Head of Data Infrastructure

Head of Data Infrastructure & Analytics (Fully Remote) 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. 1. 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 bulletproof pipelines than polish executive decks, this is your role. 2. 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 3. 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. 4. Own the Technical Stack That Prevents Fires, Not Fights Them 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 Firefighter 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) Ready to Shape Your Story? Click “Apply” and take the first step. Referrals increase your chances of interviewing at Puffy by 2x Seniority level Director Employment type Full‑time Job function Analyst, Management, and Marketing Industries Retail #J-18808-Ljbffr