6 months ago
Toronto, CanadaSenior
Responsibilities
- Design and deploy AI agents that monitor business performance and proactively surface actionable insights.
- Architect analytics systems that anticipate business needs and distinguish meaningful signals from noise.
- Create conversational natural-language interfaces and semantic layers for business data access.
- Build data models, automated analysis workflows, pattern detection systems, and AI agent interactions.
- Connect insight generation to recommended actions and establish feedback loops to improve AI systems.
- Identify high-value AI automation opportunities and implement end-to-end solutions using Claude, custom agents, and modern AI tooling.
- Measure business impact based on decisions influenced and help define the direction of an Agentic Analytics team.
- Mentor analysts or engineers, influence senior stakeholders, and build scalable systems and processes.
Requirements
- 5+ years of experience in analytics, data science, or data engineering with increasing scope and ownership.
- Expert-level SQL skills, including designing complex data models and optimizing data for human and AI consumption.
- Strong Python proficiency for data engineering, automation, and AI agent development.
- Experience with modern data warehouses such as Snowflake or BigQuery and data tools such as dbt and Airflow.
- Hands-on experience building and deploying AI agents or LLM-powered applications in production.
- Deep understanding of LLM capabilities, limitations, and prompt engineering best practices.
- Experience architecting semantic layers or natural-language interfaces for data access.
- Ability to identify high-return automation opportunities and ship complete solutions.
- Track record of using analytics to drive measurable business impact and influence decisions.
- Ability to translate ambiguous cross-functional business problems into technical solutions and operate autonomously.
- Experience mentoring analysts or engineers and influencing senior stakeholders across teams.
- Experience operating in ambiguity, shaping strategy, and building systems that scale beyond the individual.
- Preferred experience includes real estate, fintech, marketplace businesses, marketing analytics, sales operations, product analytics, pricing or economics, technical project leadership, or small-team leadership.
Categories
AI ApplicationsData Engineering
About Opendoor
Opendoor builds a digital platform for buying and selling homes, offering instant cash offers to sellers and self-serve tools for buyers to tour and purchase. The company makes money by purchasing homes, reselling them, and providing related real estate services. Founded in 2014 and headquartered in San Francisco, Opendoor is a public company traded on NASDAQ (OPEN) and operates across many U.S. housing markets.