Data Platform Lead - Product Owner for Analytics Solutions

WM New Zealand; Howick; On-site; NZD 140,000 - 190,000; Full time

Benefits offered by this job

Competitive Salary Package

Work Life Balance Initiatives

Professional Development Opportunities

Onsite Café and Carpark

Discounts on various products for you

Discounts on fuel at Z!

Job summary

WM New Zealand is seeking an experienced Data Platform Lead to own the vision and roadmap for our data product portfolio. You will work hands-on with analytics engineering, guiding datasets, metrics layers, and models while collaborating with the data engineering team to deliver impactful solutions.

You will define strategy, lead discovery sessions, manage backlogs, and coach engineers to adopt product thinking, ensuring delivery aligns with business value and timelines.

Qualifications

• Product ownership experience in delivering data products
• Proficient with dbt transformations, metrics layers and semantic models
• Strong SQL skills for complex data modelling and performance
• Knowledge of cloud data warehouses and Snowflake patterns
• Familiarity with dimensional modelling (Kimball) for consumption
• Experience applying analytics engineering best practices (CI/CD, testing, docs)
• Proven ability to manage expectations with technical and non-technical stakeholders
• Mentoring teammates in product thinking and business context

Responsibilities

• Own the product vision and roadmap for data products (datasets, metrics, models)
• Build data products hands-on using dbt and Snowflake
• Manage the product backlog and translate business needs into specs
• Lead day-to-day delivery, unblock issues, set priorities
• Drive stakeholder relationships and manage timelines/scope
• Develop team capabilities through coaching on product thinking

Skills

Product ownership

Analytics engineering

Stakeholder management

Mentoring mindset

SQL excellence

Tools

dbt

Snowflake

Job description

WM New Zealand is seeking an experienced Data Platform Lead to own the vision and roadmap for our data product portfolio. You will work hands-on with analytics engineering, guiding datasets, metrics layers, and models while collaborating with the data engineering team to deliver impactful solutions.

You will define strategy, lead discovery sessions, manage backlogs, and coach engineers to adopt product thinking, ensuring delivery aligns with business value and timelines.