Business Data & AI Specialist – GTM Data & Systems Strategy (Engineering Analyst IV)

Location: Houston/Calgary

Pay Rate: $49.00 per hour (W-2 or T-4), 12+ month contract

Work Mode: Hybrid - Wednesday and Friday remote

About the role

Company is seeking a Business Data & AI Specialist to work within the Gas Transmission business. The role focuses on delivering applied data science, AI/ML, and automation solutions that support operational priorities. Embedded within the Data & Systems Strategy department, the role collaborates with various teams to translate challenges into data-driven solutions. The position emphasizes technical execution skills and understanding the business context to deliver measurable outcomes.

Responsibilities

• Partner with business stakeholders to identify, scope, and prioritize data and AI opportunities.
• Translate business questions into analytical or modeling problems, ensuring solutions align with business context and regulatory requirements.
• Perform data acquisition, cleansing, transformation, and validation across datasets.
• Design and build machine learning models using established techniques.
• Develop Generative AI and Agentic AI-based solutions, including prompt engineering and workflow automation.
• Deliver analyses and communicate findings to both technical and non-technical audiences.
• Create visualizations and dashboards for decision-making support.
• Prepare and maintain documentation for knowledge transfer and operational continuity.
• Write clean Python code and support model deployment with MLOps practices.
• Collaborate with various departments to ensure solutions meet operational needs.
• Identify opportunities to enhance existing business solutions.
• Stay current on advances in data science, ML, and AI relevant to the business context.

Requirements

• Bachelor’s degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, or a related field.
• Minimum 6 years of experience applying data, analytics, and AI/ML to business or operational problems.
• Strong proficiency in Python and common data science libraries.
• Solid understanding of applied machine learning concepts and applied statistics.
• Ability to communicate insights and recommendations clearly to business stakeholders.
• Experience working collaboratively across functions.
• Ability to work independently and collaboratively across teams.

Preferred Skills

• Experience with Generative AI, large language models (LLMs), or agent-based workflows.
• SQL proficiency and experience with operational or analytical databases.
• Experience building dashboards or reports (e.g., Power BI).
• Familiarity with cloud-based platforms (Azure preferred; AWS or GCP acceptable).
• Experience in engineering, operations, regulated, or energy sector environments.
• Exposure to documentation-heavy or audit-sensitive work contexts.