Senior Data Product Manager

2 weeks ago

Melbourne, Victoria, Australia beBeeData Full time $120,000 - $180,000
Key Product Manager Role

This position is a critical component of our product team, focusing on data management and strategy.

Job Description:

The ideal candidate will be responsible for developing and implementing the data product roadmap, acting as the central point of contact for data requirements, and overseeing data governance practices across the business. This role also involves relieving the data engineering team of operational overhead, enabling them to focus on building scalable infrastructure, data pipelines, and solutions.

Responsibilities:
  • Identify, capture, and prioritize data engineering requirements across different business units.
  • Collaborate with internal and external teams (e.g., Salesforce, CRM, marketing) to integrate and model external data sources.
  • Identify technical limitations and define scalable solutions for data cohesion in our current setup.
  • Act as the subject matter expert (SME) for all things data within the product team.
  • Establish and champion self-service tools and training for product managers and other stakeholders.
  • Mentor the broader product organization in data literacy and tooling.
  • Support the data product roadmap and manage delivery timelines in partnership with data engineering.
  • Maintain and manage the data engineering backlog.
  • 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.
  • Ensure compliance with regulations (GDPR, data retention, security policies).
  • Develop documentation for data schemas, flows, and logic to ensure traceability and future-proofing.
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.
  • Strong documentation, communication, and stakeholder management skills.
Benefits:
  • Unique exposure to datasets handling over 500 million records daily and real-time data input.
  • Work alongside top-tier engineering talent using a vast AWS cloud-native and big data technology stack.
  • Access to over 9,000 courses through our Learning and Development Platform.
  • Lucrative annual bonuses.
  • Employee Assistance Program (EAP) access for you and your family.
  • Daily breakfast and open pantries brimming with unlimited snacks and refreshments.
  • Paid volunteer day.
  • On-site remedial massage Wednesdays.
  • Full-time baristas providing daily coffee needs.
  • Weekly team lunches and happy hour from 4 pm on Fridays.
  • Flexible work-from-home options up to 2 days per week.
  • Fun office environment with F1 simulators, table tennis, and gaming consoles.

At [Company Name], we strive to create an inclusive workplace where everyone feels valued and empowered to contribute their best work. We believe in fostering a culture that celebrates diversity, promotes equality, and supports the well-being of all employees.

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