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 and Artificial Intelligence 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 and Artificial Intelligence**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**

For this exciting position within our Data and Artificial Intelligence team, we are seeking a versatile **Product Manager** to manages the end-to-end delivery of specific AI and data products, ensuring business value is realised.

Also, be responsible for creating the roadmap for product squad of multi-disciplinary engineers. Accountable for the results of squads using agile product delivery methods to deliver data and AI products that deliver measurable value to the business.

Working closely with the Group Product Manager Data & AI, your main responsibilities will include the following but not be limited to the below:

- Defines backlog with their squads, partners with the domain stakeholders to ensure the backlog aligns with the business and product strategies. Frame the product backlog with bigger picture thinking that is anchored to the domain’s strategic priorities and long-term vision. Utilises strategy and product roadmap to define quarterly objectives and key success measures for squads.
- Manages and prioritises backlog to deliver on their quarterly objectives and key commercial outcomes. Responsible for end-to-end execution of their initiatives, from discovery to delivery
- Ability to lead Data & AI component of complex cross-functional initiatives and projects. Fosters and maintains strong stakeholder relationships to ensure transparency and alignment around backlog, priorities and key deliverables.
- Works closely with Engineering Manager, development squad and vendor partners to manage delivery, dependencies and risk.
- Communicates to domain stakeholders on progress of initiatives. Foster close engagement with business stakeholders, promoting Data and AI literacy and influencing stakeholders on how data and AI can drive their strategy and business outcomes.
- Partner with stakeholders across business and technology to influence strategic priorities and investment decisions.

**Product Leadership**
- Define the product vision, strategy and roadmap for assigned Data and AI products.
- Gather, manage and prioritise product requirements as inputs to squads. Translate business needs into clearly defined epics, user stories, and acceptance criteria.
- Manage delivery through discovery, design, build, testing, deployment, and adoption phases. Continue to monitor products in use for further enhancements, support or remediation.
- Ensure a high standard of product practices across the portfolio, including hypothesis validation/proof of concept, roadmap development, feature prioritisation, release planning, and benefits realisation.

**Stakeholder Engagement**
- Act as a strategic partner to business and technology stakeholders, influencing priorities, communicating vision, and aligning roadmaps for Data and AI Products. Be able to participate in strategy development sessions with influence.
- Ensure alignment between product features and business value drivers.
- Guide the business to make Buy, Build and Partner decisions for AI solutions.
- Communicate product delivery updates and translate complex technical or delivery information into clear business context to support prioritisation and decision-making.

**Product Operations and Governance**
- Take ownership of Data and AI products including defining value metrics and monitoring product success.
- Define the release objectives and coordinate the wider go live activities associated with a release in conjunction with iteration manager.

**Experience required**
- Proven experience as a Product Manager or equivalent in large scale enterprise setting, with specific experience in developing AI products
- Strong domain experience in data science, machine learning concepts and generative AI models. Agentic AI systems experience preferred.
- Familiarity with MLOps, LLMOps and continuous model monitoring frameworks. Familiarity with data platform technologies (e.g. Databricks, Snowflake).
- Understanding of retail data sources as relevant to domain (POS, loyalty, commercial, inventory, supply chain, workforce) and how they can be