AI & Data Product Manager – Data Platforms (Databricks)

Ampstek

United Kingdom

Remote

GBP 90,000 - 130,000

Full time

3 days ago
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Job summary

Ampstek is seeking an experienced AI & Data Product Manager to define product strategy, drive AI-powered business transformation, and deliver value through modern data platforms and Generative AI solutions. Remote with UK travel as needed.

You will own product backlogs, define KPIs, and collaborate with Data Engineers, AI Engineers, Architects, and business teams to translate challenges into AI-driven, scalable solutions that create measurable business impact.

Qualifications

  • Experience in AI/Data product leadership and delivering AI-based value.
  • Ability to translate business challenges into scalable AI solutions.
  • Strong stakeholder management and executive-facing communication.

Responsibilities

  • Define product vision, strategy, roadmap, and value realization for Data & AI products.

Skills

AI Product Owner
Data Product Owner
Product Manager
Management Consultant
Generative AI
Agentic AI
Machine Learning
Data Analytics
Cloud Data Platforms

Tools

GitHub Copilot
Databricks Mosaic AI
MLflow
Azure AI Foundry

Job description

Location: Remote – UK (Must be open to travel when required)

Eligibility: Minimum 5 years of continuous UK residency

Role Overview

We are looking for an experienced AI & Data Product Manager to define product strategy, drive AI-powered business transformation, and deliver value through modern data platforms and Generative AI solutions.

Key Responsibilities
  • Define product vision, strategy, roadmap, and value realization for Data & AI products.
  • Identify and prioritize AI, GenAI, analytics, and automation opportunities with business stakeholders.
  • Translate business challenges into scalable AI-driven solutions.
  • Lead product discovery, business case development, value estimation, and prioritization.
  • Drive AI use cases involving Copilot, AI Agents, RAG, Knowledge Assistants, Intelligent Automation, and Predictive Analytics.
  • Collaborate with Data Engineers, AI Engineers, Architects, and business teams.
  • Own product backlogs, user stories, acceptance criteria, and product releases.
  • Define and track KPIs, adoption metrics, and business value.
Required Skills & Experience
  • Experience as an AI Product Owner, Data Product Owner, Product Manager, or Management Consultant.
  • Strong understanding of Generative AI, Agentic AI, Machine Learning, Data Analytics, and enterprise data platforms.
  • Familiarity with Microsoft Copilot, Azure AI Foundry, GitHub Copilot, Claude, Databricks Mosaic AI, and MLflow.
  • Knowledge of Data Lakehouse, Data Warehouse, analytics, and modern cloud data platforms.
  • Experience developing product strategies, business cases, investment proposals, and executive-level presentations.
  • Excellent stakeholder management, consulting, facilitation, and communication skills.
  • Industrial sector experience is desirable.
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