Global Director, AI Industry Solutions – Energy
Job Description:
• Develop and own the global AI industry solutions strategy for Energy
• Lead hands-on AI solutioning with strategic energy customers
• Serve as the primary AI technical authority for Energy
• Collaborate with Product, Engineering, and the Cloudera AI team to influence the AI product roadmap
• Work with Enterprise AI Ecosystem partners to co-develop integrated energy solutions
• Build and publish AI Accelerators (AMPs) and solution blueprints enabling rapid deployment of energy-specific AI use cases
• Provide deep technical AI support during strategic sales cycles
• Develop thought leadership including technical blogs, conference presentations, and solution demos positioning Cloudera as the enterprise AI platform of choice for energy
• Represent Cloudera at key energy industry forums
Requirements:
• A minimum of 10+ years of experience in AI/ML, data & analytics, or enterprise software, with significant experience in oil & gas, utilities, power generation, renewables, or energy trading
• Bachelor's degree in Computer Science, Engineering, Data Science, or related quantitative field; Master's or MBA preferred
• Deep hands-on fluency with AI/ML technologies
• Strong Python proficiency and familiarity with the modern AI/ML stack (PyTorch, Spark MLlib, MLflow, Hugging Face, LangChain) and data engineering fundamentals (Spark, Kafka, Flink, NiFi, Iceberg, data lakehouse architectures)
• Working knowledge of LLM application patterns including RAG, fine-tuning, agentic frameworks, vector databases, and model evaluation
• Understanding of energy-specific data challenges
• Executive presence with demonstrated ability to establish trusted advisor relationships with C-level executives while engaging at deep technical depth with data science and engineering teams
• Excellent communicator and accomplished public speaker
• Proven track record developing and executing go-to-market strategies for AI/data platform solutions in complex global enterprise sales environments.
• Strong knowledge of the competitive landscape (Databricks, Snowflake, AWS, Azure, Google Cloud AI, Palantir, C3.ai, AspenTech, OSIsoft/AVEVA)
Benefits:
• Generous PTO Policy
• Support work life balance with Unplugged Days
• Flexible WFH Policy
• Mental & Physical Wellness programs
• Phone and Internet Reimbursement program
• Access to Continued Career Development
• Comprehensive Benefits and Competitive Packages
• Paid Volunteer Time
• Employee Resource Groups
Apply Now
Apply Now
• Develop and own the global AI industry solutions strategy for Energy
• Lead hands-on AI solutioning with strategic energy customers
• Serve as the primary AI technical authority for Energy
• Collaborate with Product, Engineering, and the Cloudera AI team to influence the AI product roadmap
• Work with Enterprise AI Ecosystem partners to co-develop integrated energy solutions
• Build and publish AI Accelerators (AMPs) and solution blueprints enabling rapid deployment of energy-specific AI use cases
• Provide deep technical AI support during strategic sales cycles
• Develop thought leadership including technical blogs, conference presentations, and solution demos positioning Cloudera as the enterprise AI platform of choice for energy
• Represent Cloudera at key energy industry forums
Requirements:
• A minimum of 10+ years of experience in AI/ML, data & analytics, or enterprise software, with significant experience in oil & gas, utilities, power generation, renewables, or energy trading
• Bachelor's degree in Computer Science, Engineering, Data Science, or related quantitative field; Master's or MBA preferred
• Deep hands-on fluency with AI/ML technologies
• Strong Python proficiency and familiarity with the modern AI/ML stack (PyTorch, Spark MLlib, MLflow, Hugging Face, LangChain) and data engineering fundamentals (Spark, Kafka, Flink, NiFi, Iceberg, data lakehouse architectures)
• Working knowledge of LLM application patterns including RAG, fine-tuning, agentic frameworks, vector databases, and model evaluation
• Understanding of energy-specific data challenges
• Executive presence with demonstrated ability to establish trusted advisor relationships with C-level executives while engaging at deep technical depth with data science and engineering teams
• Excellent communicator and accomplished public speaker
• Proven track record developing and executing go-to-market strategies for AI/data platform solutions in complex global enterprise sales environments.
• Strong knowledge of the competitive landscape (Databricks, Snowflake, AWS, Azure, Google Cloud AI, Palantir, C3.ai, AspenTech, OSIsoft/AVEVA)
Benefits:
• Generous PTO Policy
• Support work life balance with Unplugged Days
• Flexible WFH Policy
• Mental & Physical Wellness programs
• Phone and Internet Reimbursement program
• Access to Continued Career Development
• Comprehensive Benefits and Competitive Packages
• Paid Volunteer Time
• Employee Resource Groups
Apply Now
Apply Now