AI Data Product Manager

1 day ago

Kuala Lumpur, Kuala Lumpur, Malaysia Sunia Full time 90,000 - 120,000 per year

Role Overview

As an AI Data Product Manager, you will be the bridge between our data, engineering, and product teams. You will drive the strategy and execution of AI data products, ensuring they meet market needs and align with our business goals. You will manage product lifecycle, prioritize data requirements, and ensure smooth collaboration to create high-impact AI solutions.

Key Responsibilities

  • Develop and execute the product strategy for AI data products, aligning with company goals.
  • Collaborate with data scientists, engineers, and stakeholders to define product requirements and ensure data-driven solutions.
  • Manage the product roadmap and prioritize features to maximize business value and meet deadlines.
  • Define key performance indicators (KPIs) to measure the success of data products and make data-driven decisions.
  • Conduct market research and user feedback analysis to identify trends and opportunities for new data product features.
  • Lead cross-functional teams in the development and launch of AI data products, ensuring timely and high-quality delivery.
  • Work closely with the AI and engineering teams to ensure seamless integration of data products into AI models and applications.
  • Manage the data lifecycle, from data collection and storage to processing and utilization.
  • Ensure compliance with data privacy regulations and industry standards.

Qualifications

  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.
  • Proven experience (3+ years) as a Product Manager, preferably in AI or data-driven products.
  • Strong understanding of AI/ML technologies, data processing, and data analytics.
  • Experience in managing AI data products and working with cross-functional teams.
  • Ability to define and communicate product vision, roadmap, and features to stakeholders.
  • Strong analytical, problem-solving, and decision-making skills.
  • Excellent communication and leadership skills to collaborate with diverse teams.
  • Experience with agile methodologies and product management tools.

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