Data & AI Product Owner

Experis (Austria)

City Of London

Hybrid

GBP 81,000 - 107,000

Full time

14 days+

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Job summary

Experis in London is seeking a Data & AI Product Owner to lead a major data transformation programme, focusing on AI, analytics and data platform solutions. You will define vision, strategy and roadmaps across a portfolio of Data & AI products and align AI-driven outcomes with business goals.

The role requires strong PM experience in Data & AI, consulting or digital transformation, and familiarity with modern cloud data platforms. Hybrid onsite work in London is expected.

Qualifications

  • Proven experience in Data Product Owner, AI Product Owner or Data & AI consulting.
  • Strong knowledge of Generative AI, agentic AI, ML and data analytics.
  • Experience with enterprise data platforms and modern analytics environments.
  • Familiarity with Databricks, Data Lakehouse and cloud data platforms.
  • Experience delivering AI-driven products in large organisations.
  • Strong stakeholder management, facilitation and communication skills.
  • Experience owning product roadmaps, business cases and value realisation activities.
  • Ability to translate complex business requirements into actionable product outcomes.
  • Strong understanding of Agile delivery methodologies and product management practices.

Responsibilities

  • Define and own the product vision, strategy and roadmap for Data & AI products.
  • Partner with business stakeholders to identify, prioritise and shape AI, GenAI, Analytics and Automation opportunities.
  • Act as a trusted advisor, translating business challenges into scalable, AI-driven solutions.
  • Lead product discovery activities, business case development and value realisation initiatives.
  • Drive prioritisation and delivery of AI use cases including Copilot, AI Agents, RAG, Knowledge Assistants and Intelligent Automation.
  • Collaborate with Data Engineers, AI Engineers, Architects and business teams throughout the product lifecycle.
  • Manage and refine the product backlog, user stories and acceptance criteria.
  • Define and monitor KPIs, adoption metrics and business value outcomes.
  • Support product releases and ensure successful stakeholder engagement and adoption.
  • Present product strategies, investment proposals and programme updates to senior stakeholders and leadership teams.

Skills

Data Product Owner
AI Product Owner
Product Manager
Data & AI Consultant
Generative AI
Agentic AI
Machine Learning
Data Analytics
Enterprise Data Platforms
Analytics Environments
Databricks
Data Lakehouse
Cloud Platforms
AI Products
Stakeholder Mgmt
Roadmaps
Business Cases
Value Realisation
Business Requirements
Product Outcomes
Agile
PM Practices

Job description

Role: Data & AI Product Owner

Duration: 12 Months
Location: London (2-3 days per week onsite)
Day Rate: £510 Inside IR35

Overview

We are seeking an experienced Data & AI Product Owner to join a major enterprise data transformation programme focused on delivering innovative AI, analytics and data platform solutions.

This role will be responsible for defining product vision, strategy and roadmaps across a portfolio of Data & AI products, helping business stakeholders unlock value through Generative AI, intelligent automation and advanced analytics. You will act as the bridge between business and technology teams, ensuring AI-driven solutions align with strategic objectives and deliver measurable business outcomes.

The position is ideal for someone with a strong background in Product Management, Data & AI, Consulting or Digital Transformation, combined with experience working across modern cloud data platforms and AI ecosystems.

Role Responsibilities
  • Define and own the product vision, strategy and roadmap for Data & AI products.
  • Partner with business stakeholders to identify, prioritise and shape AI, GenAI, Analytics and Automation opportunities.
  • Act as a trusted advisor, translating business challenges into scalable, AI-driven solutions.
  • Lead product discovery activities, business case development and value realisation initiatives.
  • Drive prioritisation and delivery of AI use cases including Copilot, AI Agents, RAG, Knowledge Assistants and Intelligent Automation.
  • Collaborate with Data Engineers, AI Engineers, Architects and business teams throughout the product lifecycle.
  • Manage and refine the product backlog, user stories and acceptance criteria.
  • Define and monitor KPIs, adoption metrics and business value outcomes.
  • Support product releases and ensure successful stakeholder engagement and adoption.
  • Present product strategies, investment proposals and programme updates to senior stakeholders and leadership teams.
Skills Required
  • Proven experience as a Data Product Owner, AI Product Owner, Product Manager or Data & AI Consultant.
  • Strong understanding of Generative AI, Agentic AI, Machine Learning and Data Analytics.
  • Experience working with enterprise data platforms and modern analytics environments.
  • Knowledge of Databricks, Data Lakehouse and cloud-based data platforms.
  • Experience delivering AI-driven products and solutions within large organisations.
  • Strong stakeholder management, facilitation and communication skills.
  • Experience owning product roadmaps, business cases and value realisation activities.
  • Ability to translate complex business requirements into actionable product outcomes.
  • Strong understanding of Agile delivery methodologies and product management practices.
Desirable Skills
  • Experience with Microsoft Copilot, GitHub Copilot and Azure AI Foundry.
  • Knowledge of Databricks Mosaic AI and MLflow.
  • Experience delivering RAG, AI Agent and Knowledge Assistant solutions.
  • Background in Management Consulting or Digital Transformation.
  • Experience working across Data Engineering, AI Engineering and Analytics teams.
  • Exposure to intelligent automation and predictive analytics solutions.
  • Experience presenting to executive and C-level stakeholders.
  • Previous experience within large-scale enterprise transformation programmes.
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