About the role
Responsibilities:
- Define the AI product strategy, vision, and long-term roadmap aligned with business goals.
- Identify, evaluate, and prioritise AI use cases based on business value, feasibility, data readiness, and potential impact.
- Lead the end-to-end product lifecycle, from discovery and solution design to development, launch, adoption, and continuous improvement.
- Oversee enterprise AI and data product portfolios, including investment priorities, delivery performance, risks, and business outcomes.
- Establish product delivery standards covering security, data privacy, responsible AI, governance, scalability, reliability, and cost optimisation.
- Drive product adoption and measurable business value through product analytics, operational insights, and stakeholder feedback.
- Lead and develop cross-functional teams comprising AI Product Owners, AI Engineers, Software Engineers, and DevOps Engineers.
- Partner with senior business leaders, technology stakeholders, and external vendors to ensure successful product delivery and operational excellence.
- Present product strategy, progress, risks, and investment recommendations to executive leadership.
Requirements:
- Bachelor's degree in Computer Science, Engineering, Information Technology, Business, or a related field.
- A relevant postgraduate qualification is preferred.
- 12+ years of experience in technology, digital product management, or digital transformation, including at least 5 years in a senior leadership role.
- Proven experience leading enterprise AI, data, or digital product portfolios from strategy and investment through delivery and operations.
- Strong understanding of AI product development, product lifecycle management, and enterprise technology delivery.
- Experience managing multidisciplinary teams, executive stakeholders, strategic partners, and technology governance.
- Strong expertise in product portfolio management, business value realisation, and strategic prioritisation.
- Knowledge of responsible AI, data governance, cybersecurity, and risk management.
- Certifications or executive education in AI, Product Management, Cloud, Architecture, or Digital Transformation are an advantage.