Senior Digital Product Manager, Data and Analytics

Job Category:
Professional & Business Support

Requisition Number: SENIO
003075

• Full-Time
• Hybrid

Showing 1 location

Armstrong Collective is the parent company of Rocky Mountaineer and Canyon Spirit, creating unforgettable rail journeys through some of the most breathtaking landscapes in Western Canada and the American Southwest. Guided by our values, Create Meaningful Moments, Be One Team, and Achieve Extraordinary Outcomes, we show up every day with pride, ownership, and a shared commitment to excellence. We work hard, support one another, embrace new possibilities, and celebrate growth, all in a respectful and inclusive environment where integrity, collaboration, and passion for the guest experience lead the way.

• Partner with the Director, Data to define and prioritize data and analytics capabilities that support organizational objectives.
• Translate enterprise data strategy into an outcome-based product portfolio, roadmap, and clear lifecycle decisions.
• Identify opportunities to create reusable data products, datasets, and insights that deliver value across multiple teams.
• Balance immediate business needs with long‑term investments in scalable, reliable, and trusted capabilities.
• Define product value, users, measures of success, ownership, and dependencies to ensure alignment with strategic priorities.
• Lead discovery activities to understand business problems, user needs, decisions to be enabled, root causes, and expected value.
• Challenge solution‑focused requests and distinguish between reporting needs, analytical questions, and product opportunities.
• Own and continuously improve intake, prioritization, and decision‑making frameworks.
• Evaluate opportunities based on business impact, strategic alignment, effort, risk, urgency, and potential for reuse.
• Proactively identify opportunities for improvement and recommend data‑driven solutions that advance organizational goals.

• Partner with data engineers, analysts, data scientists, and business leaders to scope, build, launch, and enhance data products.
• Translate business requirements into clear outcomes, product requirements, and acceptance criteria.
• Build trusted relationships through open communication, active listening, follow‑through, and respect for diverse perspectives.
• Adapt communication styles to different audiences and keep stakeholders informed of priorities, trade‑offs, progress, and outcomes.
• Seek feedback, share knowledge, and collaborate effectively to deliver solutions that meet business and user needs.

• Own the end‑to‑end user experience of data products, ensuring solutions are intuitive, trusted, and aligned to decision‑making needs.
• Establish adoption plans that support self‑service analytics through enablement, education, and ongoing user engagement.
• Monitor product performance, including adoption, usability, reliability, data quality, business impact, and realized value.
• Use evidence and feedback to improve, consolidate, or retire products as business needs evolve.
• Promote data literacy, modern product practices, innovation, and continuous improvement across the organization.
• Partner with Machine Learning and Artificial Intelligence teams to ensure data products effectively support analytical and operational use cases.

• Strong product management expertise and the ability to connect data investments to measurable business outcomes.
• Demonstrated ownership, accountability, resilience, and sound judgment when navigating ambiguity and competing priorities.
• Excellent relationship‑building, communication, facilitation, and stakeholder management skills.
• Strong…