Note: The job is a remote job and is open to candidates in USA. Articore Group is seeking a Director, Data Engineering to unify its data-related teams under a coherent global strategy, standards, and operating model. The role will lead delivery, people, and technology across data engineering, analytics engineering, martech, and data science, while improving data reliability, consolidating platforms, reducing technical debt, and advancing governance and AI adoption.
Responsibilities
- Set direction for data technology across the group, coordinating roadmaps across data engineering, analytics engineering, martech, and data science to unlock key business initiatives
- Own prioritization across OKR-driven initiatives, ad-hoc requests, and platform work — owning intake and planning, and making the case for tradeoffs directly to the executive team
- Build the architecture behind reliable, business-critical pipelines: SLAs per layer, and technical debt retired to the point teams can trust the data they run the business on
- Coordinate with adjacent teams, including product and other engineering functions, to align roadmaps and land cross-functional initiatives
- Hire and build out the data organization, including key hires across Australia, the US, and India
- Manage engineering managers directly, with skip-level visibility into technical leads. Set clear ownership and handoff practices so no region waits on one person or timezone
- Partner with each manager on the practices that make execution predictable — sprint planning, delivery rituals, and reporting
- Own performance, development, and comp conversations at the manager layer, and calibrate standards across four functions without erasing what makes each work
- Steward technical direction across the full data stack, and consolidate technology to reduce cost while improving reliability and simplifying systems
- Drive architectural decisions on data flows between systems, the warehouse, and downstream analytics — balancing reliability, scalability, and delivery speed
- Own data governance and privacy practices — classification, retention, and data subject requests — aligned to GDPR, CCPA, and equivalent frameworks
- Champion AI across the teams, establishing efficiencies through agentic workflows and automation
Skills
- 8+ years leading data organizations, including at least 3 years managing managers
- Experience leading engineering teams through technological consolidation, including via an acquisition or merger
- Experience owning distinct engineering functions with different stakeholders — martech, data engineering, analytics engineering, and data science
- Direct ownership of a cloud, warehouse, or infrastructure budget, with a clear line of sight into spend, drivers, and savings
- Practical experience with data privacy and compliance frameworks (GDPR, CCPA), and familiarity with the modern data stack (dbt, Airflow, Snowflake)
- A track record of consolidating a fragmented data estate through a full warehouse or platform migration
- AI-first: demonstrable, current experience using agentic AI tooling in production engineering work
- Experience building high-performing global teams across time zones, with clear 'follow the sun' handoffs
- Experience managing Data Science or ML teams is a plus
Benefits
- Health Care Plan (Medical, Dental & Vision)
- Retirement Plan (401k, IRA)
- Life Insurance (Basic, Voluntary & AD&D)
- Paid Time Off (Vacation, Sick & Public Holidays)
- Family Leave (Maternity, Paternity)
- Short Term & Long Term Disability
- Training & Development
- Work From Home
- Wellness Allowance
Company Overview