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PRODUCT OWNER, MACHINE LEARNING - 362030
PRODUCT OWNER, MACHINE LEARNING
FMCG / Retail / Wholesale
Wage / Salary:
R - Market Related - P/M (Per Month)
Cape Town, Western Cape
Our client is a leading South African retailer. They’re young and dynamic company, continually on the lookout for smart, creative, had-working people to join their team. Salaries are market related, they offer a great work environment, and a promise you won’t be bored as long as you’re ready for a challenge and want to build something great. They have offices in Cape Town, Stellenbosch and Johannesburg. Their mission? To be the leading e-commerce company in Africa.
Duties & Responsibilities
This position reports to the Artificial Intelligence Product Lead
You will be part of a world-class artificial intelligence team comprised of experts in machine learning, data science, and software engineering. The team’s focus is on accelerating the impact of machine learning across our clients’ group portfolio of companies, developing AI-by-design services across multiple focus areas to improve the experience of our users and make our operations more efficient.
As a Machine Learning Product Manager you will create and facilitate the delivery of the Machine Learning roadmap for one or more of our clients Group’s key AI focus areas; Search & Recommendations, Supply Chain & Logistics, or Retail & Marketing. You will work closely with relevant business units to identify opportunities for driving meaningful business results through ML solutions, and then work with stakeholders to prioritize projects for roadmap inclusion.
To execute on your roadmap you will work hand in hand with a team of dedicated data scientists, data engineers and machine learning engineers, aiming to deliver projects reliably against projected roadmap timelines (set and communicated to stakeholders quarterly by you). You will also be responsible for defining and reporting on the success metrics of the projects on your roadmap.
Success in this role means being able to effectively move the needle of your vertical’s “North Star” metric through consistent execution of machine learning projects. It also means becoming an effective evangelist of machine learning within the business vertical you serve; helping stakeholders understand the capabilities and potential value of ML as well as its limitations.
Desired Experience & Qualification
A strong record in delivering machine learning and/or data products including defining ML problems, identifying data strategy, building ML MVP and scaling/productizing a prototype to full-scale production.
Experience leading and executing cross functional projects. 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, and ability to lead numerous projects simultaneously under time constraints.
A solid understanding of ML and engineering fundamentals, allowing you to understand and earn the respect of experienced engineers and data scientists.
Enjoy making difficult things happen, leading the way in doing things for the first time, changing current ways of working and solving the many challenges along the way.
Ability to facilitate thoughtful and constructive conversations within and outside the team and an ability to communicate complex ideas effectively.
Preferably, a degree in a quantitative field such as Computer Science, Mathematics, Engineering, Statistics (or other similar quantitative fields).
Key Attributes and Competencies
Strategic orientation with an attention to detail.
Structured thinking, ability to remove ambiguity and work under pressure.
Self-starter and moves quickly.
Decisive and able to take accountability, and balance multiple priorities.
Can solve complex problems and distil into deliverables.
Proficiency to work closely and collaboratively with multiple departments and executives, and in cross-functional teams.
Exceptional communication and presentation skills.