5 дней назад
Head of Product Platform - AI & Data
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Head of Product Platform - AI & Data (AI/Data Platforms): Leading the strategy, roadmap, evolution, and delivery of enterprise AI and Data platforms with an accent on scalable self-service capabilities, responsible AI, governance, and modern cloud architecture. Focus on evolving AWS and AgentCore adoption, Snowflake and DataOps capabilities, legacy warehouse migration, and leading two dedicated platform teams.
Location: Hybrid, with 3 days in the office and 2 days working from home per week for full-time employees. The role supports ’s vision of becoming Australia’s leading digital insurer.
Company
is a global insurance organization undergoing digital transformation across AI, data, technology, and sustainability.
What you will do
- Lead the enterprise AI and Data platform strategy, technical roadmaps, and investment priorities.
- Enable AI and Data product squads with scalable, reusable, self-service capabilities, controls, patterns, and accelerators.
- Drive the evolution of the AI platform, including AWS, AgentCore, responsible AI controls, model and agent governance, monitoring, and scalable deployment patterns.
- Lead the Data platform evolution across Snowflake, DataOps standards, batch and real-time capabilities, data products, and migration from legacy data warehouses.
- Lead and develop two dedicated platform teams across AI and Data while strengthening engineering maturity and accountability.
- Partner with engineering, architecture, security, risk, delivery, product, and business leadership to drive adoption and enterprise outcomes.
Requirements
- Significant leadership experience across AI, Data, Analytics, technical products, or platform engineering, including ownership of enterprise-scale technology platforms.
- Strong knowledge of modern data architecture, engineering, cloud-native services, and enterprise platform operating models.
- Demonstrated experience with AWS and modern AI and Data technologies.
- Experience with technical roadmaps, investment prioritization, governance, reusable capabilities, and platform sustainability.
- Proven experience leading technical teams and influencing engineering, product, business, and executive stakeholders.
- Strong executive communication, stakeholder leadership, and commercial judgment.
Nice to have
- Exposure to Generative AI, Agentic AI, Snowflake, DataOps, MLOps, dbt, observability, and responsible AI.
Culture & Benefits
- Hybrid working arrangement with 3 office days and 2 work-from-home days per week for full-time employees.
- Five weeks of annual leave and 15 days of personal/carer’s leave for permanent staff.
- Access to Family Care, wellbeing programs, an AUD 500 annual wellbeing payment, and an AUD 295 work-from-home setup voucher.
- Training and development programs, global mobility opportunities, and diverse and inclusive teams.
- Volunteer opportunities and access to state-of-the-art Green Star-rated offices.
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