$75.00-$85.00 HOUR 8/4/2026 2:43:06 PM 8/4/2026 2:43:06 PM Business Data & AI Specialist – GTM Data & Systems Strategy <div>Agilus by Synergie is recruiting for a Business Data & AI Specialist – GTM Data & Systems Strategy in the Oil and Gas Sector in Calgary, Alberta. 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. Total rewards:<ul><li>$75.00 - $85.00 hourly</li><li>12 months of contract position</li><li>Houston/Calgary (Hybrid)</li></ul>A typical day:<ul><li>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.</li><li>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.</li><li>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.</li><li>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.</li><li>Prepare and maintain documentation that supports knowledge transfer, auditability, and operational continuity, Apply appropriate evaluation methodologies and document assumptions, limitations, and model performance.</li><li>Write clean, well-structured Python code that meets quality and security standards, working within shared repositories (Git).</li><li>Support model deployment and operationalization, including basic MLOps practices such as monitoring inputs, outputs, and performance over time.</li><li>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.</li></ul>Successful candidates will have:<ul><li>Bachelor’s degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, or a related field.</li><li>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.</li><li>Strong proficiency in Python and common data science libraries, Solid understanding of applied machine learning concepts and applied statistics.</li><li>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.</li><li>Experience with Generative AI, large language models (LLMs), or agent-based workflows or agent-based workflows in applied business settings, SQL proficiency and experience working with operational or analytical databases.</li><li>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.</li><li>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.</li><li>Escalates complex, ambiguous, or cross-functional issues appropriately, Prioritizes consistent delivery and operational value over exploratory research or technology experimentation.</li></ul><div>This posting is for an active opening. </div>Interested? Please apply directly online Agilus by Synergie would like to thank all candidates for their interest in this opportunity. Due to the volume of resumes we receive; we may only be able to respond directly to those candidates being selected for an interview.We encourage you to visit agilus.ca regularly or subscribe to our email alerts at <a href="https://en.agilus.ca/Account/Register" >agilus.ca/Account/Register</a> as new exciting employment opportunities become available daily.</div> Calgary AB T2P 3L8 Contract Calgary, AB 2216

04 Aug 2026

Business Data & AI Specialist – GTM Data & Systems Strategy

Calgary, AB

Agilus by Synergie is recruiting for a Business Data & AI Specialist – GTM Data & Systems Strategy in the Oil and Gas Sector in Calgary, Alberta.
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.
Total rewards:

$75.00 - $85.00 hourly
12 months of contract position
Houston/Calgary (Hybrid)

A typical day:

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.
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.
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.

Successful candidates will have:

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.
Strong 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.
Experience with Generative AI, large language models (LLMs), or agent-based workflows 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.
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.

This posting is for an active opening.

Interested?
Please apply directly online

Agilus by Synergie would like to thank all candidates for their interest in this opportunity. Due to the volume of resumes we receive; we may only be able to respond directly to those candidates being selected for an interview.
We encourage you to visit agilus.ca regularly or subscribe to our email alerts at agilus.ca/Account/Register as new exciting employment opportunities become available daily.

Job Code 156813

We value a diverse workplace.

Agilus by Synergie is committed to employ people from diverse backgrounds and we actively demonstrate inclusiveness through fair, equitable and accessible hiring practices. We recognize the strength that comes from different experiences, backgrounds and perspectives and welcome candidates who identify as visible minorities, Indigenous people, persons with disabilities, and persons within the LGBTQ+ community. We feel it is important as an organization that all people have access and opportunity to be employed, to be valued and to be respected.

Our recruiting process is human-centric and supported by AI. Our AI assistant may reach out to applicants for a prescreen. All results will be reviewed and evaluated by our Canadian based, human recruiting team.

Accommodations for job applicants with disabilities will be provided upon request during the recruitment, assessment, selection and placement process. Alternative format available on Request.