Alejandro
Coy

Director, Velocity Lab — Applied AI
Alberta Investment Management Corporation (AIMCo)

I lead an applied AI lab at a C$200B+ institutional investor, taking agentic AI from pilot to production — secure, evaluated, always with a human in the loop.

Portrait of Alejandro Coy

About

From pilot to production, responsibly

As part of AIMCo's enterprise transformation I helped build the modern data platform — Databricks, dbt, Soda, Atlan, Power BI — and shaped the data-mesh methodology that standardizes how we build and scale data products. Now I lead Velocity Lab, where we're using AI agents to collapse the friction in that delivery process itself: an orchestrator routing work to specialized agents, governance and human review built in from day one.

01

Agentic AI in production

Secure, evaluated agents with humans in the loop — from first pilot to full security alignment and production deployment. The north star: an orchestrator that absorbs handover-heavy delivery work while experts review every output.

02

Data platforms & mesh

Modern lakehouse platforms and data-mesh practices that let front, middle, and back-office teams build on governed data products.

03

Enablement & leadership

Turning one-off wins into repeatable patterns — training and co-development models so business teams ship safely on their own.

Experience

Where I've made an impact

Sep 2026 — Present

Director, Velocity Lab

Alberta Investment Management Corporation (AIMCo) · Calgary

  • Lead the applied AI lab building governed, human-in-the-loop agents for the Data & AI team.
  • Building an agent orchestrator that routes delivery work to role-specialized agents — collapsing seven handover roles toward three, with every agent output reviewed by a human expert.
  • Took the lab's first agent to production with full security alignment in 2026.
  • Piloted 9 AI-assisted workflows, cutting data-quality and governance tasks from days to minutes.

Jan 2026 — Aug 2026

Director, Data Enablement

Alberta Investment Management Corporation (AIMCo) · Calgary

  • Lead delivery of data products serving front, middle, and back-office teams at a C$200B+ investor.
  • Shape the data-mesh methodology that standardizes how teams build, own, and scale data products.

Aug 2023 — Jan 2026

Senior Manager, Data Enablement — Data & AI

Alberta Investment Management Corporation (AIMCo) · Calgary

  • Supported architecture and build of the modern data platform: Databricks, dbt, Soda, Atlan.
  • Co-created the data delivery methodology adopting data-mesh principles across the organization.
  • Led GenAI and ML adoption within the Data & AI team — agentic workflows and automation.
  • Designed training programs accelerating self-service adoption by business teams.

Oct 2022 — Aug 2023

Senior Manager, Data Science

Alberta Investment Management Corporation (AIMCo) · Calgary

Mar 2021 — Oct 2022

Data Scientist / Senior Data Specialist

Alberta Investment Management Corporation (AIMCo) · Calgary

  • NLP automation reporting pipeline cutting reporting turnaround time by 80%.
  • Automated weekly reporting (SQL → Python, Power BI, Power Automate) — 60% less manual work.
  • Led automation design for four treasury processes, saving 75% of process time on average.
  • Led the POC adopting Databricks and Snowflake; implemented CI/CD and DevOps for analytics.

Aug 2019 — Mar 2021

Process Engineer (EIT)

Rangeland Engineering · Calgary

  • Designed 8 salt-mined hydrocarbon storage caverns; novel hydraulic modeling with gas-cap operation.
  • Debottlenecked an NGL fractionation unit; built an interactive Python app for cavern sizing.

Jan 2014 — Aug 2019

Technology Development Engineer (EIT)

PC-CUPS Ltd. · Calgary

  • Bridged 10 years of lab data to a 140 bbl/day in-situ upgrading field pilot — simulation, P&IDs, equipment design, HAZOPs.
  • Built MySQL sensor database and Power BI dashboards for pilot analytics.

Jan 2013 — Oct 2017

Technology Development Engineer & Advanced Researcher (EIT)

University of Calgary · Calgary

  • Managed heavy-oil upgrading pilot plants; supported research of 20+ MSc/MEng/PhD students.
  • Cut report preparation time 50% through automated data analysis.

Skills

The toolkit

AI & Agents

Agentic AIMCPAzure AI FoundryAgent BricksMLflowLLM evaluationHuman-in-the-loop

Data Platform

DatabricksSnowflakedbtSodaAtlanPower BIData mesh

Languages & Engineering

PythonSQLCI/CD & DevOpsPower AutomateProcess simulation

Domain

Process engineeringHeavy oil & upgradingFacilities operationsInvestment data

Highlights

Selected wins

Applied AI · 2026

First governed AI agent in production

Led Velocity Lab's first agent from concept through full security alignment to production — the template for governed agents at AIMCo.

Applied AI · 2026

9 AI-assisted workflows piloted

Data-quality and governance tasks that took days now take minutes — evaluated, with human oversight built in.

Data platform

Data-mesh delivery methodology

Co-created the standardized way AIMCo's teams build, own, and scale data products on the modern lakehouse.

Automation

Reporting turnaround −80%

NLP-powered automation pipeline plus SQL-to-Python reporting automation that removed 60% of manual work.

Education

Always learning

M.S. Data Science

The University of Texas at Austin · 2021 — 2024

M.Sc. Petroleum Engineering

University of Calgary · 2010 — 2012

Machine Learning Engineer Nanodegree

Udacity · 2019

B.Sc. Chemical Engineering

Universidad de los Andes · 2004 — 2009

Publications & patents

  • Experimental simulation of a hot fluid injection process for in-reservoir upgrading. (M.Sc. thesis)
  • Catalyst preparation unit for use in processing of heavy hydrocarbons. (Patent)
  • Cristancho, D. E., Coy, L. A., Hall, K. R., & Iglesias-Silva, G. A. (2010). An alternative formulation of the standard orifice equation for natural gas. Flow Measurement and Instrumentation, 21(3), 299–301.

Contact

Let's work together

Always happy to talk about applied AI, data platforms, and the path from pilot to production.

Calgary, Alberta, Canada · English & Spanish