1

Manager Data Science Civil Engineering Jobs in Calgary, AB

... Science to solve the world's most complex challenges. Our industry-leading experts in engineering ... Ability to manage multiple projects and meet deadlines efficiently. Willingness and ability to ...

The Civil Site Coordinator works closely with the Civil Superintendent, subcontractors, engineering ... engineering and project management. • Support project scheduling by identifying constraints and ...

... manager is an asset * University Degree in Civil Engineering or equivalent * Registered member of a Professional Engineering association in Canada * Eligibility to be registered as a member of the ...

The Civil Site Coordinator works closely with the Civil Superintendent, subcontractors, engineering ... engineering and project management. • Support project scheduling by identifying constraints and ...

Minimum six years of experience in data science, analytics, economics, finance,corporate and commercial credit rating, risk management, credit risk modelling, credit portfoliomanagementor information ...

... of data science and software engineering. As an integral member of our team, we highly encourage ... Ability to define and manage project deadlines and balance workloads across a wide variety of ...

... Science to solve the world's most complex challenges. Our industry-leading experts in engineering ... Bachelor's degree in civil engineering or a related field. * Minimum 10 years of design experience ...

Showing results 41-60

Manager Data Science Civil Engineering information

What is the difference between Manager Data Science Civil Engineering vs Civil Engineering Project Manager?

AspectManager Data Science Civil EngineeringCivil Engineering Project Manager
Required CredentialsMaster's in Data Science, Civil Engineering, or related field; certifications in project management or data analyticsBachelor's or Master's in Civil Engineering; Professional Engineer (PE) license often preferred
Work EnvironmentData analysis teams, engineering firms, research institutionsConstruction sites, engineering firms, project offices
Employer & Industry UsageTech-driven civil engineering projects, infrastructure analyticsConstruction projects, infrastructure development, urban planning

The Manager Data Science Civil Engineering focuses on analyzing data to optimize civil engineering projects, while the Civil Engineering Project Manager oversees the planning, execution, and completion of civil construction projects. Both roles require engineering knowledge but differ in their core responsibilities and work environments.

What are popular job titles related to Manager Data Science Civil Engineering jobs in Calgary, AB? For Manager Data Science Civil Engineering jobs in Calgary, AB, the most frequently searched job titles are:
Infographic showing various Manager Data Science Civil Engineering job openings in Calgary, AB as of August 2026, with employment types broken down into 83% Full Time, 16% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Manager Data Architecture - Calgary, AB

Optiom

Calgary, AB • On-site

Full-time

Medical, Dental, Vision, PTO

Re-posted 2 days ago


Job description

Build the data foundation of a growing specialty insurer


Optiom is a Canadian specialty insurance Managing General Agency (MGA), backed by Aviva Canada, delivering vehicle protection through a national network of dealers and brokers. We're investing in a modern, governed data platform - one where our customers and partners are understood in one place, and every policy, claim, call and service event connects back to them.


We're looking for a hands-on Manager, Data Architecture to lead our data analytics and data management functions and build that foundation with us. Reporting to the Director, Execution Office, you'll own the data model, the governed cloud data platform, and the analytics and reporting the whole business relies on - across all three of our brands.


This is a build-and-scale role for someone who wants to shape a data function from the model outward: establish the governance and quality that make the numbers reconcile, and turn a fragmented data landscape into a single, trusted source of truth.


What you'll do

  • Design and maintain our target data architecture - a governed cloud data platform (Snowflake) and curated data products such as Customer 360 and Partner 360.
  • Lead the data management function - master data management, data quality, governance, lineage and retention - so the numbers leadership reviews agree across sales, claims, finance and service.
  • Lead the analytics and BI function - deliver trusted, self-serve Power BI reporting for Sales, Claims, Operations, Finance and Service.
  • Define the data models and integration patterns that connect our core insurance, CRM and contact-centre systems through consistent, governed data contracts.
  • Partner across the business to translate questions into governed data products, and enable forecasting, retention analytics and AI-ready data.
  • Provide technical leadership and mentorship, and build internal data capability.


What you bring

  • 6+ years in data architecture, data engineering, or analytics leadership, including hands-on data modelling (dimensional and semantic) - not solely dashboard production.
  • Ownership of a modern cloud data platform (Snowflake strongly preferred; Azure or AWS equivalents considered) and current ELT / transformation practices.
  • Proven delivery of enterprise business intelligence (Power BI preferred) to senior leadership.
  • Experience establishing data governance, MDM and data quality controls in a regulated environment.
  • Strong SQL; Python an asset.
  • Bachelor's degree in Computer Science, Data / Information Management, Engineering, Statistics or a related field - or equivalent demonstrable experience.
  • A clear communicator who can translate between technical and business audiences.


Bonus points for

  • Insurance, financial services, MGA, warranty or premium-financing data experience.
  • Snowflake with dbt, Microsoft Fabric, or Azure Data Services.
  • Certifications such as DP-600, PL-300, SnowPro, CDMP (DAMA) or TOGAF.
  • Familiarity with API-gateway integration, canonical data contracts, and contact-centre data (e.g., Amazon Connect).
  • Privacy and AML data-handling exposure (PIPEDA, FINTRAC).


Who we are

Optiom Inc. is a specialty vehicle replacement insurance MGA and a wholly owned subsidiary of Aviva Canada. Originating in British Columbia in 2008 and now headquartered in Calgary, we deliver dependable protection through a national network of more than 330 dealerships and 900 broker offices, with over 600,000 policies sold to date. We pair the entrepreneurial energy of a specialty MGA with the strength and credibility of one of Canada's largest and most trusted insurers.


Why you'll want to join

  • Backed by Aviva Canada - enterprise-level resources in an entrepreneurial setting.
  • Own the data foundation behind our shift to a customer- and partner-centric way of operating.
  • Build-and-scale mandate across three brands and a national dealer and broker network.
  • Specialty niche - deep expertise in Canadian specialty vehicle-warranty insurance and premium financing.
  • Growth toward senior data and architecture leadership.
  • Employer-supported certifications and professional development.
  • Hybrid work model based in our Calgary office (open to Calgary-based candidates only).


Compensation & benefits

  • Base salary: $120,000-$15,000, commensurate with experience and certification level
  • Annual performance bonus: 10-15% of base
  • Comprehensive group benefits - medical, dental, vision, and EAP
  • Three weeks' vacation to start, increasing with tenure
  • Employer-supported professional development and certifications


How to apply

Apply directly through Indeed with your resume. We review every application and will be in touch with candidates selected to move forward.


Optiom is an equal opportunity employer. We are committed to an inclusive, barrier-free recruitment process and welcome applications from all qualified candidates. If you require accommodation at any stage of the hiring process, please let us know and we will work with you to meet your needs.


Optiom uses AI tools to assist with initial application screening. All final hiring decisions are made by Optiom's human hiring team.


We thank all applicants for their interest; only those selected for further consideration will be contacted.


Optiom Inc. | Driven by Aviva