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Sean CanadyCIO / CTO Leadership
An architectural system connecting strategy, platforms, and delivery

Technology Executive · CIO / CTO Leadership

Sean Canady

Technology executive focused on CIO/CTO leadership. Over 30 years I've led technology across strategy, architecture, AI, data, engineering, and security. Focused on business and customer outcomes, building teams that deliver, and technology-enabled transformation.

What I do is...

build durable systems.

22%

Year-over-Year Delivery Improvement

70%+

Platforms Migrated to Cloud

$43M

Active Technology Portfolio

157

Technology Team

How I work

Connect strategy to delivery. Make the tradeoffs clear. Build what lasts.

Every role has come back to the same job: tie technology decisions to what the business needs, modernize without breaking what works, and build teams that ship.

AI leadership

Leading AI transformation across the business.

At NYL Direct I lead AI transformation on two fronts: how technology gets built, and how the business runs. I created the business AI transformation program and lead it alongside the shift in engineering.

  • Engineering

    Moving from a traditional SDLC to an agentic development lifecycle (ADLC): governance-first AI adoption for developers across the entire organization, AI-enabled engineering patterns and training, and AI agents delivering real work.

  • Employee enablement

    AI skills and tools for employees, with significant adoption across the organization.

  • Agentic enablement

    Targeted process transformation, with AI agents taking on work inside key business processes.

  • Domain transformation

    Redesigning entire functions end to end to drive growth and efficiency.

The AI and data work I led with my teams earned NYL Direct an Info-Tech Innovator of the Year award.

Experience

A track record of delivery.

From building IT operations at a growing software company to leading technology for New York Life's direct business.

Leaders I've developed

A CIO, a CTO, and several principal architects, plus team members who moved into senior business leadership.

  1. NYL Direct

    2024 – Present

    Leads architecture, AI, data, business technology transformation, engineering enablement, and technology strategy for the direct-to-consumer business of New York Life, the largest U.S. mutual life insurer: a $43M portfolio and 157 technology professionals. Improved delivery 22% year over year, won an Info-Tech Innovator of the Year award for AI and data work, and moved more than 70% of platforms to the cloud, while the business kept growing efficiently in a level-to-declining market.

  2. New York Life

    2010 – 2024

    Built the enterprise architecture practice and led data management across warehousing, governance, and analytics through 14 years of platform modernization, while keeping the business running.

  3. AEGON

    2000 – 2010

    Led enterprise integration strategy and SOA adoption across distributed teams, helping the business modernize without more point-to-point sprawl.

  4. ECI Software Solutions

    1996 – 2000

    Built IT operations and infrastructure from the ground up and laid the technical foundation behind the company's growth and acquisition.

  5. Outside the day job

    2026

    Shipped a personal project most months, including a coaching platform, a leadership development platform, and an open-source life insurance platform.

Projects

Things I have built and explored.

Building hands-on is how I stay connected to what actually works across the technology ecosystem, which matters more than ever in the AI-native era. Each project tests an idea I would otherwise only read about.

Browse the projects

An open-source take on life insurance administration, built to explore what a modern core platform could look like without decades of legacy assumptions.

Next.jsJavaDockerAWS

A machine-readable career profile schema I built after running into the limits of standard resume formats. It also powers this site.

JSON SchemaTypeScriptAINext.js

A brewing dataset and toolset I use for experiments, recipe decisions, and brewing analytics.

Next.jsPythonData ScienceData Analysis

A data-informed portrait of a year, built from health, activity, travel, listening, work, and other personal records without letting AI invent the answers.

PythonPersonal DataData VisualizationAI

Fermentation as a systems problem: process control, repeatable execution, and data-informed iteration applied to beer, cider, and experimental ferments.

HomebrewingFermentation ScienceRecipe Development

Start the conversation

Let's talk about technology leadership.

I'm focused on CIO and CTO leadership in organizations where technology drives business and customer outcomes. If you're shaping that kind of role or agenda, I'd welcome the conversation.