About the position
Create and facilitate the delivery of the Machine Learning roadmap for one or more of the Group's key AI focus areas:-
Product Catalogue
Merchants (Retail & Marketplace)
Supply Chain & Logistics
Work hand-in-hand with a team of dedicated machine learning engineers, aiming to deliver projects reliably against projected roadmap timelines
Drive adoption and integration of machine learning project outputs from your machine learning team by other internal non-machine learning software engineering teams.
Own and drive agile events like Sprint Grooming and Sprint Planning to facilitate project breakdown and effective sprint prioritisation towards timely execution.
Contribute to and challenge technical design decisions for relevant projects.
Ensure consistency of design patterns across your product portfolio.
Balance longer-term product vision and goals with short-term wins.
Take accountability for the overall delivery of each project committed to the roadmap.
Ensure relevant stakeholders for specific vertical(s)/roadmap(s) are correctly identified and consulted.
Work closely with relevant business units to identify opportunities for driving meaningful business results through machine learning solutions and then work with stakeholders to prioritise projects for roadmap inclusion.
Collaborate with business stakeholders to identify key business needs, market trends, and opportunities to inform product strategy and prioritisation.
Determine what data needs to be gathered to inform decision-making around product requirements.
Gather and use quantitative and qualitative data to help formulate product requirements. Suggest ideas to solve stakeholder challenges and validate them with metrics in close collaboration with stakeholders.
Define and report the success metrics of each project on your roadmap against business goals.
Attributes Required:
- This is a broad portfolio, which requires a candidate with a broad range of skills and experiences.
- Ability to distill technical subjects to their fundamental concepts, to facilitate the effective exchange of ideas between business stakeholders and software development teams.
- Strong commercial acumen for understanding the factors driving business success in a fast-paced e-commerce environment
- Be comfortable with data deep-diving, individually and collaboratively, to generate product-level insights.
- Being proactive in exploring your problem space and surroundings, in support of the product vision and roadmap of your teams.
- Collaborate with engineering teams to reduce uncertainty and set actionable deliverables.
- Has a drive to actively unlearn and relearn mental models for as long as there is supporting data.
Qualifications and Experience:
- Product experience:
- Bachelor's Degree or Advanced Diploma in a related field (such as Management Science, Statistics, Data Science, or Computer Science) with at least 7 years of experience in product management or a related role (through projects or responsibilities)
- If you do not have a Bachelor's Degree or Advanced Diploma in a related field (Management Science, Statistics, Data Science, or Computer Science), an equivalent experience requirement must be met, which equates to at least 10 years of experience in product management or a related role (through projects or responsibilities)
- Experience leading and executing cross-functional projects, preferably in high-traffic environments.
- Familiarity and proficiency with agile methods and tools to support project management in a timeline-sensitive environment.
- High accountability when it comes to meeting deadlines and ship dates.
- Preferably, a proven track record in delivering machine learning and/or data products including defining AI/ML problems, defining data strategies, building ML MVPs, and subsequent maturing iterations at scale.
- Required data experience:
- Experience with Google Sheets and/or Microsoft Excel at an advanced level.
- Experience with MySQL or PostgreSQL, and BigQuery or a similar technology, preferably in a high-load environment.
Advantageous data experience:
- Experience with either Python or R/RStudio as an aide to product decision-making.
- A solid understanding of AI/ML and engineering fundamentals, allowing you to understand and earn the respect of experienced machine learning engineers and data scientists.
Desired Skills:
- Product Management
- Machine learning
- data science
- Lead Product Management
