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QUALIFICATIONS AND JOB DESCRIPTION

Do you have a passion for data, analytics, insights and technology? Do you want to be part of a team that is building N11’s data platforms?

 

We are looking for enthusiastic and experienced Product Owners to help build the next generation data platform. This is a new role and highly strategic in its ability to make significant business impact.

 

As a product owner you will work collaboratively with stakeholders across N11 to agree on features and functions that will shape the future of data platform. In doing so, you will help the technical team by breaking these features into priorities, build plans, outline enablement, and training to deliver against those features.

What you will do:

  • Define and own the data engineering roadmap.
  • Partner with business stakeholders, data analysts and engineering teams to understand business and technical requirements, plan and execute projects, and communicate status, risks and issues.
  • Collecting, prioritizing and communicating product requirements and managing the release of contents
  • Conducting UAT, product acceptance testing and verify required functionality was developed and implemented as per business requirements;
  • Writing the user stories and keeping the backlog groomed.
  • Manage the Sprint cycles and scrum calls
  • Measure and evaluate the daily product performance.
  • Ensure Product health excellence.
  • Communicate internally and externally to inspire and evangelize the Data Platform Product vision.

Our ideal Data Engineer will have:

  • Bachelor's degree in Computer Science, Electrical Engineering, Mathematics, a related field or equivalent practical experience.
  • Understanding of data management fundamentals, data storage principles and distributed systems
  • Experience in Technology Management (product owner, product manager, Technical IT manager, IT/Data architecture with portfolio management responsibilities, etc.)
  • Demonstrates expertise with cloud and on-premises big data platforms
  • Knowledge of batch and streaming data pipelines, workflow engines, distributed computing technologies (Spark, Kafka, Hadoop, Kinesis, Flink, Airflow, etc.).
  • Excellent English verbal and written communication skills with a variety of audiences.
  • Ability to communicate well with users, partner teams and senior management to collect requirements, explain data collection decisions and create data engineering strategy
  • Being able to write and execute basic SQL Queries in order to analyze data if needed
  • Data-driven and strong analytical skills

Bonus points for having:

  • E-commerce domain expertise is a plus
  • Evaluate and review trend analysis of the product, product gap analysis, tactical support, winn /loss analysis, competitor analysis, market requirements document, product requirement document, product positioning
  • Knowledge of Master Data Management (MDM) and Data Quality tools and processes
  • Good foundation in data architecture design and the ability to apply those principles to real-world data problems
  • Understanding of complex data architectural environments.

PREFERRED CANDIDATE

POSITION INFORMATION