Job Title: Technical Product Manager (Data & Platforms)
Location: Lagos
JobType: Full time
Category: Product
Role Overview
- We’re searching for an experienced Data Product Manager to join the Growth team at Kuda. As a member of the Product Growth function, you will be responsible for owning the development and execution of our growth data product strategy.
- As a Data Product Manager in Growth, you’ll partner with our Growth, Engineering, Analytics, Data Science, Data Engineering and Core Product teams to create a roadmap full of events, analytics, automation, platforms and insights.
- You’ll work with a high-performing, entrepreneurial, and product-focused group of engineers and analysts, in a highly collaborative and fun environment.
- In this exciting role, you’ll have the opportunity to make a massive impact on the company, the product and most importantly, on the lives and livelihoods of our amazing users!
Responsibilities
- Take full ownership of our best in class Growth Stack, ensuring we remain at the forefront of data innovation and improving the data within the growth ecosystem.
- Together with our Product Lead for Growth and the Data team, you will create a clear vision for how we execute and continuously improve the data, automation and insights we generate.
- Develop and execute a product strategy for growth/product data, focused on how we can increase our understanding of our customer base and build automation around it.
- Work closely with data consumers (other growth, product managers, data, marketing etc.) to solve their business problems using all the tools at your disposal.
- Own the full product discovery and delivery process from identifying the problem to ideating/research to delivering and then iterating.
- Collaborate with our Data Science team to find ways to help bring more predictive analytics into our Growth Stack.
- Coordinate resources, and create project timelines, to ensure on-time delivery with the highest quality.
- Deliver features and products that will create amazing user experiences and validate these with customers.
Requirements
- 5+ years of experience in Data/Data Platforms/Analytics with at least 2 – 3 years Product Management
- Master of data, you are more than comfortable using, managing, manipulating and analysing data to help understand problems or measure outcomes across any product or service
- You have designed, built and implemented complex product data events/ tracking plans which works effectively across multiple different tools (visualisation, automation etc).
- Test & Learn Mindset; you are focused on failing and learning fast using experiments and data to lead the way
- Understanding of Data Lifecycle (Business Understanding, Data Analysis, Data Acquisition, Data Governance and Monitoring)
- Growth/ Data Stack; extensive experience working with behavioural analytics platforms (Mixapnel, Amplitude) and
- Making an Impact: you have a proven track record delivering impactful changes
- Bias for Execution; you focus on defining the right MVP, making difficult trade-offs, and shipping effective features
- Exceptional Curiosity; you’re unafraid to ask questions, tinker, and learn to help drive product success
- You will have a strong understanding of the mobile ecosystem.
Advantageous:
- SQL
- Previously built CRM, CDP or a Data Platform
- Worked within the Fintech space.
- Knowledge of African markets.
- An obsession with user experience.
- A desire to build something great.
Benefits
Why Join Kuda?
At Kuda, our people are the heart of our business, so we prioritize your welfare. We offer a wide range of competitive benefits in areas including but not limited to:
- Pension
- Competitive annual leave plus bank holidays
- Group life insurance
- Health insurance
- L&D training
- We are advocates of work-life balance and offer a 3 day per week remote working option.
Application Closing Date
Not Specified.
Apply Now
Note
- Kuda are proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Kuda is considered based on merit, qualifications, competence and talent.
- We don’t regard colour, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status. If you have a disability or special need that requires accommodation, please let us know.
Job Features
Job Category | Data Analysis |