Head of Data

Overview

This senior leadership role offers an experienced data professional the chance to build and scale a top-tier data function within a fast-growing tech company based in the United States. The position is fully remote and includes a competitive salary range from $150,000 to $300,000 per year plus equity.

Role Summary

As Head of Data, you will oversee the entire data ecosystem including architecture, analytics engineering, reporting, governance, and data reliability. You will set standards, develop systems, and create processes that enable cross-functional teams to make confident, data-driven decisions. Collaborating with engineering, product, operations, and business stakeholders, you'll convert complex data into actionable insights and scalable infrastructure. This role demands a balanced combination of strategic leadership and hands-on technical capability.

Key Responsibilities

• Own the full data infrastructure from ingestion to cloud warehouse architecture, transformation frameworks, analytics platforms, integrations, data quality, monitoring, and access permissions.
• Define and implement a long-term strategy for the data platform emphasizing scalability, reliability, and alignment with business objectives.
• Lead and grow the data team by mentoring current members, recruiting new talent, and fostering a high-performance engineering culture.
• Implement robust data governance practices ensuring well-defined metrics, clear ownership, and comprehensive documentation.
• Develop and maintain scalable dbt models, analytics pipelines, and reporting frameworks enabling accurate self-service analysis.
• Enhance data reliability with monitoring, quality assurance, incident handling, performance tuning, and cost management.
• Partner with engineering teams to establish data contracts, improve product instrumentation, and guarantee smooth data flow into analytics systems.
• Collaborate with business units across growth, product, operations, finance, and customer teams to define meaningful KPIs that enhance decision-making.
• Create experimentation and analytical methodologies to guide informed product and business strategies.
• Build foundational data systems to support compliance, reporting, and evidence needs for impactful technology and healthcare initiatives.
• Manage vendor relationships for data technologies and optimize tools, processes, and investments as the organization expands.

Required Qualifications

• At least 5 years of practical experience in data roles coupled with a minimum of 3 years leading data teams.
• Expertise in SQL and dbt, capable of scrutinizing complex models, troubleshooting data issues, and applying rigorous modeling standards.
• Experience with modern data platforms, including data ingestion, cloud data warehousing, transformations, analytics, and monitoring tools.
• Strong understanding of data engineering principles such as orchestration, incremental processing, dependency management, backfills, reliability, and quality controls.
• Proven ability to architect clear, maintainable, and scalable data models with solid documentation, ownership, testing, and governance standards.
• Skilled at converting business objectives into meaningful metrics related to growth, retention, revenue, customer behavior, and operational performance.
• Capability to lead strategically while remaining technically hands-on, reviewing architecture, code, and analytics workflows.
• Effective stakeholder management skills with the confidence to challenge unclear data metrics and advocate for better decision frameworks.
• Experience implementing data reliability practices including monitoring, alerting, ownership, and incident response protocols.
• Excellent communication skills enabling influence at senior leadership levels across technical and business functions.
• Familiarity with cloud data platforms such as Redshift or similar technologies preferred.
• Experience with analytics collaboration tools like Hex or equivalent is a plus.
• Background in consumer products, subscription models, healthcare technology, regulated sectors, or rapidly scaling companies is advantageous.

Benefits and Perks

• Comprehensive compensation package ranging between $150,000 and $300,000 annually, including equity participation.
• Work fully remotely with flexibility around location and timezone.
• Inclusive healthcare coverage where applicable.
• Paid time off policy guaranteeing a yearly minimum plus local public holidays.
• Annual budget for personal development including books, courses, and coaching.
• Annual wellness allowance to support fitness activities, health applications, and personal well-being.
• Biweekly health coaching available at no cost.
• Company-provided MacBook and home office equipment as needed.
• Opportunity to influence team culture, operational processes, and technological infrastructure in an early-stage setting.

Additional Information

Applications are managed by a partner company responsible for progressing candidates. The recruitment process includes AI-assisted matching to ensure objective evaluation based on core requirements. Final hiring decisions are made by human reviewers. Candidate data is processed under relevant data protection laws with rights to access, rectify, or object. AI tools may be used to analyze applications, but do not replace human judgment.