Product Manager

Work options: Hybrid
About Us
Workwear Group (WWG) is part of Wesfarmers Industrial & Safety a division of Wesfarmers, a top 20 ASX listed company with over 100,000 employees.
Housed under the banner of Workwear Group, our three iconic brands - King Gee, Hard Yakka and NNT - have been in the business of delivering workwear since the late 1920's.
We are the trusted partner in workwear solutions, manufacturing over seven million units each year.
What sets us apart is our continuous investment in innovation, market knowledge, pioneering ideas and sustainability practices.
We work as one team.
We put our customers first and are passionate about what we do.
Joining WWG is an opportunity to thrive in an inspiring, safe, and inclusive community.
About the Role
As Product Manager within the Data and Analytics team, you will lead the strategic development and delivery of data-driven products that enable actionable insights and measurable business outcomes.
This role is central to translating enterprise data strategy into impactful solutions that support decision-making and innovation across the organisation.
You'll work closely with cross-functional teams—including data engineering, analytics, digital, and business stakeholders—to shape product vision, define and prioritise requirements, and ensure alignment with business goals.
With a strong focus on collaboration and stakeholder engagement, you'll act as a trusted partner to the business, championing the use of data to solve complex problems and unlock new opportunities.
This is a business-facing role that requires a strategic mindset, strong communication skills, and the ability to navigate both technical and commercial domains to deliver high-value data products.
What you'll be doing

Translate data and analytics business goals into actionable product workstreams aligned with enterprise data strategy
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
Educate and enable business leaders on data product capabilities
Facilitate collaboration across analytics, data engineering, UX, and business SMEs
Drive alignment between data teams and business units (e.g.
Sales & Service, Supply Chain, Finance, Product, Marketing)
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
Drive adoption of analytics solutions and empower business units to self-serve insights rather than rely on reporting requests

Who we're looking for
At our company, we value not only our great brands but also the people and teams that drive our success.
In addition to technical skills, we seek team members who possess the following personable qualities:

Strong work ethic and are committed to showing up for a team
Openness to receive coaching and embrace self reflection and self growth
Accountability for your actions, and emotions, and actively venture beyond your comfort zone
Embrace innovation, take calculated risks, and inspire others to think outside the box
Ability to build meaningful relationships, we prioritise our customers.
Balancing commercial goals with customer satisfaction is key
Ethical standards and demonstrating honesty and integrity in all interactions is fundamental to our team culture.

What we're looking for

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

What we offer

The chance to join a great team of like-minded, hard-working people who are passionate about achieving our vision and the growth objectives of the company.
Flexible working environment, allowing for work from home day/s each week.
A competitive salary package and suite of benefits and perks, including a 50% discount on our brands Hard Yakka, King Gee and NNT and 5% Wesfarmers discount for Kmart, Bunnings, Officeworks and more.
A tailored career and development plan, plus reward and recognition programs.
Whatever your goals we're here to support you on that journey.
Our Wellbeing program, Thrive, with activities designed to support the Financial Wellness of our team, Celebrate Diversity, ensure we Get Physical and maintain Healthy Minds, including challenges, yoga, meditation and access to our Employee Assistance Program.
We Learn, a dedicated hub for all things learning and development.

We actively work on creating a safe and inclusive environment free of discrimination.
At Workwear Group we aspire to build a culture where diversity is celebrated, where Team Members feel a sense of "I Belong" and are empowered to bring their whole selves to work.
You can follow us on Linked In or see our company careers page for more opportunities https://www.workweargroup.com.au/careers
Thank you for your interest in Workwear Group.
Due to anticipated high volumes of applicants, only shortlisted candidates will be contacted.

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