Data Product Manager

1 week ago


Melbourne, Victoria, Australia beBeeProduct Full time $100,000 - $150,000

About our organization, we're a leading provider of workwear solutions with iconic brands. Our journey began in the late 1920s and we've been continuously innovating since then.

We value our customers and are passionate about delivering high-quality products that meet their needs. We work closely with cross-functional teams to ensure our products are aligned with business goals.

Key Responsibilities include:

  • Translate data and analytics business goals into actionable product workstreams
  • Develop and manage the data product roadmap, including prioritisation, release planning, and team allocation
  • Define core product positioning within the analytics ecosystem and articulate the value proposition to stakeholders
  • Communicate progress and outcomes to stakeholders, demonstrating measurable business impact
  • Enable training, adoption, and identify opportunities for cross-functional data reuse and insights

Foster agile and lean governance across data product delivery squads.

Promote data-informed design principles to shape product deliverables.

Coach team members to maintain engagement, delivery velocity, and effectiveness.

Identify and resolve delivery impediments to ensure alignment with analytics and digital transformation strategy.

Track delivery milestones and adapt roadmaps to meet evolving business needs.

Ensure data products meet quality standards through validation processes (e.g. UAT, QA).

Manage vendor relationships and ensure compliance with SLAs and contractual terms.

Requirements include:

  • 5+ years' experience in product management & analytics, with a track record of delivering data product strategies that drive business outcomes
  • Strong stakeholder engagement skills, with the ability to influence senior leaders and translate data into business value
  • Hands-on experience with Snowflake, Power BI, and DBT, and a solid understanding of modern data engineering and analytics workflows
  • Proven ability to lead agile, cross-functional teams and manage delivery in dynamic environments
  • Passion for enabling data literacy and driving adoption of self-service analytics across business units


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