Ads AI Analytics Lead II

📋 Description

• Define ad data frameworks, ontologies, and metrics across campaigns and assets.
• Build and maintain data models, datasets, and analytics pipelines with scalable engineering.
• Develop AI agents to analyze ads, diagnose issues, and improve campaigns.
• Design retrieval-augmented workflows (search, ranking, grounding, evaluation) for AI insights.
• Create and optimize agent reasoning systems, tools, and governance with safeguards.
• Establish evaluation frameworks and dashboards to measure quality, accuracy, latency, cost, impact.
• Run experiments and A/B tests to quantify improvements in advertising metrics.
• Collaborate with product, engineering, data, sales, and business teams.
• Own end-to-end projects from data infra and modeling to AI logic, deployment.
• Improve operational efficiency via automation, tooling, and AI workflows.

🎯 Requirements

• 4–7 years in analytics engineering, data science, or applied AI.
• Advanced Python and SQL; experience building production data/AI solutions.
• Experience with advertising, retail, or e-commerce data.
• Hands-on dbt and cloud platforms (Snowflake/BigQuery) with modeling, testing, governance.
• Experience with Airflow-like tools for data pipelines and reliability.
• Design and evaluate experiments and A/B tests to measure impact.
• Strong knowledge of ROAS, CPA, CTR, CVR, LTV, pacing, and auctions.
• Experience delivering production data/AI systems with measurable outcomes.
• Familiarity with AI evaluation methods, guardrails, retrieval workflows, and human-in-the-loop.
• Experience with BI tools such as Looker, Tableau, Mode, or Power BI.
• Bachelor’s degree in CS/Engineering/Statistics or equivalent.
• Experience building AI-powered products, agents, retrieval systems, or retail media assets is a plus.

🎁 Benefits

• Competitive CA$140,000–CA$148,000 base salary.
• Eligibility for equity grants and annual refresh opportunities.
• Flexible remote work model for eligible Canadian provinces.
• Opportunity to build AI solutions with direct impact on ads performance and growth.
• Collaborative, cross-functional environment with product, engineering, data, and commercial teams.
• Access to professional development opportunities and resources.
• Contribute to cutting-edge AI initiatives in a fast-evolving tech environment.