Strategic Finance Analytics Manager, Pointclickcare

• University degree in Finance, Business, Economics, or a related quantitative field
• 5–7 years in financial analysis, FP&A, or quantitative/strategic finance in a SaaS or technology environment
• Exceptional financial modelling and scenario-analysis skills, with a demonstrated track record building revenue, profitability, or pricing models and translating them into decision support (the core qualification for the role)
• Hands-on experience applying AI/ML tools (including LLMs and predictive modelling) to accelerate and modernize modelling and reporting workflows — a defining attribute of the role, not a nice-to-have

Desirable

• The Strategic Finance Analytics Manager is a newly created role that builds and leads the financial modelling and analytics capability at the core of PointClickCare’s strategic finance function
• The role delivers the models, tools, and decision support that enable leadership to drive profitability, optimize commercial strategy, and allocate resources with precision — with work that is highly visible to executive leadership, the Board, and investors
• Positioned at the intersection of Finance, Strategy, and Go-to-Market, the near-term focus is Pricing & Monetization Analytics, while the broader mandate is to build scalable analytical frameworks applicable across any strategic finance domain the business identifies
• A defining attribute of the role is the hands-on application of AI/ML to modernize and accelerate modelling, scenario generation, and reporting
• Financial Modelling & Scenario Analysis. Build and maintain in-house financial and profitability models that evaluate the revenue and margin implications of strategic decisions, beginning with pricing and commercial strategy and expanding to other strategic finance domains. Run scenario and sensitivity analyses on packaging, pricing changes, GTM strategies, and investment trade-offs, measured against NRR, ARR, and contribution margin
• AI-Led Modernization of the Analytics Toolkit. Apply AI/ML tools, including LLMs and predictive modelling, to accelerate modelling, scenario generation, and reporting, raising the speed and sophistication of decision support across the function. Build scalable, self-serve analytics tools that give Finance, Pricing, Sales Ops, and business unit leaders consistent, decision-ready intelligence
• Pricing & Monetization Analytics. Evaluate pricing changes through quantitative modelling of customer, revenue, and margin impact across segments and geographies. Track pricing and monetization KPIs (discount compliance, revenue realization, contribution margin) against targets, and quantify the financial impact of commercial governance decisions including pricing policies, discount frameworks, and packaging structures
• Executive & Profitability Reporting. Deliver regular profitability and commercial performance reporting to ELT and GTM leadership, including a measurement framework that tracks strategic initiative effectiveness, monetization outcomes, and contribution margin across products, segments, and geographies. Partner with FP&A and Sales Ops to integrate pricing and profitability analytics into the forecast and planning cycle, and with Revenue Assurance and Finance Ops to remediate pricing-related revenue risks
• Stakeholder Engagement & Decision Support. Act as the primary analytical partner to Pricing, Sales Enablement, and business unit leaders on profitability decisions, translating complex analysis into clear, actionable recommendations. Present findings, models, and recommendations to senior leadership in executive-ready format, and contribute to Board and investor materials covering pricing strategy, monetization performance, and platform progress