Head of Data - Following Australian hours!

Head of Data & Engineering (Remote – APAC Hours)
Location: Fully Remote (must overlap with Australian business hours)
Compensation: ~AUD $150K fully inclusive
Employment Type: Full-Time, Direct Hire
Experience Level: 7–10 years preferred
About the Company
Our client is a fast-growing consultancy focused on building scalable growth systems through data, automation, AI, and marketing technology. They partner with ambitious companies to design and implement modern data infrastructure, customer lifecycle systems, and AI-enabled operational workflows. This is a highly hands-on leadership role for someone who enjoys solving technical problems directly, working closely with clients, and leading distributed technical teams in fast-moving environments.

The Role
We’re looking for a Head of Data & Engineering who combines deep technical execution with strong client-facing communication skills. This is not a purely strategic or management-only role — you’ll be expected to actively contribute to architecture, implementation, troubleshooting, and delivery. You should be comfortable jumping into code, pipelines, CDPs, and automation workflows yourself when needed.

You’ll lead client engagements end-to-end while helping shape the company’s technical direction across data engineering, AI-enabled delivery, customer data platforms, and marketing operations. What You’ll Be Doing
Technical Leadership & Delivery
Design and implement modern data architectures, pipelines, and customer data systems

Own solution architecture across ingestion, warehousing, transformation, and activation layers

Work hands-on with engineering implementation, integrations, and troubleshooting

Define standards for event tracking, attribution, CDP architecture, and reporting

Evaluate and implement AI-powered workflows and automation opportunities

Client Engagement
Lead technical discovery, scoping, and solution planning with clients

Translate complex technical concepts into clear business language

Serve as a trusted advisor for both technical and non-technical stakeholders

Support technical pre-sales conversations and solution proposals

Team & Process Leadership
Lead and mentor a distributed technical team across multiple regions

Establish scalable delivery processes and QA standards

Drive AI-first ways of working across the engineering organization

Build reusable frameworks, documentation, and operational playbooks

What We’re Looking For
Required Experience
~7–10 years in Data Engineering, Analytics Engineering, MarTech, or related fields

Strong hands-on engineering background — not just architecture oversight

Experience building and maintaining:
Data pipelines / ETL workflows

CDPs and customer segmentation systems

Marketing automation ecosystems

Event tracking implementations

Attribution and analytics layers

Strong communication and stakeholder management skills

Experience working directly with clients in consulting, agency, or multi-client environments

Comfortable operating in ambiguity and fast-paced environments

Technical Skills
SQL

Python

Node.js

Cloud data platforms / modern data stack

dbt or similar transformation frameworks

CDPs and engagement platforms such as:
Segment

Customer.io

HubSpot

Braze

Klaviyo

Automation tooling (nice to have):
n8n

Make

AI agents / workflow orchestration

Nice to Have
Background in RevOps, MarOps, Growth, or Marketing Technology

Experience in startups, scale-ups, or consulting environments

Strong interest in AI-enabled operational workflows and automation

Working Style
Highly autonomous and proactive

Comfortable balancing leadership with execution

Fast-moving, iterative mindset

Strong ownership mentality

Collaborative communicator across technical and business teams

Hiring Process
Initial Interview (communication, PM, light technical discussion)

Foundational Technical Interview

Take-Home Assignment (3–7 days)

Technical Presentation & Final Interview

Additional Notes
Fully remote role

Must be able to work Australian client hours

APAC candidates strongly preferred due to timezone alignment

Hiring ASAP with onboarding targeted before the end of the month