Job Description

• Create and facilitate the delivery of the Machine Learning roadmap for the company''''s key AI focus areas.
• 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.

• 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

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