Technical Product Lead (Machine Learning & AI)

Wyatt Partners; London; On-site; GBP 80,000 - 120,000; Full time

Job summary

Wyatt Partners seeks a Head of Technical Product to lead a team focused on machine learning and AI solutions. This pivotal role involves collaboration with product leaders to enhance customer experiences, requiring a strong background in data science, excellent communication skills, and leadership in a rapidly transforming digital environment.

Qualifications

• Experience transitioning from Developer or Data Scientist to product-focused role.
• Strong communication skills with technical and business stakeholders.

Responsibilities

• Build and lead a team of 4 Technical Product Managers.
• Serve as a bridge between Engineers/Developers and business stakeholders.
• Contribute to major Digital & AI transformations.

Skills

Data Science

AI

Data Analytics

Communication

Tools

Python

SQL

Job description

Technical Product Lead (Machine Learning & AI)

A large corporate undergoing major digital & data transformation, implementing AI & ML solutions to enhance Customer Experience.

They are seeking a Head of Technical Product to join their internal “Software Scale-up” team. You will work with a group dedicated to delivering ML & AI products to various product leaders and senior stakeholders within the organization.

Your responsibilities include building and leading a team of 4 Technical Product Managers and serving as the bridge between Engineers/Developers and business stakeholders.

The ideal candidate likely started as a Developer or Data Scientist and has transitioned into a Product Owner, Product Manager, or Business Analyst role. Strong communication skills with both technical and business audiences are essential.

You will play a pivotal role in one of the UK’s largest Digital & AI transformations.

Technical Experience:

• Background in Data Science, AI, or advanced Analytics
• Knowledge of data architecture and data processing technologies
• Experience with Python and SQL
• Familiarity with microservices and event-driven architectures
• Experience building data-driven software applications in areas such as:
• AI
• Data Science / Analytics
• Decision support systems
• Automation
• E-commerce
• Call centre tooling
• Operational management tooling
• ML and/or Data Ops