Head of Data Infrastructure & Analytics (Fully Remote)

Puffy

Ottawa

Remote

CAD 317,881 - 388,521

Full time

14 days+

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Benefits offered by this job

Monthly performance bonuses up to 25%

Comprehensive medical, dental, and vision insurance

Generous Paid Time Off (PTO)

Remote First: work from anywhere

Access to AI-native tool stack

Job summary

A leading e-commerce company is hiring a Head of Data Infrastructure and Analytics to architect systems ensuring data reliability for strategic decisions. This fully remote position emphasizes building data quality infrastructure, implementing automated validation systems, and managing a team to uphold the highest data standards. Candidates should have 7+ years of experience in digital analytics, with expertise in GA4, GTM, and server-side tracking. The role offers a competitive salary and performance bonuses, promoting a culture of excellence and innovation.

Qualifications

7+ years in digital analytics with proven track record of owning data quality in high-stakes B2C environments.
Expert-level knowledge in GA4, GTM, and server-side tracking.
Can diagnose and fix tracking setup errors across the entire stack.

Responsibilities

Audit existing tracking setup and fix every configuration error.
Build automated validation systems that catch bugs before users see them.
Create monitoring and alerting for tracking errors.

Skills

GA4

GTM

SQL

Python

Data observability

Data validation

API integrations

Tools

GA4

GTM

Shopify

Klaviyo

Job description

Head of Data Infrastructure & Analytics (Fully Remote)

Join to apply for the Head of Data Infrastructure & Analytics (Fully Remote) role at Puffy

Position: Head of Data Infrastructure & Analytics

Compensation: Up to USD $200,000 per annum + up to 25% Performance Bonus (Equivalent in local currency, based on your location)

Total Annual Package: Up to USD $254,800

Location: Remote

Role Overview

We're seeking a systems-obsessed data infrastructure leader to architect the analytics foundation that powers strategic decisions across our high-growth D2C business. This role is for builders who get more excited about preventing data disasters than presenting insights.

You’ll take the helm of our e-commerce data operations, leading a team that ensures data reliability drives confident decision-making. Working closely with our Forbes Council Member CEO and cross‑functional teams, you’ll establish the gold standard for analytics operations while enabling data‑driven growth in a competitive global market.

What Is In It For You

This isn’t just another analytics leadership role. This is your chance to become a true industry architect.

Build Systems That Matter, Not Presentations That Don’t

Most analytics leaders spend their days making slides and telling stories. You’ll spend yours architecting infrastructure that handles $24M+ in annual ad spend with zero tolerance for errors. You’ll implement automated validation systems, data observability frameworks, and monitoring that catches bugs before humans see them. You’ll solve data quality problems once, systematically, and watch your systems scale internationally. If you’d rather build bullet‑proof pipelines than polish executive decks, this is your role.

Partner with the 1%

🏆 Top 5 Mattress Brand in US
💡 Work with Forbes Council Member CEO
Gain firsthand exposure to strategic decisions and high‑velocity execution that drives a global brand

Embrace Radical Flexibility

Work from anywhere in the US. Design your peak performance environment. We measure output and impact, not hours logged. Manage your energy, not just your time, while collaborating with a team spanning 14+ nationalities.

Own the Technical Stack That Prevents Fires, Not Fights It

You’ve fought data disasters. Here, you’ll build the systems that prevent them. Architect server‑side tracking for attribution accuracy. Implement data observability that alerts you within minutes, not days. Create the QA processes and validation frameworks that become the industry standard. This is your chance to build the data infrastructure you wish existed at your last company—and scale it for international expansion.

What You’ll Own

Data Quality Infrastructure (Your #1 Priority)

Audit existing tracking setup (GA4, GTM, Shopify, Klaviyo, ad platforms) and fix every configuration error
Build automated validation systems that catch bugs before humans see them
Implement pre‑leadership QA processes with hard gates (reports don’t go out until they pass)
Create monitoring and alerting: know within minutes when tracking breaks, not days later

Technical Architecture & Reliability

Design and maintain server‑side tracking implementation for attribution accuracy
Architect data pipelines that handle $2M+ monthly ad spend tracking without errors
Establish technical standards: "Here’s how we ALWAYS configure X" documentation

Operational Excellence

Build the QA checklist: specific validation steps before any report reaches the CEO
Implement data observability: automated anomaly detection, metric health dashboards
Create runbooks: when X breaks, here’s exactly how to fix it in under 2 hours
Enforce zero‑tolerance culture: accuracy over speed, every time
Manage existing Analytics Manager + 2 Data Specialists with focus on quality over quantity
Train team on proper setup procedures and validation protocols
Say "no" to ad‑hoc requests that compromise data quality
Build scalable processes: solve problems once, systematically

Strategic Projects (Once Quality Is Bulletproof)

Implement advanced attribution models for multi‑channel $24M+ annual ad spend
Scale analytics infrastructure for international expansion

What You’ll Need

Must‑Have Technical Chops

7+ years in digital analytics with proven track record of owning data quality in high‑stakes B2C environments
Expert‑level knowledge: GA4, GTM, server‑side tracking, data pipeline architecture, e‑commerce tracking
Can diagnose and fix tracking setup errors across the entire stack – you don’t just identify problems, you solve them
Strong technical skills: SQL expert (can write complex queries in your sleep), Python or R proficiency for data validation
Data engineering knowledge: Understand ETL/ELT, data warehousing, API integrations, event‑driven architecture
Experience building data quality systems: Automated validation checks, data observability, monitoring frameworks

The Operational Mindset

You’re a builder, not a presenter: More excited about architecting systems than making slides
Zero‑bug mentality: You take it personally when bad data gets through
Process‑driven: You document, systematize, and scale solutions
Comfortable saying no: Protect data quality even when it’s politically inconvenient
Fire‑fighter turned fire‑preventer: You’ve dealt with data disasters and built systems to prevent them

Leadership & Communication

Proven team leadership: Can manage 3+ person analytics team with focus on quality and growth
Can explain technical issues to non‑technical executives without dumbing it down or over‑complicating
Enforce standards: Your team knows accuracy is non‑negotiable
Cross‑functional influence: Work with engineering, marketing, and product to fix data at the source

Red Flags (Don’t Apply If This Is You)

You want to focus on strategic insights and executive storytelling
You prefer analysis over building systems
You think "good enough" data is acceptable
You can’t explain how server‑side tracking actually works
You’ve never built a data validation framework

Good‑to‑Have: You’ve Done This Before

"I reduced data quality incidents by 90% at [Company] by implementing [specific systems]"
"I architected the tracking infrastructure that handled $XXM in ad spend with 99.9% accuracy"
"I built automated validation that caught errors before they reached leadership"
"I led the server‑side tracking migration that solved our attribution problems"

Bonus Points For

Experience with data observability tools (Monte Carlo, Great Expectations, dbt tests)
Background in analytics engineering or data reliability engineering
Track record in high‑growth e‑commerce (sleep, wellness, DTC)
Experience with attribution modeling for multi‑channel marketing
Built data quality systems that scaled internationally

The Puffy DNA

We’re restless, perpetually hungry, and fast‑paced, driven by an unwavering belief that we can outperform any competitor — regardless of their size.

Be the Owner: We don’t hire employees; we welcome owners. You’re accountable for results, not activity.
Execute with Urgency: We thrive in high‑stakes environments by making thoughtful decisions quickly and acting decisively.
Demand Excellence: We solve the hard problems that others can’t, pushing the boundaries of our craft.
Be AI‑First: Daily multi‑turn AI conversations challenge your assumptions.
Go All‑In: When the mission demands it, we rally as one team to cross the finish line.
Monthly performance bonuses (up to 25%)
Comprehensive medical, dental, and vision insurance
Generous Paid Time Off (PTO) + Public holidays
AI First organization with access to AI‑native tool stack
Remote First: Work from the comfort of your home office
International team collaboration (14+ nationalities)