# Associate Director, AI Product at Singtel

Singtel is hiring an Associate Director, AI Product in Sydney, Australia. Level rates it Works on AI ●●●○; you can [apply on Singtel](https://jobsbylevel.com/go/e1d3b89d-1f87-463a-8fbb-2dea45cbac2a?utm_medium=ai-agent).

AI Level 3, AI centrality 76 out of 100. Sydney, Australia.

## Details

- Company: [Singtel](https://jobsbylevel.com/companies/singtel)
- AI level: AI Level 3 (score 76 out of 100)
- Location: Sydney, Australia
- Posted: October 19, 2026
- Apply: https://jobsbylevel.com/go/e1d3b89d-1f87-463a-8fbb-2dea45cbac2a?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=associate-director-ai-product-at-singtel-bbbba0

## Prepare for this job

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## Description

Associate Director, AI Product — Optus.ai Help build the AI capability that will power the future of Optus Optus is an Australian telecommunications company, delivering more than 11 million services to our customers every day across mobile, broadband and digital solutions. Every day, millions of Australians connect, work, stream and stay in touch on the Optus network. Behind that experience is a team making critical decisions that keep people, businesses and communities connected. Optus.ai builds and runs the AI platforms that help Optus scale AI safely. We create reusable capabilities, set guardrails for responsible adoption, and partner with business teams to identify opportunities, shape roadmaps, prototype solutions and turn ideas into products that deliver value. This includes building agentic workflow automation, conversational analytics, copilots and decision-support tools that improve customer outcomes, employee effectiveness and operational performance. We are looking for an experienced, hands-on product leader to join the Optus.ai team as Associate Director, AI Product . This role sits at the intersection of AI Product & Platform Development and Enablement. You will help the business understand where AI can make a meaningful difference, then lead the journey from problem definition through to prototype, product development, launch, adoption and optimisation. What you’ll do Lead AI Internal Engagements Partner with business leaders and teams to understand their goals, customer needs, operational challenges and constraints. Facilitate workshops, interviews and demos that build shared understanding. Discover, prototype and validate Identify and translate business problems into AI product opportunities, hypotheses and experiments. Rapidly prototype solutions using no-code, low-code and coded approaches to test desirability, feasibility and value. Define and deliver AI products Develop product vision, strategy, roadmap and measurable outcomes for AI products and capabilities. Develop clear product requirements, user stories, process flows, acceptance criteria and success measures that engineering, data science and platform teams can act on. Work across product, internal go-to-market and platform Work with platform product and engineering teams to identify reusable capabilities, integration needs, data requirements and platform improvements. Monitor adoption, engagement, quality, cost and business impact, using insights to improve the product and inform future investment. Build responsibly and at scale Champion responsible AI, ensuring products are designed with appropriate controls for privacy, security, safety, risk and compliance. Help establish repeatable patterns, playbooks and practices that allow AI products to scale safely across Optus. What we’re looking for You are a commercially minded, technically credible product leader who can create clarity in ambiguous environments and turn AI potential into products people use. You’ll bring Experience leading product strategy and delivery in a complex, enterprise or highly regulated environment. A strong track record of leading engagements with senior stakeholders: understanding problems, aligning teams, making decisions and creating momentum. Hands-on experience exploring AI use cases through no-code, low-code and/or coded prototypes. You do not need to be a machine learning engineer, but you do need to understand how modern AI solutions are put together and be able to work credibly with technical teams. Strong product discovery skills, including customer and user research, journey analysis, experimentation and value validation. An understanding of AI risk, privacy, security, governance, data and model limitations, with the judgement to balance innovation and responsible delivery. Excellent communication, facilitation and influencing skills, with the ability to engage confidently with executives, business teams and technical specialists. You may also have Experience with

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