Head of Data & Engineering Talent Matters Full time, fully-remote role Competitive base salary benchmarked to your local Head of/VP-level market rate (ie. salary circa $180K AUD and Super and Performance Bonus) Opportunity to shape the function Our client is a specialist growth consultancy that helps businesses scale through product-led growth, data, and automation by delivering strategy, execution, and embedded expertise to drive measurable, long-term results. They are seeking a Head of Data & Engineering who is a senior technical leader, responsible for solution architecture, client delivery, team leadership, and AI-driven process strategy. This is a hands-on role requiring both strategic oversight and direct technical contribution (coding, architecture decisions, troubleshooting). Key Responsibilities: 1. Client Engagement & Delivery Own end-to-end client relationships (scoping → delivery → advisory). Translate business needs into scalable, well-architected data solutions. Lead technical pre-sales, including proposals and solution design. Ensure delivery quality and proactively resolve issues. 2. Architecture & Technical Leadership Define reference architectures across: Data ingestion Warehousing Transformation Activation Set standards for event tracking, CDPs, attribution models, and BI layers. Make build vs. buy decisions and keep the company at the forefront of AI-enabled data workflows. Stay hands-on with queries, pipelines, and debugging when needed. 3. Team Leadership & Coaching Lead a distributed international team (engineering, MarOps, Webflow). Develop team members into well-rounded technical consultants. Implement structured feedback and performance systems. Integrate AI agents and automation tools into team workflows. 4. AI & Process Strategy Drive an AI-first delivery model across the business. Build reusable frameworks, templates, and playbooks. Ensure AI is embedded in all processes where possible. 5. Internal Operations Own internal data infrastructure and reporting systems. Improve version control, QA, incident response, and knowledge management. To be successful in the role, you will have: 10 years in data or analytics engineering, including 3 years in a VP, Director, or head-of-function role ideally within a consulting environment or start-up / scale up. Hands-on experience as lead architect for modern data platforms: CDPs, data warehouses, ETL/ELT pipelines, attribution models. Strong SQL and Python; cloud data warehouses, dbt (or equivalent), event tracking platforms. Hands-on CDP and customer engagement tool experience (e.g. Segment, , Klaviyo, HubSpot, Braze). Demonstrated ability to manage clients commercially: proposals, scoping, stakeholder management. Track record building distributed technical teams in a multi-client or consultancy environment. Genuine AI-first mindset: active user of AI tooling in daily work. Preferred Experience: Automation tools (e.g., n8n, Make) and AI orchestration Background in growth, MarTech, or RevOps Experience in high-growth or PE-backed companies Role Details & Compensation: Full-time, fully remote (global team across AU, PH, EU) Occasional travel required Competitive base salary benchmarked to your local Head of/VP-level market rate (ie. salary circa $180K AUD and Super) 15–20% performance bonus Additional learning & tech allowance This role will suit you if you are a hands-on technical leader who has built and scaled data systems, thrives in client-facing environments, and can blend engineering, strategy, and AI innovation to drive both delivery excellence and internal transformation. How to Apply: If you are a self-motivated and experienced senior technical leader with a passion for solving problems for clients with confidence, with a strong focus on AI integration, we encourage you to apply for this unique opportunity! Apply for this position now!
