Group Product Manager

We've been trusted to serve Aussie communities since 1914 and grown to become a top 30-listed on the ASX with 120,000 team members and a portfolio of iconic brands. At Coles Group, you'll not only get to make a difference to millions of Aussie lives—you'll also get to see your impact.

**About the team**

As the way we shop continues to evolve, our **Data Team** keeps us at the cutting edge. Driven by our innovative, inclusive, and forward-thinking culture, we're constantly looking at ways to reinvent the shopping experience for our customers and build the next generation of digital retailing.

The Data Team within the broader Coles Technology Team focuses on building data collection and analytics capabilities to uncover customer, product, and operational insights. Providing data driven support to our users and enabling Coles to be a data driven organisation.

**About the role**

This exciting position within our Data and Intelligence team will be pivotal in**defining and leading the long-term strategy for Coles' Data and AI product portfolio, ensuring alignment with enterprise vision, evolving customer needs, and commercial imperatives. This role is pivotal in shaping the future of data-driven innovation across the domain, positioning Coles at the forefront of AI-enabled transformation.

To be successful in this role, you will aim for the below:
**Domain Product Strategy and Direction**
- Define and drive the long-term strategy for the domain's Data and AI product portfolio, ensuring alignment with enterprise vision, customer needs, and commercial objectives.
- This role will drive innovation in data utilisation, advanced analytics, automation, machine learning and AI (including generative AI and agentic AI) to deliver measurable value across their domain. Ensuring Coles maintains a competitive advantage in a market with AI driven disruption.
- Lead Data and AI product discovery and strategic planning across the suite, identifying new opportunities, sunsetting underperforming products, and evolving the product mix as needed.

**Product Leadership**
- Oversee a team of Product Managers and Associate Product Managers, ensuring cohesive management of the full product suite across all lifecycle stages.
- Ensure a high standard of product practices across the portfolio, including user research, roadmap development, prioritisation, release planning, and benefits realisation.
- Maintain a clear line of sight across product performance, adoption, and risk, intervening or reallocating resources as needed.

**Stakeholder Engagement**
- Act as a strategic partner to senior business and technology stakeholders, influencing priorities, communicating vision, and aligning roadmaps for Data and AI Products. This includes General Managers, Head Ofs and Program Managers within domain. Be able to participate in strategy development sessions with influence.
- Partner with the business to make Buy, Build and Partner decisions for AI solutions.
- Translate complex technical or delivery information into clear business context to support prioritisation and decision-making.

**Product Operations and Governance**
- Actively and visibly champion cross-functional ways of working that integrate product, delivery, design, technology and Data and AI engineering.
- Take ownership of the Data and AI product suite including defining value metrics and monitoring product success.

**Experience required**
- Proven experience as a Group Product Manager, Head of Product or equivalent in large scale enterprise setting, with specific experience in developing AI products
- Strong domain experience in data science, machine learning, generative AI. Agentic AI systems experience preferred.
- Familiarity with MLOps, LLMOps and continuous model monitoring frameworks.
- Proven success owning the strategy and direction of a large suite of products, ideally in a fast-paced, complex or matrixed environment.
- Track record of leading product managers and influencing multi-disciplinary teams, including design, engineering, and operations.
- Experience using customer insight, data, and commercial outcomes to shape product decisions and prioritisation.
- Deep understanding of agile and product lifecycle methodologies, and how to scale product management in large organisations.
- Involved in defining product success metrics and monitoring product success
- Strong ability to deliver and execute on agreed delivery plans, prioritise development requirements and manage output to critical milestones
- Proven track record of building strong relationships with multiple business stakeholders and teams, including c-suite communication and engagement.

**Commercial Skills and Formal Qualifications**
- Proven years in product management with at least four years in AI/data products.
- Vision setting and long-term roadmap creation for AI/data portfolios. Driving enterprise-wide AI adoption strategies, including generative and agentic AI.
- Ability to translate emerging AI c