Senior Product Manager
4 days ago
SEEK's purpose is to help people live more fulfilling and productive working lives, and help organisations succeed. We create world-class technology solutions to connect more people to relevant employment, education, small business and volunteer opportunities.
Job DescriptionThe Senior Data & Analytics Manager will be responsible for developing and implementing the Data & Analytics strategy, driving valuable business outcomes and results. This includes leading a distributed team of ~8 direct reports across Australia & Malaysia, ensuring high performance and engagement.
Key Responsibilities:
- Develop and implement the Data & Analytics strategy, driving valuable business outcomes and results
- Lead a distributed team of ~8 direct reports across Australia & Malaysia, ensuring high performance and engagement
- Oversee key data & analytics decisions for the Jora product experience, balancing customer insights with strategic priorities
- Collaborate on OKRs setting and support the execution of relevant data & analytics work
- Lead ongoing measurement, analysis, and recommendations relating to customer & business data
- Ensure a robust understanding of jobseekers and employers needs to drive high-quality decision-making
- Work closely with other Jora leaders to maintain a consistent, cohesive experience across the product domain
- Advocate for consistent ways of working and advance data & analytics strategy across delivery streams
- Hire and develop data engineers, analysts, and scientists as required across APAC
Qualifications
The Role & Key Responsibilities
Senior Data & Analytics Manager (commensurate with experience) is responsible for the strategy & execution of data & analytics across Jora – with a focus on;
Data Strategy/Vision & Practice Leadership
Setting an inspiring vision for how the digital analytics function will partner with, support & unblock the broader Jora team with data & insights
Leading the delivery of the data & analytics vision at Jora (design, planning, implementation and optimisation) through strong leadership of the data-engineering & data-science teams to design, plan and implement effective data-tracking, storage, pipelining, enrichment, and BI tools
Being a strong advocate for driving the best customer outcomes, with data-informed decision making within the business
Data Engineering
Taking a hands-on approach to leading our data-engineering team to establish, optimise and scale our data pipelines, ETL processes, data warehouse management, data models, reverse ETL services, ML Dev Ops.
Product Analytics
Taking a hands-on approach to leading our product analytics team to establish & strengthen a close partnership with business stakeholders, enabling seamless data informed/driven decision making with easy self-serve access to accurate and meaningful product data & insights, and also expert guidance & capability.
Data Science
Taking a hands-on approach to leading our data science team to raise awareness and adoption of ML supported product & services, and embedded experimentational frameworks with math & stats support to build confidence in results.
You will work closely with other functional leaders to design, plan, and execute quarterly OKRs – and proactively inspire and motivate your team, and the broader delivery teams
Essential skills and experience
- Data & Analytics Expertise – 5+ years of experience across data engineering, product analytics, and data science, with strong SQL, Python/R skills, statistical analysis, and database optimization knowledge. Experience with tools like Redshift, GA4, Tableau, and Google Ads.
- Leadership & Agile Mindset – 3+ years of team leadership experience, driving analytics practices, managing multiple priorities, and working effectively in agile environments with a test-and-learn approach.
- Technical & Analytical Strength – Ability to handle large, complex datasets, conduct multi-variant experiments, derive statistically significant insights, and contribute to database discussions with engineers.
- Effective Communication & Influence – Strong storytelling and stakeholder management skills, able to translate data into actionable insights, engage diverse teams, and drive business impact through influence.
- B2C & Cloud Experience – Preferably experienced in B2C products and familiar with cloud-based data platforms like AWS and Databricks.
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