Unlock Data Driven Growth

7 days ago

Melbourne, Victoria, Australia beBeeDataEngineering Full time $180,000 - $240,000
Senior Product Manager - Data Engineering

Elevate your career by taking on a pivotal role in our data engineering organization. We're seeking an experienced Senior Product Manager to lead the development of innovative solutions that drive business growth and customer satisfaction.

We thrive on complex projects, creative problem-solving, and collaboration with industry leaders. As a member of our team, you'll have access to mentorship, technical development, and opportunities for professional growth.

  • Tackle deep technical challenges and design scalable infrastructure, data pipelines, and solutions.
  • Leverage your expertise in SQL, APIs, and data catalogs to identify opportunities and unblock teams.
  • Support the data product roadmap and manage delivery timelines in partnership with data engineering.
  • Maintain and manage the data engineering backlog (Jira).
  • Coordinate cross-functional dependencies and align business and technical priorities.
  • Translate business needs into actionable technical specs and workflows.
  • Support the identification and delivery of future ML & AI product opportunities.
  • Maintain documentation for data schemas, flows, and logic to ensure traceability and future-proofing.

This is a technical and strategic role that requires strong communication and stakeholder management skills. If you're passionate about data engineering and want to make a meaningful impact, we encourage you to apply.

Requirements
  • Bachelor's degree in Computer Science, Engineering, Data Science, or related field — or equivalent experience.
  • 3–5+ years' experience in product management, data product ownership, or technical program management.
  • Strong SQL skills and familiarity with APIs, data catalogs, and modern data platforms.
  • Experience with tools like dbt, Redshift, Snowflake, Iceberg, Airflow, S3, or similar.
  • Familiarity with data governance principles (e.g., GDPR, PII handling).
  • Proven ability to work across engineering, analytics, product, and compliance teams.
  • Experience managing delivery workflows using Jira, Confluence, or similar.
Bonus Points
  • Experience in a fast-paced, multi-product company with a modern data stack.
  • Familiarity with AI/ML use cases and the data prerequisites for deploying models.

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