Jobs at Altus Group

Owns commercial reporting, analyzes business and operational performance, investigates trends and risks, and develops actionable recommendations. The role advances cross-functional initiatives, coordinates stakeholders, supports AI and technology adoption, improves processes, and creates decision-ready dashboards, presentations, and leadership updates across the business.

Leads strategic growth, operational improvement, and technology-enabled innovation initiatives across Valuation Advisory Services. Translates opportunities into executable plans, coordinates cross-functional stakeholders, manages dependencies, and drives implementation and adoption. Owns performance reporting across commercial and operational metrics, establishes accountability rhythms, identifies risks, and provides leadership recommendations. Partners with Product and Engineering on automation and AI opportunities while developing a Senior Analyst and advancing scalable business processes.

Leads strategy, roadmaps, delivery, governance, and commercialization for data and AI-enabled commercial real estate products. Owns third-party data partnerships, licensing, product outcomes, pricing, agile delivery, responsible AI practices, and team leadership. Partners with engineering, sales, marketing, clients, and senior executives while building data products and AI capabilities from concept through scaled production.

Manage a portfolio of existing client accounts as the primary contact for engagement, adoption, retention, and growth. Build trusted relationships, guide onboarding and product adoption, monitor account health, identify expansion opportunities, and collaborate with Sales, Product, Support, and Professional Services. Use CRM and customer success tools to track engagement and inform decisions while delivering strong client outcomes and supporting long-term partnerships.

Develop and test Excel-based commercial and residential real estate valuation products, implement product fixes and enhancements, build automated testing procedures, create dashboards and reporting insights, provide advanced technical support, contribute to new product development, and assist Sales with technical demonstrations.

Leads the development and continuous improvement of global HR Operations, including employee lifecycle processes, HR data governance, reporting, audit readiness, service delivery, documentation, and technology enablement. Partners across HR, IT, Payroll, Finance, and Legal to standardize, automate, and improve processes using Workday, ServiceNow, self-service, chatbot, and AI-enabled solutions.

The Test Analyst designs and executes risk-based manual and automated testing across web applications, APIs, and integrated workflows. Responsibilities include developing testing strategies, maintaining automation and regression suites, conducting exploratory and end-to-end testing, documenting test coverage, identifying defects and risks, collaborating with product and development teams, improving QA processes, and mentoring junior testers. The role also reviews technical changes against quality standards before release.

Translate go-to-market needs into Salesforce requirements, user stories, acceptance criteria, and solution recommendations. Support Salesforce configuration, implementation, testing, user acceptance, workflow improvements, data quality, reporting, dashboards, documentation, training, and change management. Collaborate with business stakeholders, developers, administrators, and enterprise applications teams to deliver practical Salesforce solutions across Sales Cloud, Marketing Cloud, and Revenue Cloud.

Develop and maintain scalable Salesforce solutions using Apex, Lightning Web Components, Flow, and SOQL. Build integrations with enterprise systems, support CI/CD and production releases, participate in code and design reviews, troubleshoot performance and security issues, and contribute to technical standards. Collaborate with architects, business analysts, product teams, and stakeholders. Support AI-enabled Salesforce capabilities such as Agentforce and Einstein while following governance and SOX controls.

Leads global sales compensation strategy and end-to-end incentive plan administration. Responsibilities include plan design, quota methodology, modeling, budgeting, commission payout cycles, audits, reporting, governance, automation, and dispute resolution. Partners with Sales, Finance, HR, IT, Legal, payroll, and leadership to maintain accurate compensation data and scalable processes. Administers Xactly Incent and Analytics, configures plans, develops rules and formulas, supports system enhancements, and communicates plan changes to the sales organization.

Generates and qualifies high-volume outbound sales opportunities for the Scale segment, builds pipeline, conducts discovery and product demonstrations, closes transactional deals, maintains CRM records, and supports revenue targets. The role collaborates with Marketing and Account Management, develops prospect relationships within commercial real estate, follows sales processes, and participates in ongoing coaching and skill development.

Coordinates commercial real estate valuation delivery, reviews internal and third-party appraisals for USPAP and regulatory compliance, analyzes market data and valuation assumptions, completes valuations across property types, and mentors analysts. The role also manages client, appraiser, analyst, and global service center coordination, supports appraisal issue resolution, allocates work, and improves delivery processes.

Conduct commercial real estate market research across Greater Montreal by collecting, validating, analyzing, and publishing transaction, listing, development, and property data. Build relationships with industry stakeholders, perform outreach and site visits, contribute to market reports and newsletters, and maintain data quality. Use GIS, CRM, analytics platforms, and AI tools to improve research efficiency, identify trends, validate information, and support client-facing market intelligence.

Manages quarterly valuation processes for institutional real estate funds, including appraisal management, client communications, project delivery, and review of third-party appraisal reports for USPAP and state regulatory compliance. The role requires advanced Excel and VBA skills, financial modeling expertise in ARGUS, data visualization capabilities, and experience in commercial real estate valuation, asset management, acquisitions, or underwriting. It also includes reviewing junior staff work, mentoring, and managing client deliverables.

Designs, develops, and operates complex AWS-native software systems. The role owns technical architecture, production coding, testing, code reviews, observability, and operational excellence. It also builds AI agents and agentic workflows, develops LLM evaluation and regression-testing frameworks, creates data pipelines and ETL workflows, and applies infrastructure as code and AI-assisted development practices. The engineer provides technical leadership and collaborates across teams to deliver scalable, secure, reliable software.

Research commercial real estate transactions through stakeholder outreach, property site visits, broker reports, and secondary sources. Prepare, validate, audit, and update market data in internal systems; resolve data quality issues and client inquiries; and build relationships with industry professionals. The role requires strong analytical, organizational, communication, and relationship-building skills, proficiency with Microsoft Office applications, a relevant university degree, commercial real estate exposure, and a valid driver's license.

Provides technical leadership for a scalable data engineering platform on Databricks. Designs reusable frameworks, production pipelines, engineering standards, monitoring, and operational practices using Python, SQL, and Spark. Partners with Architecture, Data Science, ML Engineering, Product, and technology teams to integrate data capabilities, translate commercial real estate requirements, mentor engineers, conduct code reviews, and influence cross-team technical direction.

Designs, builds, and operates scalable batch and streaming data pipelines and cloud data infrastructure using Databricks and related technologies. The role focuses on data modeling, orchestration, quality checks, lineage, monitoring, access controls, and reusable engineering frameworks. The engineer partners with Data Scientists, ML Engineers, and platform teams, contributes to architectural decisions and technical standards, troubleshoots production issues, reviews code, documents practices, and mentors junior engineers.

Research residential real estate markets in Calgary and Edmonton by validating, updating, and auditing secondary market data. Review broker reports, government websites, press releases, and stakeholder information; resolve data issues; support primary research; maintain historical records; respond to client inquiries; and conduct site visits and industry networking. The role requires strong analytical, data-entry, organizational, communication, and relationship-building skills, along with proficiency in Microsoft Office applications.

Lead valuation review engagements across EMEA, manage client relationships, review ARGUS and Excel valuation models and DCF analyses, produce market research and reports, mentor junior staff, and support process improvements and training.