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AI Product Owner

ExperiencedNo visa sponsorship
HSBC logo

at HSBC

Other

Posted 9 days ago

No clicks

**AI Product Owner:** Drive GenAI product lifecycle, from vision to continuous improvement. Key responsibilities include defining product strategy, prioritizing backlog, and shaping solutions using large language models and prompt engineering. Collaborate cross-functionally with engineering, data, and ML teams. Leverage experience in product ownership and Generative AI to ensure secure, scalable, and supportable solutions.

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

Full Job Description

We are currently seeking a high calibre professional to join our team as a AI Product Owner.

In this role you will:

  • Own the GenAI product vision, strategy and roadmap, identifying high-value use cases and translating emerging GenAI capabilities into practical enterprise products.
  • Lead GenAI products through the full lifecycle: discovery, use-case assessment, experimentation, prioritisation, delivery, launch, adoption and continuous improvement.
  • Define and prioritise the GenAI backlog, balancing colleague value, model capability, user experience, technical dependencies, cost, operational resilience and risk.
  • Work closely with engineering, data, architecture and machine-learning specialists to shape requirements and deliver solutions using technologies such as large language models, prompt engineering and AI evaluation.
  • Embed responsible GenAI controls and measurable outcomes, addressing model safety, data privacy, cybersecurity, confidentiality, data leakage, inaccurate outputs, bias, misuse and inappropriate access.

To be successful you will need:

  • Proven experience owning and delivering technology products end to end, from discovery and requirements through roadmap management, delivery, launch, adoption and continuous improvement.
  • Strong practical knowledge of Generative AI, including large language models, prompt engineering, AI evaluation, model safety and translating GenAI opportunities into enterprise products.
  • Demonstrable ability to work with engineering, data, architecture, machine learning, cybersecurity, risk and compliance teams to deliver secure, scalable and supportable technology solutions.
  • Experience prioritising product backlogs and making informed trade-offs across user value, technical dependencies, cost, operational resilience, security, regulatory requirements and risk.
  • Proven leadership and stakeholder-management experience, including influencing senior stakeholders and leading, coaching or supporting Product Managers and analysts in a complex organisation.

AI Product Owner

Compensation

Not specified

City: Not specified

Country: Not specified

HSBC logo
Other

9 days ago

No clicks

at HSBC

ExperiencedNo visa sponsorship

**AI Product Owner:** Drive GenAI product lifecycle, from vision to continuous improvement. Key responsibilities include defining product strategy, prioritizing backlog, and shaping solutions using large language models and prompt engineering. Collaborate cross-functionally with engineering, data, and ML teams. Leverage experience in product ownership and Generative AI to ensure secure, scalable, and supportable solutions.

Full Job Description

We are currently seeking a high calibre professional to join our team as a AI Product Owner.

In this role you will:

  • Own the GenAI product vision, strategy and roadmap, identifying high-value use cases and translating emerging GenAI capabilities into practical enterprise products.
  • Lead GenAI products through the full lifecycle: discovery, use-case assessment, experimentation, prioritisation, delivery, launch, adoption and continuous improvement.
  • Define and prioritise the GenAI backlog, balancing colleague value, model capability, user experience, technical dependencies, cost, operational resilience and risk.
  • Work closely with engineering, data, architecture and machine-learning specialists to shape requirements and deliver solutions using technologies such as large language models, prompt engineering and AI evaluation.
  • Embed responsible GenAI controls and measurable outcomes, addressing model safety, data privacy, cybersecurity, confidentiality, data leakage, inaccurate outputs, bias, misuse and inappropriate access.

To be successful you will need:

  • Proven experience owning and delivering technology products end to end, from discovery and requirements through roadmap management, delivery, launch, adoption and continuous improvement.
  • Strong practical knowledge of Generative AI, including large language models, prompt engineering, AI evaluation, model safety and translating GenAI opportunities into enterprise products.
  • Demonstrable ability to work with engineering, data, architecture, machine learning, cybersecurity, risk and compliance teams to deliver secure, scalable and supportable technology solutions.
  • Experience prioritising product backlogs and making informed trade-offs across user value, technical dependencies, cost, operational resilience, security, regulatory requirements and risk.
  • Proven leadership and stakeholder-management experience, including influencing senior stakeholders and leading, coaching or supporting Product Managers and analysts in a complex organisation.