azure, Databricks, and Snowflake
  • Ensure models are production-ready, robust, and maintainable with appropriate monitoring and retraining pipelines
  • Develop standardized methodologies and frameworks to ensure scalability and consistency across diverse environments
  • Ensure compliance with data governance, privacy, and security standards while scaling analytics solutions globally
  • Manage and mentor interns, junior data scientists and analysts
  • Translate advanced analytics results into strategic recommendations for VP and C-level leadership
  • Utilize programming languages such as SQL, Python for data manipulation, analysis and model development

 SUGGESTED QUALIFICATIONS

  • Master's degree in a quantitative discipline
  • Five or more years of professional data science experience in manufacturing and/or supply chain environments
  • Hands-on experience working with ERP data and operational processes including order-to-cash, procure-to-pay, and demand-to-deliver
  • Proven ability to communicate complex or technical concepts clearly to both technical and non-technical audiences
  • Advanced proficiency in Python, SQL and PySpark; experience wrangling large relational datasets
  • Deep expertise in machine learning, forecasting and optimization
  • Experience deploying enterprise-scale solutions in cloud environments (AWS experience preferred)
  • Proficient in at least one data visualization library such as Matplotlib, Seaborn, or Plotly
  • Knowledge of Streamlit for building interactive data applications preferred
  • Familiarity with MLOps practices, CI/CD pipelines, and model lifecycle management
  • Demonstrated ability to drive business impact and ROI through analytics
  • Strong track record of executive-level communication and influence
  • Experience leading cross-functional teams across multiple geographies

What NOV employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About NOV

Sourced by ZipRecruiter

Throughout every region in the world and across every area of drilling and production, our family of companies has provided the technical expertise, advanced equipment and operational support necessary for success. We have the people, capabilities and vision to serve the needs of a challenging and evolving industry. One the world can’t live without. We are a global family of thousands of individuals, working as one team to create lasting impact for ourselves, our customers and the communities where we live and work. We take responsibility for each other and our company’s future, knowing that personal ownership leads to broader success. We believe in purposeful innovation because we see what others do not and we act. Through business innovation, product creation and service delivery, we are driven to power the industry that powers the world better.

Industry

Oil and gas extraction

Company size

10,000+ Employees

Headquarters location

Houston, TX, US

Year founded

1841