AI Product & Experience Lead P&C Technology

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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.

The AI Product & Experience Lead: P&C Technology is a strategic role responsible for shaping and driving the AI technology roadmap across NTT DATA Incs People & Culture technology landscape.

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.

Knowledge and Attributes

• 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.

Academic Qualifications and Certifications

• Bachelors 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

About NTT DATA
NTT DATA is a $30 billion business and technology services leader serving 75% of the Fortune

Global 100. We are committed to accelerating client success and positively impacting society through

responsible innovation. We are one of the worlds leading AI and digital infrastructure providers with

unmatched capabilities in enterprise-scale AI cloud security connectivity data centers and

application services. Our consulting and industry solutions help organizations and society move

confidently and sustainably into the digital future. As a Global Top Employer we have experts in more

than 70 countries. We also offer clients access to a robust ecosystem of innovation centers as well as

established and start-up partners. NTT DATA is part of NTT Group which invests over $3 billion each

year in R&D.

Equal Opportunity Employer
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age race colour gender sexual orientation religion nationality disability pregnancy marital status veteran status or any other protected category. Join our growing global team and accelerate your career with us. Apply today.

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Employment Type : Full-Time
Experience: years
Vacancy: 1