Senior Product Manager

Senior Product Manager - Data Engineering

Join to apply for the Senior Product Manager - Data Engineering role at Easygo

Senior Product Manager - Data Engineering

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Join to apply for the Senior Product Manager - Data Engineering role at Easygo

Easygo leads the world in crafting top tier entertainment experiences. Our engineering organisation thrives on solving large scale, complex problems with innovative solutions. We're committed to continuous learning, collaboration, and engineering excellence - and we're building a team that reflects those values.

What You'll Be Part Of

• Complex Projects, Creative Solutions: Tackle deep technical challenges and design for scale.
• Accelerate Your Growth: Learn from the best, with access to mentorship and technical development.
• Collaborate with Industry Leaders: Work side-by-side with some of the finest minds in data and engineering.
• Caring Culture: We invest in your professional growth through support and tailored development plans.
• Shape the Future of Entertainment: Your work will influence major products like Stake, Kick, and our emerging platforms.

About the Role

We're looking for a Senior Product Manager – Data to join our product team and act as the connective tissue between data engineering, analytics, product, and business teams.

This is a technical and strategic role. You'll support managing the data product roadmap, act as the go-to contact for data requirements, and data governance best practices across the business. You'll also relieve our data engineering team of operational overhead, helping them focus on building scalable infrastructure, data pipelines and solutions.

Your job is to ensure data is accessible, governed, and most importantly, useful.

What You'll Do

• Identify, capture, and prioritise data engineering requirements across different business units.
• Work with internal and external teams (e.g., Salesforce, CRM, marketing) to integrate and model external data sources.
• Identify technical limitations, data cohesion in our current data setup and define scalable solutions.
• Act as the SME for all things data within product.
• Set up and champion self-service tools and training for product managers and other stakeholders.
• Mentor the broader product organisation 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 (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.
• Support compliance with regulations (GDPR, data retention, security policies).
• Maintain documentation for data schemas, flows, and logic to ensure traceability and future-proofing.
• Monitor and enforce policies to ensure the right data is used by the right people, for the right purposes.
• Explore and analyse data using SQL, APIs, and catalog tools to identify opportunities and unblock teams, specifically the product team.
• Deliver proactive insights and trends to product and leadership based on observed data patterns.

Minimum Qualifications

• 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.

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.
• Background working in regulated environments (e.g., gaming, finance, healthcare).

Why Join Easygo?

Easygo leads the world in crafting top tier entertainment experiences. Our engineering organisation thrives on solving large scale, complex problems with innovative solutions. We're committed to continuous learning, collaboration, and engineering excellence - and we're building a team that reflects those values.

What You'll Be Part Of

• Complex Projects, Creative Solutions: Tackle deep technical challenges and design for scale.
• Accelerate Your Growth: Learn from the best, with access to mentorship and technical development.
• Collaborate with Industry Leaders: Work side-by-side with some of the finest minds in data and engineering.
• Caring Culture: We invest in your professional growth through support and tailored development plans.
• Shape the Future of Entertainment: Your work will influence major products like Stake, Kick, and our emerging platforms.

About the Role

We're looking for a Senior Product Manager – Data to join our product team and act as the connective tissue between data engineering, analytics, product, and business teams.

This is a technical and strategic role. You'll support managing the data product roadmap, act as the go-to contact for data requirements, and data governance best practices across the business. You'll also relieve our data engineering team of operational overhead, helping them focus on building scalable infrastructure, data pipelines and solutions.

Your job is to ensure data is accessible, governed, and most importantly, useful.

What You'll Do

• Identify, capture, and prioritise data engineering requirements across different business units.
• Work with internal and external teams (e.g., Salesforce, CRM, marketing) to integrate and model external data sources.
• Identify technical limitations, data cohesion in our current data setup and define scalable solutions.
• Act as the SME for all things data within product.
• Set up and champion self-service tools and training for product managers and other stakeholders.
• Mentor the broader product organisation 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 (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.
• Support compliance with regulations (GDPR, data retention, security policies).
• Maintain documentation for data schemas, flows, and logic to ensure traceability and future-proofing.
• Monitor and enforce policies to ensure the right data is used by the right people, for the right purposes.
• Explore and analyse data using SQL, APIs, and catalog tools to identify opportunities and unblock teams, specifically the product team.
• Deliver proactive insights and trends to product and leadership based on observed data patterns.

Minimum Qualifications

• 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.

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.
• Background working in regulated environments (e.g., gaming, finance, healthcare).

Some of the perks of joining us:

• Lead impactful large-scale data as a product initiatives across global scale software products.
• Unique exposure to datasets that handle over 500 million records a day and over 10 MB per second real time data input
• Work alongside the top 5% of engineering talent in Australia using a vast AWS cloud native and big data technology stack.
• Access to over 9,000 courses across our Learning and Development Platform
• Be rewarded with lucrative annual bonuses
• EAP access for you and your family
• Fuel your day with daily breakfast and open pantries brimming with unlimited snacks and refreshments, all on the house
• Give back with a paid volunteer day
• Break up the week with on site remedial massage Wednesdays
• In house full-time barista's providing you your daily coffee needs
• Weekly team lunches and happy hour in the office from 4pm on Fridays
• Enjoy a bustling office with the option for up to 2 days work from home per week
• Fun office environment with F1 simulators, table tennis and all your favourite gaming consoles

We believe that the unique contributions of everyone at Easygo are the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. We are passionate about providing a workplace that encourages great participation and an equal playing field, where merit and accomplishment are the only criteria for success.

Seniority level

• Seniority levelMid-Senior level

Employment type

• Employment typeFull-time

Job function

• Job functionProduct Management and Marketing
• IndustriesSoftware Development

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