Home › Companies › Wsd › Product Owner
Product Owner
Wsd · London, London, City of, E14 5NR, United Kingdom · Active · BambooHR
Job facts
| Field | Value |
|---|---|
| Company | Wsd |
| Title | Product Owner |
| Normalized title | - |
| Department / team | Data Products |
| Location | London, London, City of |
| Work model | - |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | BambooHR |
| Posted / first seen | 2026-04-13 / 2026-05-30 |
| Changed / last seen | 2026-06-09 / 2026-06-21 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Wsd. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through BambooHR. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in London. | Open |
| Department jobs | Active postings in Data Products. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Wsd |
| Source | 9226a374-f276-4559-8871-2b602b648abb |
| ATS provider | BambooHR |
Description
Location: Flexible (London / Frankfurt)
About the Role
We are looking for a Product Owner to lead our Data Hub platform — a core part of our next-generation architecture for structured product data and distribution. This is not a traditional Product Owner role.
You will take ownership of transforming Data Hub from a set of operational workflows into a scalable, automation-first platform , powered by Agentic AI . Your mission is simple but ambitious:
Eliminate manual data operations by building intelligent, self-service, AI-driven workflows.
What You’ll Be Owning
As Product Owner, you will have end-to-end responsibility for Data Hub — including:
Product strategy and roadmap
Data ingestion, mapping, and distribution workflows
Platform design and scalability
Operational performance
You will work at the intersection of:
Product
Data modelling
Engineering
Automation and AI
What You’ll Be Driving
1. Build an AI-Native Data Platform
Design and evolve Data Hub into an AI-first platform
Introduce Agentic AI workflows that:
automatically map and transform data
validate and enrich inbound datasets
resolve common issues without human intervention
2. Eliminate Manual Operations
Identify areas where humans are:
performing repeat mapping work
fixing data issues
managing client-specific workflows
Replace these with:
reusable frameworks
intelligent automation
AI-driven decisioning
3. Simplify and Standardise
Move away from:
fragmented, client-specific implementations
Toward:
standardised product capabilities
configuration-driven workflows
4. Define the Future of Data Distribution
Build a model where clients:
submit a single product representation
automatically distribute to multiple channels
Drive:
clean data models
consistent mapping frameworks
scalable integration patterns
5. Lead Across Product and Engineering
Work closely with engineering teams to deliver:
event-driven, modular architecture
highly reusable components
Prioritise across:
platform build
client delivery
automation opportunities
What This Role Is NOT
This is not a role focused on:
running service teams
managing tickets or manual workflows
scaling headcount to support operations
Instead, you are expected to: Design systems that make those needs disappear
What Good Looks Like
Within this role, you will:
Significantly reduce manual mapping and data operations
Increase the proportion of workflows handled autonomously
Accelerate onboarding of new clients and data formats
Create a platform that is:
scalable
consistent
highly automated
What We’re Looking For
Experience
Strong background in structured products, financial data, or data distribution
Experience in:
product ownership or product management
data modelling and transformation workflows
mapping frameworks or reference data
Mindset
Automation-first thinking
Strong bias toward simplification and standardisation
Comfortable operating across:
product
engineering
domain expertise
Nice to Have
Experience with:
IBT / structured product ecosystems
data integration platforms
AI/ML or automation tooling
Why This Role Matters
This is a foundational role in shaping our next-generation platform.
You are not maintaining an existing system — you are defining:
how data platforms should operate
how AI can be used to remove operational friction
how products scale without increasing operational cost
Summary
You will own Data Hub as a product and evolve it into an Agentic AI–driven platform , where data ingestion, mapping, and distribution are handled through automation and intelligent workflows , not manual operations.
If you have the skills, experience & drive to excel in this challenging and rewarding role, we would love to hear from you. Apply today and take the next step in your career with us!
WSD is an employer that values diversity. We highly encourage applications from appropriately qualified and eligible candidates irrespective of age, race, religion, national origin, gender, sexual orientation, gender identity and/or expression, veteran status, disability, or any other status protected by applicable law.
Full job record
| Job ID | 07c28f8990562a279161671a79086772cf12927a |
| Org ID | 73274beb-06ec-45f9-beff-fb73236f8c66 |
| Source ID | 9226a374-f276-4559-8871-2b602b648abb |
| Board ID | 9226a374-f276-4559-8871-2b602b648abb |
| Provider | bamboohr |
| Provider Job Key | 237 |
| Title | Product Owner |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | London, London, City of, E14 5NR, United Kingdom |
| Department | Data Products |
| Team | — |
| Employment Type | full_time |
| Workplace Type | — |
| Remote Policy | — |
| Country | — |
| Region | London, City of |
| City | London |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://wsd.bamboohr.com/careers/237 |
| Apply URL | https://wsd.bamboohr.com/careers/237 |
| First Seen At | 2026-05-30 05:58:01Z |
| Last Seen At | 2026-06-21 11:08:15Z |
| Last Checked At | 2026-06-21 11:08:15Z |
| Last Changed At | 2026-06-09 10:26:10Z |
| Inactive At | — |
| Source Posted At | 2026-04-13 00:00:00Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=wsd/date=2026-06-21/2026-06-21T11-08-13-011Z-fdecd90970c118b0fc048062a99e7ab00eeca060c22917f5b21a3440d491ae70.json |
Event Fields
{
"content_hash": "ba83cbb72fed22c78f80d8012f25ad897c83fd331372fdfa6dd0e53ad5cc1424",
"source_hash": "08df6bb38fde355015a78ddfb5ecdd12777aeb717c42f3fe2b33ba305b24c719",
"last_changed_at": "2026-06-09T10:26:10.937Z",
"active_status": "active"
}Parsed Structured
{
"dedupe": null,
"language": "en",
"location": {
"raw": "London, London, City of, E14 5NR, United Kingdom",
"city": "London",
"region": "London, City of",
"country": null,
"is_remote": false,
"confidence": 0.8
},
"salary_max": null,
"salary_min": null,
"inferred_at": "2026-06-21T11:08:15.968Z",
"launch_scope": {
"reason": "bamboohr_production_catalog",
"included": true,
"location": {
"raw": "London, London, City of, E14 5NR, United Kingdom",
"city": "London",
"region": "London, City of",
"country": null,
"is_remote": false,
"confidence": 0.8
},
"countries": []
},
"remote_policy": null,
"salary_period": null,
"workplace_type": null,
"salary_currency": null
}Extensions
{}Native Structured
{
"list_job": {
"id": "237",
"isRemote": null,
"location": {
"city": "London",
"state": "London, City of"
},
"atsLocation": {
"city": null,
"state": null,
"country": null,
"province": null
},
"departmentId": "18772",
"locationType": "2",
"jobOpeningName": "Product Owner",
"departmentLabel": "Data Products",
"employmentStatusLabel": "Full-Time"
},
"detail_errors": [],
"detail_job_opening": {
"location": {
"city": "London",
"state": "London, City of",
"postalCode": "E14 5NR",
"addressCountry": "United Kingdom"
},
"datePosted": "2026-04-13",
"atsLocation": {
"city": null,
"state": null,
"country": null,
"countryId": null
},
"description": "<p><span style=\"font-size: 12pt\"><span style=\"font-weight: bold\">Location:</span> Flexible (London / Frankfurt)</span><br><br></p>\n<p><span style=\"font-size: 12pt\"><span style=\"font-weight: bold\">About the Role</span></span></p>\n<p><span style=\"font-size: 12pt\">We are looking for a <span style=\"font-weight: bold\">Product Owner to lead our Data Hub platform</span> — a core part of our next-generation architecture for structured product data and distribution. </span><span style=\"font-size: 12pt\">This is not a traditional Product Owner role.</span></p>\n<p><span style=\"font-size: 12pt\">You will take ownership of transforming Data Hub from a set of operational workflows into a <span style=\"font-weight: bold\">scalable, automation-first platform</span>, powered by <span style=\"font-weight: bold\">Agentic AI</span>. </span><span style=\"font-size: 12pt\">Your mission is simple but ambitious:</span></p>\n<p><span style=\"font-size: 12pt; font-weight: bold\">Eliminate manual data operations by building intelligent, self-service, AI-driven workflows.</span></p>\n<p><span style=\"font-size: 12pt\"><br></span></p>\n<p><span style=\"font-size: 12pt\"><span style=\"font-weight: bold\">What You’ll Be Owning</span></span></p>\n<p><span style=\"font-size: 12pt\">As Product Owner, you will have <span style=\"font-weight: bold\">end-to-end responsibility</span> for Data Hub — including:</span></p>\n<ul>\n<li><span style=\"font-size: 12pt\">Product strategy and roadmap</span></li>\n<li><span style=\"font-size: 12pt\">Data ingestion, mapping, and distribution workflows</span></li>\n<li><span style=\"font-size: 12pt\">Platform design and scalability</span></li>\n<li><span style=\"font-size: 12pt\">Operational performance</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-size: 12pt\">You will work at the intersection of:</span></p>\n<ul>\n<li><span style=\"font-size: 12pt; font-weight: bold\">Product</span></li>\n<li><span style=\"font-size: 12pt; font-weight: bold\">Data modelling</span></li>\n<li><span style=\"font-size: 12pt; font-weight: bold\">Engineering</span></li>\n<li><span style=\"font-size: 12pt; font-weight: bold\">Automation and AI</span></li>\n</ul>\n<p><span style=\"font-size: 12pt\"><br></span></p>\n<p><span style=\"font-size: 12pt\"><span style=\"font-weight: bold\">What You’ll Be Driving</span></span></p>\n<p><span style=\"font-size: 12pt\"><span style=\"font-weight: bold\">1. Build an AI-Native Data Platform</span></span></p>\n<ul>\n<li><span style=\"font-size: 12pt\">Design and evolve Data Hub into an <span style=\"font-weight: bold\">AI-first platform</span></span></li>\n<li><span style=\"font-size: 12pt\">Introduce <span style=\"font-weight: bold\">Agentic AI workflows</span> that:</span>\n<ul>\n<li><span style=\"font-size: 12pt\">automatically map and transform data</span></li>\n<li><span style=\"font-size: 12pt\">validate and enrich inbound datasets</span></li>\n<li><span style=\"font-size: 12pt\">resolve common issues without human intervention</span></li>\n</ul>\n</li>\n</ul>\n<p><span style=\"font-size: 12pt\"><span style=\"font-weight: bold\">2. Eliminate Manual Operations</span></span></p>\n<ul>\n<li><span style=\"font-size: 12pt\">Identify areas where humans are:</span>\n<ul>\n<li><span style=\"font-size: 12pt\">performing repeat mapping work</span></li>\n<li><span style=\"font-size: 12pt\">fixing data issues</span></li>\n<li><span style=\"font-size: 12pt\">managing client-specific workflows</span></li>\n</ul>\n</li>\n<li><span style=\"font-size: 12pt\">Replace these with:</span>\n<ul>\n<li><span style=\"font-size: 12pt\">reusable frameworks</span></li>\n<li><span style=\"font-size: 12pt\">intelligent automation</span></li>\n<li><span style=\"font-size: 12pt\">AI-driven decisioning</span></li>\n</ul>\n</li>\n</ul>\n<p><span style=\"font-size: 12pt\"><span style=\"font-weight: bold\">3. Simplify and Standardise</span></span></p>\n<ul>\n<li><span style=\"font-size: 12pt\">Move away from:</span>\n<ul>\n<li><span style=\"font-size: 12pt\">fragmented, client-specific implementations</span></li>\n</ul>\n</li>\n<li><span style=\"font-size: 12pt\">Toward:</span>\n<ul>\n<li><span style=\"font-size: 12pt; font-weight: bold\">standardised product capabilities</span></li>\n<li><span style=\"font-size: 12pt; font-weight: bold\">configuration-driven workflows</span></li>\n</ul>\n</li>\n</ul>\n<p><span style=\"font-size: 12pt\"><span style=\"font-weight: bold\">4. Define the Future of Data Distribution</span></span></p>\n<ul>\n<li><span style=\"font-size: 12pt\">Build a model where clients:</span>\n<ul>\n<li><span style=\"font-size: 12pt\">submit a single product representation</span></li>\n<li><span style=\"font-size: 12pt\">automatically distribute to multiple channels</span></li>\n</ul>\n</li>\n<li><span style=\"font-size: 12pt\">Drive:</span>\n<ul>\n<li><span style=\"font-size: 12pt\">clean data models</span></li>\n<li><span style=\"font-size: 12pt\">consistent mapping frameworks</span></li>\n<li><span style=\"font-size: 12pt\">scalable integration patterns</span></li>\n</ul>\n</li>\n</ul>\n<p><span style=\"font-size: 12pt\"><span style=\"font-weight: bold\">5. Lead Across Product and Engineering</span></span></p>\n<ul>\n<li><span style=\"font-size: 12pt\">Work closely with engineering teams to deliver:</span>\n<ul>\n<li><span style=\"font-size: 12pt\">event-driven, modular architecture</span></li>\n<li><span style=\"font-size: 12pt\">highly reusable components</span></li>\n</ul>\n</li>\n<li><span style=\"font-size: 12pt\">Prioritise across:</span>\n<ul>\n<li><span style=\"font-size: 12pt\">platform build</span></li>\n<li><span style=\"font-size: 12pt\">client delivery</span></li>\n<li><span style=\"font-size: 12pt\">automation opportunities</span></li>\n</ul>\n</li>\n</ul>\n<p><span style=\"font-size: 12pt\"><br></span></p>\n<p><span style=\"font-size: 12pt\"><span style=\"font-weight: bold\">What This Role Is NOT</span></span></p>\n<p><span style=\"font-size: 12pt\">This is <span style=\"font-weight: bold\">not</span> a role focused on:</span></p>\n<ul>\n<li><span style=\"font-size: 12pt\">running service teams</span></li>\n<li><span style=\"font-size: 12pt\">managing tickets or manual workflows</span></li>\n<li><span style=\"font-size: 12pt\">scaling headcount to support operations</span></li>\n</ul>\n<p><span style=\"font-size: 12pt\">Instead, you are expected to: </span><span style=\"font-size: 12pt; font-weight: bold\">Design systems that make those needs disappear</span></p>\n<p><span style=\"font-size: 12pt\"><br></span></p>\n<p><span style=\"font-size: 12pt\"><span style=\"font-weight: bold\">What Good Looks Like</span></span></p>\n<p><span style=\"font-size: 12pt\">Within this role, you will:</span></p>\n<ul>\n<li><span style=\"font-size: 12pt\">Significantly reduce manual mapping and data operations</span></li>\n<li><span style=\"font-size: 12pt\">Increase the proportion of workflows handled autonomously</span></li>\n<li><span style=\"font-size: 12pt\">Accelerate onboarding of new clients and data formats</span></li>\n<li><span style=\"font-size: 12pt\">Create a platform that is:</span>\n<ul>\n<li><span style=\"font-size: 12pt\">scalable</span></li>\n<li><span style=\"font-size: 12pt\">consistent</span></li>\n<li><span style=\"font-size: 12pt\">highly automated</span></li>\n</ul>\n</li>\n</ul>\n<p><span style=\"font-size: 12pt\"><br></span></p>\n<p><span style=\"font-size: 12pt\"><span style=\"font-weight: bold\">What We’re Looking For</span></span></p>\n<p><span style=\"font-size: 12pt\"><span style=\"font-weight: bold\">Experience</span></span></p>\n<ul>\n<li><span style=\"font-size: 12pt\">Strong background in <span style=\"font-weight: bold\">structured products, financial data, or data distribution</span></span></li>\n<li><span style=\"font-size: 12pt\">Experience in:</span>\n<ul>\n<li><span style=\"font-size: 12pt\">product ownership or product management</span></li>\n<li><span style=\"font-size: 12pt\">data modelling and transformation workflows</span></li>\n<li><span style=\"font-size: 12pt\">mapping frameworks or reference data</span></li>\n</ul>\n</li>\n</ul>\n<p><span style=\"font-size: 12pt\"><span style=\"font-weight: bold\">Mindset</span></span></p>\n<ul>\n<li><span style=\"font-size: 12pt\">Automation-first thinking</span></li>\n<li><span style=\"font-size: 12pt\">Strong bias toward <span style=\"font-weight: bold\">simplification and standardisation</span></span></li>\n<li><span style=\"font-size: 12pt\">Comfortable operating across:</span>\n<ul>\n<li><span style=\"font-size: 12pt\">product</span></li>\n<li><span style=\"font-size: 12pt\">engineering</span></li>\n<li><span style=\"font-size: 12pt\">domain expertise</span></li>\n</ul>\n</li>\n</ul>\n<p><span style=\"font-size: 12pt\"><span style=\"font-weight: bold\">Nice to Have</span></span></p>\n<ul>\n<li><span style=\"font-size: 12pt\">Experience with:</span>\n<ul>\n<li><span style=\"font-size: 12pt\">IBT / structured product ecosystems</span></li>\n<li><span style=\"font-size: 12pt\">data integration platforms</span></li>\n<li><span style=\"font-size: 12pt\">AI/ML or automation tooling</span></li>\n</ul>\n</li>\n</ul>\n<p><span style=\"font-size: 12pt\"><br></span></p>\n<p><span style=\"font-size: 12pt\"><span style=\"font-weight: bold\">Why This Role Matters</span></span></p>\n<p><span style=\"font-size: 12pt\">This is a <span style=\"font-weight: bold\">foundational role</span> in shaping our next-generation platform.</span></p>\n<p><span style=\"font-size: 12pt\">You are not maintaining an existing system — you are defining:</span></p>\n<ul>\n<li><span style=\"font-size: 12pt\">how data platforms should operate</span></li>\n<li><span style=\"font-size: 12pt\">how AI can be used to remove operational friction</span></li>\n<li><span style=\"font-size: 12pt\">how products scale without increasing operational cost</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-size: 12pt\"><span style=\"font-weight: bold\">Summary</span></span></p>\n<p><span style=\"font-size: 12pt\">You will own Data Hub as a product and evolve it into an <span style=\"font-weight: bold\">Agentic AI–driven platform</span>, where data ingestion, mapping, and distribution are handled through <span style=\"font-weight: bold\">automation and intelligent workflows</span>, not manual operations.</span></p>\n<p><span style=\"color: rgb(51, 51, 0); font-size: 12pt\">If you have the skills, experience & drive to excel in this challenging and rewarding role, we would love to hear from you. Apply today and take the next step in your career with us!</span></p>\n<p><br></p>\n<p><span style=\"color: #4a4a4a; font-size: 16px\"><em>WSD is an employer that values diversity. We highly encourage applications from appropriately qualified and eligible candidates irrespective of age, race, religion, national origin, gender, sexual orientation, gender identity and/or expression, veteran status, disability, or any other status protected by applicable law.</em></span></p>",
"compensation": null,
"departmentId": "18772",
"locationType": "2",
"seekPromoted": false,
"jobCategoryId": null,
"jobOpeningName": "Product Owner",
"departmentLabel": "Data Products",
"jobOpeningStatus": "Open",
"minimumExperience": null,
"jobOpeningShareUrl": "https://wsd.bamboohr.com/careers/237",
"employmentStatusLabel": "Full-Time"
}
}Get this page with API
Rendered from the bluedoor Job Postings API. Reproduce it:
GET https://api.bluedoor.sh/job-postings/v1/jobs/07c28f8990562a279161671a79086772cf12927a?include=descriptionJSONGET https://api.bluedoor.sh/job-postings/v1/orgs/73274beb-06ec-45f9-beff-fb73236f8c66JSONGET https://api.bluedoor.sh/job-postings/v1/sources/9226a374-f276-4559-8871-2b602b648abbJSONGET https://api.bluedoor.sh/job-postings/v1/jobs/07c28f8990562a279161671a79086772cf12927a/eventsJSON