AI Product & Experience Lead

Role Description

The AI Product & Experience Lead: P&C Technology owns the AI roadmap across HR technologies, ensuring AI is embedded into architecture, employee journeys, workflows, and product roadmaps. The role connects business needs, product owners, AI technical teams, and stakeholders to deliver scalable, governed, high-value AI-enabled employee experiences.

This role sits between the AI technical lead, product owners, architecture teams, and business stakeholders. It ensures AI is not delivered as isolated point solutions, but embedded into the broader P&C architecture, employee experience, workflows, data foundations, and product roadmaps.

The role provides product and experience leadership for AI-enabled employee and manager experiences, translating business needs, AI capability, and employee experience opportunities into a coherent, prioritised roadmap.

Key Responsibilities

• Own and drive the AI technology roadmap across the P&C / HR technology landscape.
• Shape the AI-enabled employee and manager experience roadmap across the P&C ecosystem.
• Partner with AI technical leads to translate AI capabilities, patterns, and technical possibilities into practical business and product outcomes.
• Work with P&C product owners to identify, prioritise, and sequence AI opportunities across Talent Acquisition, Talent Growth, Core HR, Learning, Workforce Planning, HR Service Delivery, Employee Experience, and other P&C domains.
• Ensure AI is embedded into the broader P&C architecture and not delivered as disconnected pilots or point solutions.
• Define how AI enables personalised guidance, knowledge discovery, case triage, workflow automation, recommendations, proactive nudges, task execution, and agentic support.
• Engage business stakeholders to understand employee needs, operational pain points, strategic priorities, and value opportunities.
• Translate business opportunities into AI product concepts, use cases, experience journeys, capability requirements, and roadmap items.
• Define and manage the cross-P&C AI opportunity backlog, prioritised by business value, employee impact, feasibility, risk, adoption, and architecture alignment.
• Define MVPs for AI-enabled capabilities to support rapid validation, adoption, and value realisation.
• Work with architecture, data, security, privacy, risk, and platform teams to ensure AI solutions are scalable, governed, secure, and aligned to enterprise standards.
• Identify reusable AI patterns and capabilities that can be leveraged across multiple P&C products and journeys.
• Provide guidance to product owners on how AI can be embedded into their product roadmaps.
• Support AI design principles, experience standards, governance guardrails, and prioritisation criteria.
• Engage senior stakeholders on roadmap priorities, investment decisions, risks, dependencies, adoption needs, and value measures.
• Monitor AI trends, vendor capabilities, and HR technology innovation to inform the roadmap.
• Partner with change and communications teams to drive trust, adoption, and awareness of AI-enabled experiences.
• Track adoption, feedback, product performance, and business value to continuously refine the roadmap.

Qualifications

• Strong understanding of AI-enabled product strategy, digital employee experience, HR technology, product ownership, and enterprise technology roadmaps.
• Good understanding of generative AI, conversational AI, agentic AI, automation, knowledge retrieval, semantic search, AI assistants, and workflow orchestration.
• Ability to translate AI concepts into business capabilities, employee journeys, product roadmaps, and delivery priorities.
• Strong understanding of P&C / HR technology, including employee experience platforms, HR service delivery, talent platforms, learning, workforce planning, skills intelligence, knowledge management, and workflow tools.
• Ability to connect business strategy, employee experience, data, process, architecture, and technology into a coherent AI roadmap.
• Strong stakeholder engagement skills across business, product, technical, architecture, vendor, data, security, privacy, and change teams.
• Strong product thinking, including roadmap development, backlog prioritisation, MVP definition, value-based decision-making, and outcome measurement.
• Ability to identify where AI creates genuine value versus where workflow, process, data, or platform improvements may be more appropriate.
• Strong analytical, communication, storytelling, and problem-solving skills.
• Good understanding of responsible AI, including privacy, security, transparency, human oversight, bias mitigation, and ethical use.
• Ability to operate in a complex, global, matrixed environment with competing priorities.
• Curiosity about emerging AI capabilities and a practical mindset for turning innovation into scalable enterprise value.

Requirements

• Bachelor’s degree or equivalent in Information Technology, Computer Science, Business, Human Resources, Digital Product Management, Data Science, Organisational Psychology, or a related field.
• Relevant certifications in Product Ownership, Product Management, Agile, Scaled Agile, Design Thinking, AI, Data Analytics, HR Technology, Enterprise Architecture, or ITIL would be beneficial.
• AI-related certifications or training in generative AI, responsible AI, prompt engineering, Microsoft Azure AI, or digital transformation would be advantageous.

Required Experience

• Significant experience in product ownership, digital product management, HR technology, AI-enabled transformation, employee experience, enterprise technology strategy, or a related role.
• Experience shaping technology roadmaps across multiple product or business domains.
• Experience working with AI-enabled solutions, digital assistants, automation, workflow, knowledge management, employee experience platforms, or enterprise service technologies.
• Experience translating business needs into product concepts, user journeys, requirements, roadmaps, and prioritised backlogs.
• Experience working with AI technical leads, architects, data teams, security teams, platform teams, vendors, and business stakeholders.
• Experience in a global or multi-country organisation, preferably in technology services, consulting, professional services, HR transformation, or a large enterprise environment.
• Experience with HR technology ecosystems. Exposure to SAP SuccessFactors, ServiceNow, Phenom, learning platforms, workforce planning tools, skills intelligence platforms, employee experience platforms, or AI assistant technologies would be advantageous.
• Experience supporting adoption, governance, and value realisation for enterprise technology products.

Workplace type

Remote Working