Lead, Customer Strategy Analytics & Applied AI in Canada Creek, Nova Scotia at Jobgether
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Job Description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead, Customer Strategy Analytics & Applied AI based in Canada.
This role sits at the intersection of analytics, strategy, and applied AI within a high-growth, product-led environment. You will help redefine how Customer Success and Customer Support operate by building data-driven systems and AI-powered tools that directly influence retention and revenue growth. Working closely with senior leadership, you will shape customer lifecycle strategy and identify high-impact opportunities across the organization. Rather than focusing only on reporting or insights, you will design and ship production-ready data products and automated workflows. The environment is fast-moving, experimental, and highly cross-functional, with strong emphasis on ownership and execution. This is a senior individual contributor role with broad visibility and the opportunity to influence company-wide customer strategy.
In this role, you will own end-to-end Customer Strategy Analytics and Applied AI initiatives that shape retention, engagement, and customer lifecycle performance across Customer Success and Support.
- Design and deliver data products, predictive models, and AI-powered systems such as churn risk scoring, next-best-action frameworks, and automated retention playbooks.
- Lead strategic analytics efforts across the customer lifecycle, partnering directly with senior leadership to define CS investment priorities and operating models.
- Build scalable analytics infrastructure and workflows that enable teams to act on insights without manual analysis dependency.
- Guide and prioritize work within your analytics pod, shaping execution done by more junior team members and ensuring alignment with strategic goals.
- Develop AI-enabled systems that improve CS and Support efficiency, including engagement scoring, customer health monitoring, and automation pipelines.
- Partner cross-functionally with Product, Sales, RevOps, Enablement, and Analytics Engineering teams to ensure data quality, modeling integrity, and business alignment.
- Drive adoption of AI tools and methodologies across the broader Business Operations function to accelerate analytical output and decision-making.
This role requires a strong blend of analytical depth, technical fluency, and strategic thinking, along with the ability to operate in ambiguous, high-growth environments.
- 5–7+ years of experience in analytics, strategy, operations, consulting, or a hybrid technical-business role.
- Proven track record of shipping data products, machine learning models, or AI-powered systems into production environments.
- Strong quantitative and analytical skills, with familiarity in SQL and/or Python considered a plus.
- Hands-on experience or strong familiarity with applied AI tools and agentic systems (e.g., modern LLM-based tooling).
- Ability to quickly understand Customer Success or Support ecosystems and translate insights into operational impact.
- Self-directed operator capable of owning end-to-end workstreams without heavy scaffolding.
- Strong product mindset with a bias toward building scalable systems over one-off analyses.
- Comfort working in ambiguity, defining priorities, and solving novel problems without predefined playbooks.
- Experience in SaaS, marketplaces, or high-growth tech environments is preferred.
- Restaurant or local business ecosystem exposure is a plus but not required.
- Competitive base salary range of $190,000 – $210,000 (CAD or equivalent, depending on location and structure).
- Generous pre-IPO equity package with strong long-term upside potential.
- Comprehensive health, dental, and wellness coverage.
- Remote-first work environment with flexibility to work from anywhere in Canada.
- Unlimited PTO policy, encouraging rest and work-life balance.
- Additional employee perks designed to support growth, autonomy, and engagement in a high-performance culture.