AI Data Product Manager

AI Data Product Manager

Posted 1 week ago by RED Global

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Negotiable
Inside
Hybrid
London Area, United Kingdom
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Artificial Intelligence Data Analysis Data Lakes Management Product Management Product Roadmaps Python (Programming Language) SQL (Programming Language) Stakeholder Communications Stakeholder Management

Summary: The Data Product Manager – AI role involves managing the development of data platforms and AI-enabled products, requiring a hybrid working arrangement with three days onsite in London. This position is an initial six-month contract and is classified as inside IR35. The role demands extensive experience in product management, particularly within regulated industries, and strong technical skills in AI/ML ecosystems.

Key Responsibilities:

  • Manage product roadmaps and stakeholder communication.
  • Deliver data platforms and AI-enabled products.
  • Lead cross-functional teams in a fast-changing environment.
  • Utilize strong analytical and problem-solving skills.
  • Work with data warehouses, data lakes, feature stores, and MLOps concepts.
  • Conduct data analysis and utilize visualization tools.

Key Skills:

  • 5+ years of Product Management experience.
  • Strong knowledge of AI/ML ecosystems and data platforms.
  • Proficient in SQL and Python.
  • Experience with data analysis and visualization tools.
  • Strong communication and leadership skills.
  • Ability to work in ambiguous environments.
  • Entrepreneurial mindset with a hands-on approach.
  • Experience in regulated industries preferred.

Salary (Rate): undetermined

City: London

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: inside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Role: Data Product Manager – AI Hybrid role – 3 days onsite in London. Initial 6-month contract. Inside IR35

Required Skills

  • 5+ years of Product Management experience.
  • Experience delivering data platforms and AI-enabled products.
  • Strong knowledge of AI/ML ecosystems and data platforms.
  • Experience with data warehouses, data lakes, feature stores, and MLOps concepts.
  • Strong SQL and Python knowledge.
  • Experience with data analysis and visualization tools.
  • Ability to manage product roadmaps and stakeholder communication.
  • Experience working in regulated industries is preferred.
  • Strong communication and leadership skills.
  • Ability to work in fast-changing and ambiguous environments.
  • Strong analytical and problem-solving skills.
  • Experience leading cross-functional teams.
  • Entrepreneurial mindset with a hands-on approach.
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