Product Owner
1 week ago
What you'll do :
- Lead the development of innovative Generative AI products, ensuring strategic alignment with business goals.
- Champion user needs by evangelizing and driving widespread adoption of your Generative AI products across the organization.
- Collaborate with cross-functional teams - AI, data science, engineering, marketing - to transform ideas into reality.
- Integrate Generative AI assets seamlessly into existing enterprise data pipelines and platforms for optimal performance.
- Define and track key performance indicators (KPIs) to measure product success and drive continuous improvement.
- Clearly communicate capabilities and value propositions to diverse stakeholders, including technical and non-technical audiences.
You're a perfect fit if you have :
- Bachelor's degree in analytics (Data Science, Computer Science, Engineering) with 7+ years of experience in data science, analytics, engineering, or product management.
- 2-3 years of hands-on product management experience, demonstrating a track record of successful product launches.
- 2+ years of software development experience (ML-adjacent projects preferred), with a deep understanding of software development and design principles.
- Experience working with various types of data and a strong understanding of the entire data science lifecycle (data engineering, EDA, Machine Learning, MLOps, Serving).
- Experience working in Agile teams and a passion for collaborative innovation.
- Hands-on experience developing Machine Learning-based products with Large Language Models and Generative AI solutions is a big plus
- Excellent written and verbal communication skills to effectively engage with both technical and non-technical audiences.
Bonus points for :
- Advanced degree in Data Science, Computer Science, or related field.
- Experience with data science platforms like Dataiku Data Science Studio or AWS SageMaker.
- Developed and operated parametrized, automated, and reusable analytic workflows.
- Knowledge of Pharma & Life Science commercial functions and data literacy.
(ref:hirist.tech)-
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