Tech product owner ai Work, Jobs (with Salaries)

Tech Product Owner - AI
HSBC Global Services Limited —London
- Full-time
- Azure
- AWS
- APIs
9d
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Quick apply
Product Owner
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- £40,000 - £55,000 a year
- Full-time
- Hybrid work
- No degree
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Product Owner
AND Digital —Leeds
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Product Manager III - B2B AI Solutions
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AI Platform Product Manager - Private Markets
MSCI —London
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Lead Technical Product Owner (Adobe Customer Journey Analytics)
Sky —London
- Full-time
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- Free parking
- Employee discount
Digital & AI Product Manager - Vice President
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Tech PO Asset Securitisation
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Odevo —London
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1d
Technical Product Owner
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Applied AI – Index Research & Development
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Droid
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- Analysis skills
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Forward Deployed Technical Talent Community - Speculative Pipeline
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Senior Product Designer- 6 Mth FTC
ZEPZ TECHNOLOGY SERVICES LIMITED —Remote
- Remote
- Master's degree
- Analysis skills
- Bachelor's degree
- Annual leave
- Employee discount
AI Engineer
Network Plus —Salford
- £60,000 - £65,000 a year
- Hybrid work
- Azure
- System design
- AI
Quick apply
1d

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Tech Product Owner - AI

HSBC Global Services Limited -
London

Apply Now

Job details

Full-time
9 days ago

Qualifications

SAFe
Azure
Cloud architecture
Kubernetes
Google Cloud Platform
AWS
APIs
AI

Full job description

Ready to shape how AI moves safely from prototype to production at scale?

Why HSBC

HSBC is one of the largest banking and financial services organisations in the world. Guided by our purpose of opening up a world of opportunity, our ambition is to become the world’s most trusted bank globally, putting customers at the heart of everything we do.

The Role

This role owns the product strategy and delivery for the Group Functions Technology AI roadmap. You’ll translate a clear platform vision into a multi-quarter plan that increases AI ambition through practical, use case-driven outcomes. Working across technology and business teams you’ll build shared capabilities that make it easier to experiment, deploy, monitor and govern AI solutions. Success means measurable adoption, reliability, cost and risk outcomes across the AI lifecycle. You’ll embed controls by design for model risk management, data privacy, security and auditability so solutions can scale safely across the organisation. You’ll also provide clear reporting and updates for senior executives to support decisions and prioritisation.

What you'll be doing

Define the vision for standardised AI/ML tooling, reusable services and governed pathways to production
Translate strategy into a multi-quarter roadmap with clear priorities across capability build, reliability, technical debt and controls
Establish OKRs and KPIs for adoption, reliability, cost and risk outcomes
Represent internal customers across Engineering, Analytics, Risk, Compliance and business-aligned AI teams
Run discovery across the AI lifecycle to identify friction points and validate solutions through prototypes and MVPs
Own the backlog, acceptance criteria and release planning using Agile and Lean delivery practices
Coordinate dependencies across cloud, data platforms, identity and access, cyber security and production operations
Embed operability into delivery including monitoring, alerting and runbooks alongside feature completion
Embed controls by design for model risk management, data privacy, security and auditability across AI use cases
Provide concise updates and reporting for senior stakeholders on progress, risks, decisions needed and value delivered

What we're looking for

Bring substantial experience as a Technical Product Manager or Product Owner delivering internal platforms at enterprise scale
Demonstrate technical fluency across cloud-native architecture, containers and Kubernetes, CI/CD, APIs and event-driven patterns
Apply AI engineering experience including the use of coding agents such as Claude or Codex
Use strong working knowledge of data and ML concepts such as training vs inference, feature stores, model registry, drift, bias and evaluation
Apply observability and SRE practices including metrics, logs, traces, SLOs and incident management
Embed security, privacy and risk controls into product delivery with clear governance and auditability
Own backlog management and prioritisation with explicit trade-offs across value, reliability, cost and control requirements
Communicate effectively with executive audiences through decision papers, roadmaps and governance packs
Hold PSPO, CSPO, SAFe POPM or equivalent certification or bring equivalent demonstrable product delivery experience
Hold AWS, Azure, GCP or Kubernetes certification or bring equivalent demonstrable cloud platform experience

Building HSBC’s AI Platform Roadmap

If you want to shape how AI capabilities are built, governed and scaled across Group Functions Technology this role offers real scope to make that happen. You’ll set the direction for shared AI platform capabilities and turn it into delivery that teams can adopt quickly and operate safely. The work spans technology, risk and business stakeholders with decisions that influence how AI is used across the organisation. If this sounds like the kind of platform and governance work you want to own we’d welcome your application.

Apply Now

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