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

Location: Houston/Calgary (Hybrid - Wed. and Fri., remote)

Duration: 12 months

Role Summary:

- GTM D&SS; is seeking a Business Data & AI Specialist to work within the Gas Transmission business and deliver applied data science, AI/ML, and automation solutions that directly support operational priorities including reliability, compliance, asset management, and decision support.
- The role will be embedded within D&SS; and will partner closely with operations, engineering, integrity, records, asset management teams, etc. to understand their challenges, define requirements, and translate them into practical, data-driven solutions.
- The role requires strong technical execution skills with a focus on understanding the business context, delivering measurable outcomes, and ensuring solutions are usable, auditable, and aligned with how the business operates.
- This role leverages technology platforms to build and deliver business-owned solutions that address GTM-specific needs.

Key Responsibilities:

- Partner with business stakeholders across operations, engineering, reliability, records, and asset management to identify, scope, and prioritize data and AI opportunities.
- Translate business questions and operational pain points into well-defined analytical or modeling problems.
- Ensure solutions are grounded in business context, regulatory requirements, and operational realities.
- Perform data acquisition, cleansing, transformation, and validation across structured and unstructured datasets.
- Conduct exploratory analysis to surface trends, anomalies, risks, and improvement opportunities relevant to GTM operations.
- Design, build, test, and tune machine learning models using established techniques (e.g., classification, regression, clustering, natural language processing) to address specific business use cases.




- Build Generative AI and Agentic AI?based solutions, including prompt engineering and workflow automation.
- Deliver reproducible analyses and clearly communicate findings, recommendations, and limitations to both technical and non-technical audiences.
- Create business-facing visualizations and dashboards that support day-to-day decision-making.
- Prepare and maintain documentation that supports knowledge transfer, auditability, and operational continuity.
- Apply appropriate evaluation methodologies and document assumptions, limitations, and model performance.
- Write clean, well-structured Python code that meets quality and security standards, working within shared repositories (Git).
- Support model deployment and operationalization, including basic MLOps practices such as monitoring inputs, outputs, and performance over time.
- Collaborate with D&SS;, TIS, business partners, and domain experts to ensure solutions meet operational needs.
- Identify opportunities to enhance or extend existing business solutions within the assigned domain.
- Stay current on practical advances in data science, ML, and AI that are relevant to the business context.

Required Qualifications:

- Bachelor’s degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, or a related field.
- 6-8 years of combined experience applying data, analytics, and AI/ML to business or operational problems, with demonstrated ability to translate business needs into practical, data-driven solutions in the energy industry.




- Robust proficiency in Python and common data science libraries.
- Solid understanding of applied machine learning concepts and applied statistics.
- Demonstrated ability to communicate insights and recommendations to business stakeholders clearly and concisely.
- Experience working collaboratively across functions, not just within a technical team.
- Ability to work independently within a defined scope and effectively collaborate across teams.

Preferred Qualifications:

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

Level & Scope Expectations:

- Works independently on routine and moderately complex tasks within a defined business domain.
- Demonstrates depth in understanding the operational context behind the data.
- Produces solutions that are reliable, documented, supportable, and business-owned.
- Escalates complex, ambiguous, or cross-functional issues appropriately.
- Prioritizes consistent delivery and operational value over exploratory research or technology experimentation.

Applicant Notices & Disclaimers

- For information on benefits, equal opportunity employment, and location-specific applicant notices, click here

At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws.The pay rate for this position is C$50.67/hr.

📌 Business Data and AI Specialist (Calgary)
🏢 SPECTRAFORCE
📍 Calgary