Job Summary
The Senior Manager, AI Product is responsible for managing the development, implementation, and continuous enhancement of AI-powered products and solutions that support the Commercial Business. Working closely with the Head, AI, Commercial, Operations, IT, and external technology partners, the incumbent will translate business requirements into scalable AI products that improve customer experience, operational efficiency, and commercial performance. This role drives end-to-end AI product delivery, from use case identification and solution design to implementation, user adoption, and product optimisation.
Key Responsibilities
- Lead the end-to-end lifecycle management of AI products, from ideation, requirements gathering, solution design, implementation, deployment, and continuous improvement.
- Partner with Commercial, Operations, Key Account Management, Solutions, and IT teams to identify business challenges and translate them into AI-enabled product opportunities.
- Gather and prioritise business requirements, define product roadmaps, and manage AI product backlogs aligned with business priorities.
- Work closely with internal technical teams and external technology partners to develop, configure, test, and deploy AI solutions that meet business and customer needs.
- Coordinate AI product implementation activities, ensuring delivery milestones, timelines, budgets, and quality expectations are achieved.
- Monitor AI product performance through defined KPIs, user feedback, and business outcomes, recommending enhancements to maximise value and user adoption.
- Support the integration of AI solutions with existing enterprise systems, business applications, and operational workflows.
- Conduct user acceptance testing (UAT), validate business requirements, and ensure AI products meet operational and commercial expectations before deployment.
- Collaborate with IT, Data, and AI teams to ensure data quality, system performance, security, and compliance with AI governance standards.
- Drive user adoption by developing training materials, conducting product demonstrations, and supporting change management initiatives.
- Work with the Head, AI to evaluate new AI technologies, platforms, and product opportunities that strengthen business capabilities.
- Manage relationships with AI vendors, implementation partners, and solution providers to ensure successful product delivery and ongoing support.
- Analyse business performance, customer feedback, and market trends to identify opportunities for new AI products and product enhancements.
- Prepare project updates, product performance reports, implementation status, and recommendations for management review.
- Promote best practices in AI product management, agile delivery, and continuous innovation across the organisation.
Requirements
- Bachelor's Degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, Engineering, Business, Supply Chain Management, or a related discipline.
- Minimum 8 years of relevant experience in AI product management, digital products, enterprise technology, software implementation, business applications, or related fields, with at least 3 years in a managerial role.
- Proven experience delivering AI, Generative AI, machine learning, intelligent automation, analytics, or digital products from concept through implementation.
- Strong understanding of AI product lifecycle management, Agile methodologies, product roadmap development, and user-centric solution design.
- Experience working with cross-functional teams comprising business users, IT, data engineers, AI engineers, and external technology partners.
- Strong knowledge of AI technologies, including Generative AI, LLMs, machine learning, intelligent automation, enterprise AI platforms, APIs, and workflow automation.
- Familiarity with AI governance, responsible AI practices, data privacy, and enterprise technology implementation.
- Experience defining product requirements, managing product backlogs, and prioritising AI use cases based on business value.
- Strong analytical and problem-solving skills, with the ability to interpret business requirements and convert them into practical AI solutions.
- Excellent stakeholder management and communication skills, with the ability to engage business users, technical teams, and senior management.
- Commercial mindset with an understanding of logistics, supply chain, customer engagement, or enterprise business processes is an advantage.
- Self-motivated, customer-focused, and passionate about emerging AI technologies and continuous product innovation.
