Job Overview
Location
Canada
Job Type
Full-time
Category
Data Science
Date Posted
May 7, 2026
Full Job Description
đź“‹ Description
- • As the AI Data Platform Lead at Agiloft Inc., you will serve as the foundational technical role within AI Operations, responsible for designing, building, and governing the cross-departmental data infrastructure that powers the company's AI transformation. This role is critical to enabling AI-driven capabilities such as GPT assistants, AI agents, predictive analytics, and real-time operational intelligence by ensuring data is trustworthy, well-modeled, and fit for purpose.
- • You will own the full data engineering scope required to make the Data Warehouse Foundation serve not only business intelligence and reporting but the complete spectrum of AI use cases, acting as the prerequisite for all downstream data consumers including BI and reporting functions to operate effectively.
- • You will work within the AI Operations team, reporting to the VP of AI Operations, and collaborate closely with the Principal Data and Integrations Architect — focusing on the semantic and functional layer of data (what the data means, how it is modeled, and how it connects to AI systems) while they focus on infrastructure (pipelines, integrations, platform reliability).
- • In this role, you will deepen your expertise in AI-ready data modeling, data governance, and semantic layer design, gaining direct impact on how intelligent systems across the organization consume and act on data — positioning you at the forefront of AI infrastructure in a high-growth, innovative SaaS environment.
🎯 Requirements
- • Experience designing and implementing data models optimized for AI and analytics consumption, including dimensional modeling, semantic layer design, and feature engineering for machine learning
- • Proficiency in building and managing data pipelines using modern ETL/ELT tools and orchestration platforms (e.g., Airflow, dbt, Fivetran, or similar)
- • Strong understanding of data governance, data quality frameworks, and metadata management to ensure data is trustworthy and fit for AI use cases
- • Experience working with data warehouses (e.g., Snowflake, BigQuery, Redshift) and familiarity with SQL and Python for data transformation and analysis
- • Ability to collaborate with cross-functional teams including data scientists, AI engineers, and business stakeholders to translate AI use cases into data requirements
- • Background in a SaaS, technology, or product-driven environment with exposure to AI/ML systems or intelligent applications
🏖️ Benefits
- • Opportunity to work on cutting-edge AI infrastructure at a leader in the contract lifecycle management (CLM) space, recognized by Gartner, Forrester, and IDC
- • Flexible work environment supporting work/life balance, including floating holidays and quarterly no-questions-asked wellness days
- • Access to Employee Resource Groups (ERGs) and a culture that values authenticity and inclusion, guided by the philosophy that 'EX = CX'
- • Professional growth in a high-impact role at a growing, successful company with a strong customer renewal rate (97%) and near-universal satisfaction with implementations
- • Exposure to advanced AI use cases including GPT assistants, AI agents, and predictive analytics within a real-world enterprise setting
- • Collaboration with a talented AI Operations team and direct reporting to the VP of AI Operations, offering strategic visibility and mentorship
Skills & Technologies
About Agiloft Inc.
Agiloft Inc. provides AI-enabled contract lifecycle management and workflow software for enterprises, governments, and mid-market organizations. Its no-code platform automates contract creation, negotiation, approval, compliance, and renewal processes across legal, procurement, sales, and IT functions. The company was founded in 1991 and is headquartered in Redwood City, California, with additional offices in London and Austin. Agiloft serves Fortune 500 companies and public sector agencies globally, offering integrations with Salesforce, Microsoft, and other enterprise systems. The company is privately held and backed by FTV Capital.
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