
Senior AI and Data Strategist
1 week ago
Our organisation is building a risk management and fatality-prevention software platform for high-risk industries.
The platform helps organisations identify hazards earlier, act decisively, and protect their people.
The Role
As an AI and Data Leader, you will lead teams across AI/ML, Data Engineering, and Data Science to deliver AI-powered product capabilities and transform data into measurable business outcomes.
You'll own the AI/Data strategy and portfolio, set governance for data quality and MLOps, embed responsible AI, and represent AI/Data with customers and the executive team.
Key Responsibilities
- Define and communicate a multi-year AI/Data strategy and a prioritised portfolio tied to product and commercial outcomes.
- Govern delivery through outcome-based OKRs, investment cases, and quarterly portfolio reviews; unblock systemic issues (not task-level execution).
- Oversee data platform and MLOps standards: data governance, lineage, quality SLAs, feature management, model registry, training/serving pipelines, and observability.
- Institutionalise Responsible AI practices (risk assessment, explainability, bias monitoring, human-in-the-loop) and ensure auditability for safety-sensitive contexts.
- Build, develop, and retain high-performing managers and principal talent; set the hiring bar and operating rhythms for a remote organisation.
- Establish strategic partnerships with cloud/data/AI vendors and research groups; represent AI/Data with customers and executives.
Qualifications & Experience (Must-Have)
- 8+ years across data/AI/engineering with significant leadership over managers and senior ICs in SaaS or platform environments.
- Proven record of shipping ML to production with measurable outcomes (adoption, accuracy, revenue/retention, cost efficiency).
- Executive-level command of modern data/AI architectures and MLOps—able to make portfolio and governance decisions at the right altitude.
- Responsible-AI and privacy/security leadership in compliance- or safety-sensitive contexts.
- Experience institutionalising AI copilot/agentic workflows across analytics/ML engineering with measurable productivity/quality uplift.
- Exceptional communication and stakeholder influence across technical and non-technical audiences (customers, execs, board-level).
How We Work
- Remote within Australia.
- Mission-driven and outcome-focused.
- Competitive salary; strong support for professional development.
- Australian work rights required.
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