Product Manager (Data)

About THE ICONIC..

Since its inception in 2011, THE ICONIC has established itself as a dominant force in online retail across Australia and New Zealand, specializing in fashion, sports, and lifestyle e-commerce. With over 5 million customers and millions of active sessions daily, our platforms manage significant scale and complexity, processing high volumes of traffic and delivering seamless and inspiring end-to-end customer experience.

Product Team at THE ICONIC...

The Product team is made up of strategic thinkers leading and guiding cross-functional squads of Engineers, UX Designers and Data Scientists to ensure our customers and internal teams are delighted with every interaction. The team works with all areas of the business to set the strategy, roadmap and feature definition for all our tech products, from new features, existing systems and upgrades. This team are tech-savvy, business focused, big-picture visionaries with a passion for innovation.

What’s involved…

As a Product Manager for  Data, you will define and drive products which is central to our customers. You would own the roadmap for data products and platforms that power personalisation, marketing performance, merchandising, and fulfilment decisions. This role would partner with Data Engineering, Analytics, and Data Science to deliver trusted datasets, metrics, and models (e.g., customer segmentation, demand forecasting), ensuring data quality, governance, and privacy are built in.

Key responsibilities..

• Set the data product vision & strategy: Define how data capabilities will enable THE ICONIC’s goals (e.g., growth, customer experience, merchandising efficiency, fulfilment performance) and translate that into a clear roadmap.
• Own core data products: Build and iterate on data products such as:
  • Trusted datasets & data marts (customer, product, orders, inventory, delivery)
  • Dashboards / BI experiences and self-serve analytics
  • Decisioning and ML-enabled products (recommendations, segmentation, forecasting)
• Prioritise work using impact and evidence: Run discovery, quantify value, and prioritise backlog based on expected business impact (e.g., conversion, AOV, retention, stock availability, delivery speed/cost).
• Partner with technical teams to deliver: Work day-to-day with Data Engineering, Analytics, and Data Science to define requirements, scope MVPs, manage trade-offs, and ship iteratively.
• Enable experimentation: Ensure teams can run A/B tests and causal measurement, and that experiments are designed correctly, tracked reliably, and turned into decisions.
• Drive data quality, governance, and trust: Own standards for data quality, lineage, documentation, access controls, and ensure compliance with privacy and security expectations.
• Stakeholder management & change enablement: Align diverse stakeholders (commercial, marketing, product, tech, operations) and drive adoption—training, comms, and workflows—so the organisation actually uses the data product.
• Operate the product: Track usage and reliability (e.g., freshness, accuracy, uptime), manage incidents/SLAs where relevant, and continuously improve cost/performance of data pipelines and tools.

About You..

• Product delivery & ownership experience: Minimum 2 years experience as a Product Manager or Product Owner, including:
  • Prioritisation and trade-off decision-making
  • Roadmap ownership and outcome-based delivery
  • Familiarity with Agile sprint structures and ceremonies
  • Strong stakeholder management across multiple teams
• Strong data & analytics foundation: Proven background in data and analytics roles (e.g., Data Analyst, Analytics Translator, or data-focused Business Analyst) with the ability to work confidently with customer, marketing, and commercial data.
• Experience owning data products (not UI-led features): Comfortable leading products centred on metrics, insights, datasets, and models—rather than traditional UI-first/feature delivery.
• Cross-functional “translator” capability: Ability to operate at the intersection of Data Science, Analytics, and Engineering, while translating technical concepts into clear outcomes for commercial and customer-facing stakeholders.

Highly desirable (nice-to-have): Experience in either..

• Segmentation, personalisation, marketing measurement, or customer analytics, especially where data products directly impact revenue, CLV, and marketing efficiency, or
• The AI/agentic space (e.g., building data products that enable AI-driven decisioning, automation, or intelligent workflows).

Why you'll love THE ICONIC..

From our ways of working to our growth mindset and sustainable approach, we each add unique value and have an incredible amount of fun doing it! People are our greatest asset and our ICONITE experience is designed to empower you to do your best work. Here’s what to expect when you join THE ICONIC:

• Flexible working. We offer a hybrid and flexible working model so you can do your best work in a way that works for you
• The learning  collective. Get your knowledge fix with our learning days and hackathons
• Parents at THE ICONIC. Access to our parental leave program and an extra day off for your kids' first day of school every year 
• Birthday leave. Enjoy a paid day off for your birthday and an ICONIC voucher to treat yourself
• Curate your style. No matter what your style is, we have got you covered with our Amazing staff discount and our famous sample sales
• People & Planet Positive: From our ethical sourcing and sustainability strategies to our community engagement and diversity, our responsibility is multifaceted, and each of these facets are equally important. 
• Wellbeing. Access to our discounted gym memberships and wellbeing programs
• People  first. Access our Employee Assistance Program for you and your family. 
• Volunteer days. Work as a Charity Partner with Thread Together for society and environmental change.
• Refer a friend. Enjoy a referral reward for successfully referring someone to THE ICONIC.

At THE ICONIC, diversity, inclusion, and belonging are integral to our culture, fostering an environment of respect and dignity. We aim to empower self-expression and ensure our workforce reflects our diverse communities. By embracing diverse perspectives and experiences, we strive to create a genuine sense of belonging for our employees, customers, and partners, promoting equal opportunities and a better shopping experience for all

Additional Information

We are committed to providing reasonable arrangements to all individuals participating in our application and interview process, and while performing job functions. If you require any accommodations or adjustments prior to the submission of your application or throughout your interview process, please contact our Talent Acquisition team directly: [email protected]