Senior Product Manager, Data & AI Insights

Plentific; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Private healthcare

25 days annual holiday

Flexible working including abroad

Life insurance at 4× salary

Learning platform (Udemy)

Job summary

Plentific is seeking a Senior Product Manager, Data and Insights to own end-to-end data products, from the model and pipelines to client-facing analytics and AI features. You will collaborate with data engineering, analytics and science teams, and work with product managers who own repairs and compliance.

You will prototype with AI tools and ensure data contracts and governance are in place. You will lead data strategy, quality and semantic layer decisions, and report to the Head of Product in a

Qualifications

• 8+ years of product management experience in data/analytics/platforms.
• Experience shipping data/analytics-intensive products with measurable results.
• Experience collaborating with data engineering, analytics and data science teams.
• Bachelor's degree in a quantitative field or equivalent experience.

Responsibilities

• Own data & insight product strategy from data model to client-facing views.
• Align data roadmap with AI roadmap and commercial goals.
• Grow data value in client relationships via analytics tiers, data services and APIs.
• Define compliant, repairs performance and spend reporting for client portfolios.
• Identify models for forecasting from historical maintenance data and act on insights.
• Ship platform features that translate insights into measurable outcomes.

Skills

Data stack

SQL

BI Tools

Dimensional modelling

Data quality

ML evaluation

UK GDPR

Stakeholder communication

AI prototyping

Leadership

Education

Bachelor's degree in CS/Engineering/Data Science

Tools

Looker

Power BI

Tableau

Metabase

Hex

Job description

Plentific is seeking a Senior Product Manager, Data and Insights to own end-to-end data products, from the model and pipelines to client-facing analytics and AI features. You will collaborate with data engineering, analytics and science teams, and work with product managers who own repairs and compliance.

You will prototype with AI tools and ensure data contracts and governance are in place. You will lead data strategy, quality and semantic layer decisions, and report to the Head of Product in a