Data Products Specialist

Keyera Career Opportunity Why Keyera?

It’s our purpose-driven culture, benefits, and people. From flexible, customizable benefits and an employer-funded pension plan to our Keyera Connects social investment program and paid employee volunteer days, we’re focused on empowering our people and communities.

When You Work With Us, You'll Enjoy Flexible Benefits

to meet your individual and family needs, including

- $3,500 plus 4.5% of base salary each year to customize your benefits and investments

- Saving plan options, including an Employee Share Purchase Plan, RRSP, and TFSA

- Defined Contribution Pension Plan funded by Keyera up to 10% of base salary

- Wellness Personal Spending Account of $750 per year to cover wellness expenses

Paid vacation and eight flex days each year

- Two paid volunteer days each year to support the causes that are most important to you

- Employee Family Assistance Program with a variety of support resources from professional counselling to financial planning support and more.

Role/Location Specific

- Keyera’s Northern Allowance is a tiered incentive program based on years of service, currently offered to employees working at the following locations: Grande Prairie Office, Wapiti, Simonette, Gold Creek, South Cheecham, and Fox Creek Terminal. This information reflects the current state of the program and may be subject to change over time.

Please note that compensation and benefits may be different based on the work location, position, and a candidate's experience and qualifications.

Job Type

Permanent

THE POSITION

The Data Products Specialist is responsible for designing, building, and operating advanced artificial intelligence solutions—including AI agents and decision-support systems—that capitalize on high-value business opportunities or solve high-value business problems.

This role focuses on applying machine learning, AI, and agent-based architectures to asset-intensive environments, enabling smarter operations, improved reliability, optimized capital deployment, and better decision-making at scale.

Working closely with business stakeholders, data scientists, and product teams, the Data Products Specialist translates complex operational challenges into production-ready AI systems. These systems may include autonomous or semi-autonomous agents that reason over enterprise data, invoke tools and APIs, and integrate seamlessly into existing workflows and platforms.

Responsibilities

- Design, build, and deploy AI/ML solutions, including:

- Machine learning models

- Generative AI and large language model (LLM)–based solutions

- AI agents that use tools, APIs, and workflows to execute business tasks

- Develop agent-based systems that:

- Reason over structured and unstructured enterprise data

- Interact with data platforms, operational systems, and external services

- Support or automate decisions in operations, engineering, maintenance, finance, or capital projects

- Implement solutions using modern AI platforms and cloud ecosystems (e.g., Databricks, cloud-native ML services, Copilot-style integrations, AWS-based architectures)

- Partner with business and operational teams to:

- Frame problems suitable for AI/ML or agent-based approaches

- Define success metrics tied to business outcomes (cost, risk, uptime, throughput, safety)

- Ensure AI solutions are scalable, reliable, secure, and production-ready, following MLOps and software development best practices

- Perform rigorous testing, validation, and evaluation of models and agents to ensure they meet performance, safety, and business requirements

- Monitor deployed AI systems and agents, continuously optimizing performance, cost, and relevance as data and conditions evolve

- Integrate AI capabilities into enterprise systems, analytics platforms, and user-facing tools

- Stay current on advancements in AI, ML, generative AI, and agent frameworks, and assess their applicability to real-world business problems

Qualifications

Education

- Bachelor’s degree in computer science, data science, software engineering, or related practical experience

Work Experience

- 15+ years of experience in AI/ML development, data science, or advanced analytics - 5+ years designing and implementing production AI/ML solutions

- Demonstrated experience building solutions that move beyond experimentation into operational use

- Experience working in or supporting asset-intensive industries such as:

- Energy, utilities, mining, manufacturing, transportation, or infrastructure

- Capital projects, operations, reliability, maintenance, or supply chain environments

- Experience with big data and distributed computing platforms

- Exposure to deploying AI solutions in regulated, safety-critical, or high-reliability contexts is strongly preferred

Technical Skills

- Strong foundation in machine learning techniques:

- Supervised and unsupervised learning

- Deep learning

- Reinforcement learning and decision optimization (where applicable)

- Experience with generative AI and LLM-based systems, including:

- Prompt development

- Retrieval-augmented generation (RAG)

- Tool-using or agent-based architectures

- Proficiency in Python and experience with supporting languages (e.g., SQL, JavaScript; others as relevant)

- Hands-on experience with ML frameworks and modern ML toolchains

- Experience working within cloud platforms and AI services (e.g., AWS, Azure), including model deployment and monitoring

- Familiarity with data management concepts:

- Data pipelines, integration patterns, feature development

- Data warehousing, lakehouse, or similar architectures

- Understanding of MLOps, CI/CD, model lifecycle management, and production monitoring

- Ability to work with large, complex datasets and enterprise data sources

- Experience delivering results and business outcomes in enterprise environments

Professional Skills

- Strong analytical thinking and structured problem-solving ability

- Comfortable operating at the intersection of business problems, data, and technology

- Ability to communicate complex technical concepts clearly to non-technical stakeholders and executives

- Collaborative mindset, with experience working in cross-functional, product-oriented teams

- Experience mentoring and coaching other technical resources

Posting Expiry Date

Mar 27, 2026

At Keyera, we embrace collaboration, inclusion, and a workplace that is as diverse as the communities we serve. Our values foster an environment for every person to bring their whole self to work.

We offer a well-rounded total compensation package and a comprehensive benefits program designed with the well-being and empowerment of our employees and their families in mind.

If you are interested in an opportunity to join a winning, purpose-driven culture then you’ll enjoy a career with us.

We thank all applicants for their interest; however, only those considered for an interview will be contacted.