Ads AI Analytics Lead II in Canada Creek, Nova Scotia at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Ads AI Analytics Lead II based in Canada.

This role offers the opportunity to build the intelligence layer behind next-generation advertising solutions powered by AI and advanced analytics.
You will design data models, AI agents, and analytics systems that help teams optimize campaigns, improve performance, and drive measurable business outcomes.
Working at the intersection of advertising, machine learning, data engineering, and product innovation, you will transform complex data into actionable insights.
You will own impactful projects from data pipelines and agent logic to user-facing tools used by business teams every day.
The role provides significant ownership, cross-functional collaboration, and the chance to shape how AI is applied in a fast-growing environment.
This opportunity is ideal for an analytics and AI leader who enjoys solving complex problems, experimenting with new technologies, and delivering real-world impact.

• Define advertising data frameworks, ontologies, and canonical metrics across campaigns, budgets, bids, creatives, audiences, and placements to enable consistent analytics and AI-driven recommendations.
• Build and maintain robust data models, curated datasets, and analytics pipelines using modern data engineering practices, ensuring reliability, quality, and scalability.
• Develop production-grade AI agents that analyze advertising performance, diagnose issues, recommend actions, and improve campaign outcomes.
• Design retrieval-augmented generation workflows, including search, ranking, grounding, and evaluation processes to deliver accurate AI-powered insights.
• Create and optimize agent reasoning systems, tools, and governance frameworks with appropriate human review processes and safeguards.
• Establish evaluation frameworks and monitoring dashboards to measure system quality, accuracy, latency, cost, and business impact.
• Run experiments, A/B tests, and uplift analyses to quantify improvements across advertising performance metrics.
• Partner with product, engineering, data, sales, and business teams to align priorities and deliver scalable AI solutions.
• Own projects end to end, from data infrastructure and modeling through AI logic, interfaces, deployment, and adoption.
• Improve operational efficiency through automation, internal tooling, and AI-assisted workflows.

• 4–7 years of experience in analytics engineering, data science, applied AI, or a related technical field.
• Advanced proficiency in Python and SQL with experience building production-level data or AI solutions.
• Experience working with advertising, retail, e-commerce, or marketplace data.
• Hands-on experience with dbt and cloud data platforms such as Snowflake or BigQuery, including data modeling, testing, documentation, and data governance.
• Experience building and maintaining data pipelines using Airflow or similar orchestration tools, including monitoring and reliability practices.
• Ability to design and evaluate experiments, A/B tests, and statistical analyses to measure business impact.
• Strong understanding of advertising analytics concepts including ROAS, CPA, CTR, CVR, LTV, pacing, auction dynamics, and incrementality.
• Experience delivering production data or AI systems used by business stakeholders with measurable outcomes.
• Familiarity with AI evaluation methods, guardrails, retrieval workflows, and human-in-the-loop processes.
• Experience with business intelligence and visualization tools such as Looker, Tableau, Mode, or Power BI.
• Bachelor’s degree in Computer Science, Engineering, Statistics, or another quantitative discipline, or equivalent practical experience.
• Experience building AI-powered products, agents, retrieval systems, forecasting models, causal inference solutions, or retail media platforms is considered an asset.

• Competitive annual base salary range of CA$140,000–CA$148,000.
• Eligibility for equity grants and annual refresh opportunities.
• Flexible remote work model available for candidates located in eligible Canadian provinces.
• Opportunity to build innovative AI solutions with direct impact on advertising performance and business growth.
• Collaborative environment working with cross-functional teams across product, engineering, data, and commercial functions.
• Access to professional development opportunities and resources to support career growth.
• Ability to contribute to cutting-edge AI initiatives in a rapidly evolving technology environment.