Product Owner Data Science and Machine Learning

**Company Description**
Supporting millions of Aussies since 1988 with low fees and competitive long-term performance. Profits back to members, not shareholders

Please note Rest does not accept speculative resumes from recruitment agencies
**Job Description** About Us**

Established in 1988, Rest is one of Australia’s largest profit-to-member superannuation funds.

We support nearly two million members, with around $75 billion of funds under management and are recognised as a responsible investment leader*. We believe when members understand and engage with their super, they’re more likely to get a better retirement outcome.

Everything we do at Rest is underpinned by our values and behaviours, we want to Be Daring, Keep it Simple, Take Action and Have Grit. To put it simply we want our people to thrive and love the work they do.

**About the Job**

The Product Owner Data Science & Machine Learning role is accountable for defining and developing the product roadmap in order to deliver on business and user needs. The Product Owner will define the vision and lead the experience for their product; driving to lead the market and ensuring a process of ongoing iterative improvement in line with the wider technology strategy.

**The role will require a combination of excellent communication and presentation skills as well as strong technical data modelling/machine learning capability.**

The Product Owner Data Science & Machine role is embedded, and will work day-to-day, within a cross-functional Data and Insight product team. This will include:

- ** Manage and develop the product roadmap** for relevant products to deliver on business and user needs including working closely with the Intelligence Labs team to align with both the organisational vision and strategy as well as the enterprise data & analytics strategy.
- Ensure **product vision is clear, documented, and communicated** including collaboration with internal and external stakeholders and responsible for driving buy-in with senior executive team for product roadmap / vision.
- Strong collaboration with internal and external stakeholders and responsible for driving buy-in with senior executive team for product roadmap / vision
- ** Work closely with the stable team** to ensure they understand the “what” and the “why” in backlog and story prioritisation. Provide backlog management, iteration planning, and elaboration of the user stories
- Ensure that product roadmap decisions are based on a **‘test and learn’ approach** where feedback from stakeholders is incorporated into future product development cycles. Conduct extensive product research to evaluate competitor activity, strategies and emerging market trends locally and globally.
- Coach the machine learning engineer to **define, identify and document detailed technical requirements and define best approach to solve business problems **(choice of algorithm, etc.)
- Active participation in **Product Community of practice** to support incremental maturity of organisation’s product team capability

**Qualifications** About You**:
**Qualifications**:

- Bachelor’s degree in a related discipline

Required experience, understanding or credentials **including**:

- Experience of Agile product ownership or related roles such as project management
- Extensive expertise in Data Science & Machine Learning or related function
- Deep experience in building and implementing machine learning models (e.g. Xgboost, Random Forest, Neural Nets)
- A strong understanding of statistical techniques (e.g. Regression, Clustering, Classification)
- Experience of Advanced Analytics techniques (e.g. NLP, Next Best Action engines)
- Excellent process, documentation and writing skills with a keen understanding of data quality and information management principles.
- Experience developing product roadmaps and managing feature and user story backlogs.
- Product delivery experience with distributed teams and vendor/3rd party partner teams.
- Experience in decomposition of initiatives into requirements and solid understanding of both user story mapping as well as customer journey mapping.
- Strong analytical skills, including ability to interpret complex business needs and translate into product requirements for technical solutions.
- Ability to communicate and engage well with stakeholders at all levels (including senior executives) and be able to present technical solutions in a business context.
- (desired) Business domain knowledge in superannuation or financial services

**Additional Information** Benefits**

Our benefits have been designed so you can tailor your experience with us and include:

- Personal and professional development opportunities
- ** Flexible, hybrid working - work to suit your lifestyle (must be based in Australia)**:

- Purchase leave scheme and gender neutral 16 weeks paid parental leave
- Super Contribution Continuation for 12 Months of parental leave
- Meeting free breaks (Rest Stops)
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