Senior Digital Product Manager, Data and Analytics
Role Overview
The organization is evolving from report-driven work toward trusted data, insights, and self-service analytics.
This individual-contributor role turns business needs into product priorities and drives adoption of scalable, reusable data products.
Key Skills for This Role
Full Job Posting
About Armstrong Collective
Armstrong Collective is the parent company of Rocky Mountaineer and Canyon Spirit, creating rail journeys in Western Canada and the American Southwest.
Role Overview
The organization is evolving from report-driven work toward trusted data, insights, and self-service analytics.
This individual-contributor role turns business needs into product priorities and drives adoption of scalable, reusable data products.
Product Strategy and Discovery
- Define and prioritize data and analytics capabilities, portfolio strategy, roadmaps, lifecycle decisions, and reusable products.
- Lead discovery, improve intake and prioritization, assess opportunities, and connect product value to business outcomes.
Product Delivery and Adoption
- Partner with technical teams and business leaders to scope, build, launch, and enhance data products.
- Own user experience and adoption; monitor product performance and use evidence to improve, consolidate, or retire products.
- Promote data literacy and partner with machine learning and artificial intelligence teams.
What You Bring
- Strong product management expertise, ownership, sound judgment, and ability to connect data investments to measurable outcomes.
- Strong relationship-building, communication, facilitation, stakeholder management, analytical, and problem-solving abilities.
- Collaborative, adaptable, curious, and committed to continuous learning and improvement.
Experience and Qualifications
- At least 7 years of Product Management experience, including data, analytics, platform, or enterprise products.
- Experience translating strategy into roadmaps and outcomes; product discovery, stakeholder engagement, adoption, and lifecycle management.
- Strong understanding of data warehousing, modelling, governance, business intelligence, APIs, forecasting, and self-service analytics.
- Experience influencing cross-functional stakeholders and working in modern product operating models and agile delivery environments.
- Cloud data platforms, SQL, machine learning, or artificial intelligence experience is an asset.
Work Environment
- Vancouver-based corporate office with a hybrid schedule requiring at least three days per week in the office.
Compensation and Benefits
- Base salary is $125,000 to $145,000 per annum; eligible for a discretionary bonus program.
- Eligible benefits include employer-paid medical premiums, up to 5% RRSP and/or TFSA match, and two complimentary annual train tickets after the first year.
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