
Senior Mgr Product Data
2 weeks ago
Full time with Global MNC in to ecommerce logistics
As we scale and grow, Data will be our backbone to drive efficiency initiatives in our ecosystem. We are looking for a Head of Product for Data who will be responsible for managing 3 pillars of Data Analytics & BI, Data Governance and Data AI.
A DAY IN A LIFE
As a start up, you can expect your days to be pretty varied. Multitasking is normal, and sometimes, your skills or natural talents will be leveraged to support other business priorities. That said, the bulk of your working hours should involve you having to:
- Work with group stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions and identify business strategies
- Assess the effectiveness and accuracy of new data sources and data gathering techniques
- Develop predictive models using Machine Learning, Natural Language Processing (OCR, information extraction), and LLMs to build Data Products that directly impact key organization metrics
- Research on algorithm improvements for higher performance, accuracy, and optimality.
- Develop processes and tools to monitor and analyze model performance and data accuracy.
- Work on building the right data governance practice as we scale in our journey from a startup to more enterprise architecture
To ensure seamless onboarding with a dynamic team - you as a leader are expected to:
- Roll up their sleeves as needed, and never delegate work that one would not be willing to do themselves
- Do what is needed to get things done, as they believe speed is more important than anything else to effect change
- Over communicate, particularly as they are all quite autonomous
- Take care of our staff, and treat them as they would want to be treated
- Are detail oriented, able to operate in an environment of chaos, identifying the right opportunities
Requirements
- Experienced working in Data Products and building and scaling data teams to support organization growth
- Experience using ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Experience with Google Cloud Platform products and services such as Vision API, Recommendations API, Cloud Natural Language.
- An in-depth knowledge of AI techniques, their real-world advantages/drawbacks, and ability to prescribe and implement feasible and appropriate conventional/AI related techniques that serve as solutions to problems.
- Good knowledge of codebase shares like Gitlab, bitbucket, and CI/CD process
- Strong problem solving skills with an emphasis on business solution product development.
- Excellent written and verbal communication skills for coordinating across teams.
- Great team player but at the same time able to work independently with minimal supervision
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