Operations Research Analyst - Two Positions

Manufacturing • Business Planning

Caivan ABIC - Ottawa, Ontario

The positions

Caivan ABIC is recruiting two Operations Research Analysts. Both are full-time, on-site positions in Ottawa and both sit within the operations organization.

• Operations Research Analyst, Manufacturing. Optimization, simulation, and statistical analysis applied to the ABIC factory: production flow, supply chain, and logistics. Reports to the Assistant General Manager, Operations.
• Operations Research Analyst, Business Planning. The analytical work behind the company's orderbook and its multi-year production profile. Reports to the Executive Vice President, Operations.

The two roles share a technical foundation and differ in scope. Applicants may apply to either stream, or ask to be considered for both.

Necessary skills

Essential. A demonstrated record of building quantitative models - optimization, simulation, forecasting, or planning - that a live operation adopted and ran on, with measurable results. Coursework and prototypes alone do not meet this bar.

Essential. A bachelor's degree in operations research, industrial engineering, applied mathematics, or another discipline in which quantitative modelling was the core of the training. A master's degree is an asset, not a requirement.

Essential. Proficiency in Python or a comparable language, and in SQL.

Essential. The ability to explain a model's logic, assumptions, and limitations plainly to operators, supervisors, and executives.

Strongly desirable, Manufacturing. Experience with optimization solvers (Gurobi, CPLEX, OR-Tools, or similar) and with discrete-event simulation. Exposure to lean or Toyota Production System methods. Comfort working on a factory floor: observing lines, timing processes, and speaking with operators, not only working from data extracts.

Strongly desirable, Business Planning. Experience modelling multi-period plans under capacity constraints - master production scheduling, sales and operations planning, or portfolio-level project scheduling - and advanced Excel. The ability to present a plan and defend its logic to senior executives.

Strongly desirable, both streams. Experience in homebuilding, land development, construction, manufacturing, or another long-cycle, capital-intensive industry.

Responsibilities

Manufacturing. Model and improve production flow through the factory: line balancing, bottleneck identification, changeover and sequencing analysis, and capacity modelling across lines and shifts. Build shop floor planning models that align factory output with downstream site demand and construction schedules. Analyze and optimize supply chain performance, including inventory policy, safety stock levels, supplier lead times, and material availability against the production schedule. Model logistics from factory to site, including delivery sequencing and, for the northern modular program, shipment plans constrained by short Arctic transport windows. Run scenario and simulation analysis to support capacity and investment decisions, including factory expansion planning, and work with Caivan's software and data teams to move proven models into production tools.

Business Planning. Maintain and improve the orderbook: the intake, sequencing, and status of sold and speculative homes against production capacity and delivery commitments. Build and maintain the production profile, the multi-year plan that links lot inventory, sales absorption, factory output, and site construction schedules into a coherent delivery schedule by community. Run scenario analysis on absorption, capacity, product mix, and lot servicing timelines, and their effect on deliveries and revenue timing. Produce variance analysis of actuals against plan and translate the findings into concrete planning adjustments. Contribute analytical models to Caivan's integrated planning platform, and coordinate planning inputs across land development, sales, the ABIC factory, site construction, and finance.

Why these roles

Because Caivan ABIC controls its land, its factory, and its construction, both roles work from inputs the company owns rather than terms negotiated with outside parties, and both see their models implemented and measured inside the same operation. The data is held in house, the problems are concrete, and results are visible quarter over quarter. The team includes engineers, data scientists, and mechatronics specialists, and the company is investing in the integrated planning platform both roles contribute to.

Compensation and hours

$95,000 - $120,000

44 hours per week

Please note

Both positions are fully in person, on site in Ottawa, Ontario. We thank all applicants for their interest; only those selected for an interview will be contacted.

How to apply



Please indicate in your application which stream you are applying to, or whether you wish to be considered for both.

We carefully review all applications and will contact candidates whose skills, experience, and qualifications most closely align with the requirements of the position.

Artificial intelligence (AI) tools may be used to support the application review and candidate screening process. All hiring decisions involve human review and oversight.

We are committed to providing an inclusive recruitment process. If you require accommodation at any stage of the selection process, please contact Human Resources and we will work with you to meet your needs.

This position is available due to a current vacancy.