Manager, Data Engineering | Cloud & AI Strategy | Questrade Financial Group Toronto, Ontario

I lead data engineering and AI strategy at scale, building platforms that turn raw data into business decisions. My work sits at the intersection of cloud infrastructure, AI/ML enablement, and product thinking.

I believe AI PMs should not just write PRDs. They should ship.

https://github.com/wanwrick/work-os-template

A portable, self-contained knowledge management system that turns Claude into an AI work partner. 29 files. Zero external dependencies. Built for PMs and leaders who want AI that knows their business context, not just generic answers.

Fork it, customize it, make it yours.

https://github.com/wanwrick/medallion-pipeline

Production-grade Medallion Architecture (Bronze/Silver/Gold) on Databricks. DLT, CDC, SCD Type 2, Unity Catalog governance, and Asset Bundles. The data engineering foundation that modern AI products are built on top of.

• Building scalable, production-ready data platforms for AI products
• Exploring agentic AI workflows and MCP integrations for PM productivity
• Developing frameworks that make AI practical, not theoretical, for business teams
• Bridging the gap between data engineering and AI product management

Data and Cloud: Databricks, Azure, Apache Spark, Delta Lake, dbt, Unity Catalog

AI and Automation: Claude, LLMs, Agentic workflows, MCP, RAG

PM and Strategy: Product Strategy, OKRs, Data Governance, Team Leadership

The best AI PMs have practical knowledge of AI engineering, not just theoretical understanding. They do not just define the roadmap; they understand the architecture that makes it possible.

Tools are only as good as the person using them. AI is just another tool.

LinkedIn: https://www.linkedin.com/in/paroz-mehta/ GitHub: https://github.com/wanwrick Location: Toronto, Ontario

A GitHub speaks louder than titles.