Ads AI Analytics Lead II

• **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.

### Accountabilities

• 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.

### Requirements

• 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.

### Benefits

• 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.