Director AI & Automation
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About the role
Make an impact with NTT DATA Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion - it's a place where you can grow, belong and thrive. Your day at NTT DATA Director of AI & Automation Location: Sydney (or Melbourne) Transform how work gets done in the AI era AI is changing the way IT services are delivered. The next wave of value will not come from simply giving people access to AI tools. It will come from redesigning work: how people, platforms, data, automation and AI agents combine to deliver better outcomes for clients. . We're looking for a Director of AI & Automation to lead the transformation of our Managed Services Delivery business across ANZ allowing us to move towards more scaled, trusted, AI-powered ways of working . This is a high impact leadership role for someone who loves challenging the status quo, can see where work should be simplified or automated, and can bring people on the journey. Build trusted, scalable and measurable agentic ways of working. Deliver measurable impact at scale Turn ideas into adoption, adoption into operational change, and operational change into measurable business value. Why this role matters Our delivery environment is full of opportunity repeatable processes, operational toil, service workflows and engineering activities ready to be reimagined. Your mission: Identify the highest value automation and AI opportunities Redesign end-to-end journeys around efficiency, speed and quality Help our people move up the value chain by reducing low-value manual work and enabling more proactive, advisory and client-focused service delivery. You won't just run pilots, you'll turn ideas into adoption, adoption into change, and change into real business outcomes. What You'll Lead Lead the ANZ Managed Services Delivery AI and Automation agenda, aligned to Group and APAC agentic workforce transformation programs. Own year-on-year efficiency outcomes across Managed Services delivery. Lead, coach and develop a team of AI and automation engineers/developers, ensuring they are focused on the highest value opportunities and building secure, supportable and reusable capabilities. Identify, assess and prioritise AI, automation and agentic use cases across delivery, operations, service management and engineering. Build a repeatable pathway from idea to use case, prioritisation, development, enablement, adoption and benefits realisation. Lead an AI and Automation Centre of Excellence that encourages innovation at the edge while scaling proven capabilities into secure, supported and reusable enterprise patterns. Redesign processes and workflows around human accountability, agentic execution, trust, governance and measurable outcomes. Partner with platform and architecture teams to ensure AI and automation solutions are secure, scalable, integrated and supportable. Establish governance for responsible AI and automation, including ethical design, data readiness, access control, security, ownership and operational support. Run workshops, hackathons, showcases and enablement programs that create energy, adoption and practical outcomes. Track and report value through efficiency, productivity, adoption, service quality, employee experience and operational performance metrics. What you bring You are a disruptive but pragmatic leader. You are passionate about AI and automation, but you know technology alone does not change an organisation. You understand that agentic workforce transformation requires new behaviours, new governance, new ways of working and a shift in mindset from "using AI tools" to designing work around outcomes, trust and human accountability. You bring: Leadership experience across AI, automation, service transformation, managed services, operations, digital transformation or technology delivery. Experience leading technical teams, including automation engineers and AI developers, platform or similar delivery capability. Proven experience delivering automation, AI or process transformation outcomes that improved efficiency, productivity, service quality or operational performance. Strong understanding of GenAI, agentic workflows, automation, workflow orchestration and enterprise AI adoption. Experience leading organisational change, including stakeholder alignment, communication, enablement, adoption and behaviour change. Ability to partner with senior leaders to turn business problems into prioritised AI and automation programs. Commercial discipline and experience owning efficiency, productivity, benefits realisation or operational performance targets. Experience building or leading a CoE, automation capability, transformation function, innovation program or enablement team. Understanding of responsible AI, security, privacy, data governance, ethical design and human accountability. Strong
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