Data Engineering Lead - AI & Data Automation

Michael Page; West Midlands; On-site; GBP 120,000 - 180,000; Full time

Benefits offered by this job

Global FTSE100 exposure

Leadership coaching

Job summary

Michael Page is seeking an AI Product Lead to establish, manage, and evolve the company's Data, AI and Automation capabilities. You will drive centralised data solutions across the group and oversee the development and use of AI/automation systems.

You will lead a distributed team (offshore + UK) and collaborate with senior management to execute the strategic plan and deliver measurable AI outcomes across business units.

Qualifications

• Educated to degree level with a deep interest in AI innovation and automation.
• Direct experience with ML, DL, NLP or computer vision is highly desirable.
• Proficiency in Python, Java, and R; experience with AI frameworks (TensorFlow or PyTorch) is valued.

Responsibilities

• Oversee offshore team of developers and a growing UK team.
• Design, deliver, and support Data, AI, and automation solutions, including analytics, models, dashboards, and related platforms.
• Own the roadmap for trusted data foundations across the group, including data quality, governance, and access controls.
• Provide leadership on security and authorisations for accessing AI and Automation solutions.
• Partner with business stakeholders to shape requirements and promote adoption through documentation and training.

Skills

Data governance

Data architecture

AI leadership

Python

Java

R

TensorFlow

PyTorch

Machine learning

NLP

Data quality

Cloud data services

BI tools

Data security

Education

Bachelor's degree in a technical field

Tools

PowerBI

OBIEE

Tableau

QlikView

Azure

Job description

This Global FTSE100 are seeking an AI Product Lead to establish, manage, and evolve the company's Data, AI and Automation processes, support senior management in developing and achieving the organisations strategic plan as well as the development and delivery of the data, AI and Automation capabilities. You will oversee the development and use of data, AI and Automation systems, driving the adoption of centralised solutions across the group.

Global FTSE100

Description

This Global FTSE100 are seeking an AI Product Lead to establish, manage, and evolve the company's Data, AI and Automation processes, support senior management in developing and achieving the organisations strategic plan as well as the development and delivery of the data, AI and Automation capabilities. You will be responsible for overseeing the development and use of data, AI and Automation systems, driving the adoption of a centralised standard of these solutions across the group.

Key Responsibilities

• Remote management of an offshore team of 12 developers and a growing team of 2 in the UK
• Solutioning innovative ways to organise AI and automation processes, overseeing data / software development
• Design, deliver, and support Data, AI, and automation solutions, including analytics, models, dashboards, and related platforms.
• Own the roadmap for trusted data foundations across the group, covering master/reference data, data quality, governance, cataloguing, traceability, and access controls.
• Provide leadership on the implementation of security & authorisations best practice for accessing AI and Automation solutions.
• Work proactively with internal and key business partners that contribute to the delivery of analytic, AI models through projects and BAU, exploring new analytics and dashboard tools and where appropriate, advise on new solutions that can improve the effectiveness of organisation.
• Take a leading role in the growth of the team and support the development of D&A and Divisional team members through coaching and mentoring
• Provide technical and business leadership across data architecture, integration, visualisation, and emerging AI technologies, ensuring solutions are scalable, secure, and aligned to business needs.
• Establish and maintain effective data management policies, standards, and operational controls, including code promotion, platform administration, performance monitoring, and compliance with company and legal requirements.
• Partner with divisional and business stakeholders to shape requirements, resolve data issues, and enable adoption through documentation, training, and user support.
• Support team effectiveness through mentoring, workload and capacity visibility, regular reporting, and leadership of team engagement activities.

Technical Knowledge, Skills and Abilities

• Educated to degree level or equivalent with a deep interest in AI innovation and automation
• Direct experience with machine learning, deep learning, NLP or computer vision is highly desirable
• Proficiency in Python, Java, and R
• Strong knowledge of AI frameworks such as TensorFlow or PyTorch.
• Experience in Data Science techniques and methodologies.
• Excellent problem-solving skills and ability to work in a team environment.
• Thorough and proven understanding of the principles of data security, management, and administration
• Excellent understanding of data administration and management functions (collection, analysis, distribution etc.)
• Experience in BI tools (PowerBi, OBIEE, Tableau, QlikView etc).
• Technical experience and knowledge in On-Premise and Public Cloud Data Services focused on: Database architecture, ETL, Data Mining, Business Intelligence, Big Data, Data Governance, Data quality, Data Cleansing
• Business functional knowledge - able to work with Business SMEs to relate the process to the underlying data.
• ERP experience and implementations (nice to have)
• Excellent organisational and project management skills
• Passionate and curious about new technology and the tech industry
• General understanding of PaaS Concepts - ideally in MS-Azure

Profile

• Educated to degree level or equivalent with a deep interest in AI innovation and automation
• Direct experience with machine learning, deep learning, NLP or computer vision is highly desirable
• Proficiency in Python, Java, and R
• Strong knowledge of AI frameworks such as TensorFlow or PyTorch.
• Experience in Data Science techniques and methodologies.
• Excellent problem-solving skills and ability to work in a team environment.
• Thorough and proven understanding of the principles of data security, management, and administration
• Excellent understanding of data administration and management functions (collection, analysis, distribution etc.)
• Experience in BI tools (PowerBi, OBIEE, Tableau, QlikView etc).
• Technical experience and knowledge in On-Premise and Public Cloud Data Services focused on: Database architecture, ETL, Data Mining, Business Intelligence, Big Data, Data Governance, Data quality, Data Cleansing
• Business functional knowledge - able to work with Business SMEs to relate the process to the underlying data.
• ERP experience and implementations (nice to have)
• Excellent organisational and project management skills
• Passionate and curious about new technology and the tech industry
• General understanding of PaaS Concepts - ideally in MS-Azure

Job Offer

Opportunity to join a Global FTSE100

Opportunity to deliver AI Enablement & Strategy

Client Details

Global FTSE100

Desired Skills and Experience

This Global FTSE100 are seeking an AI Product Lead to establish, manage, and evolve the company's Data, AI and Automation processes, support senior management in developing and achieving the organisations strategic plan as well as the development and delivery of the data, AI and Automation capabilities. You will be responsible for overseeing the development and use of data, AI and Automation systems, driving the adoption of a centralised standard of these solutions across the group.

• Remote management of an offshore team of 12 developers and a growing team of 2 in the UK
• Solutioning innovative ways to organise AI and automation processes, overseeing data / software development
• Design, deliver, and support Data, AI, and automation solutions, including analytics, models, dashboards, and related platforms.
• Own the roadmap for trusted data foundations across the group, covering master/reference data, data quality, governance, cataloguing, traceability, and access controls.
• Provide leadership on the implementation of security & authorisations best practice for accessing AI and Automation solutions.
• Work proactively with internal and key business partners that contribute to the delivery of analytic, AI models through projects and BAU, exploring new analytics and dashboard tools and where appropriate, advise on new solutions that can improve the effectiveness of organisation.
• Take a leading role in the growth of the team and support the development of D&A and Divisional team members through coaching and mentoring
• Provide technical and business leadership across data architecture, integration, visualisation, and emerging AI technologies, ensuring solutions are scalable, secure, and aligned to business needs.
• Establish and maintain effective data management policies, standards, and operational controls, including code promotion, platform administration, performance monitoring, and compliance with company and legal requirements.
• Partner with divisional and business stakeholders to shape requirements, resolve data issues, and enable adoption through documentation, training, and user support.
• Support team effectiveness through mentoring, workload and capacity visibility, regular reporting, and leadership of team engagement activities.

• Educated to degree level or equivalent with a deep interest in AI innovation and automation
• Direct experience with machine learning, deep learning, NLP or computer vision is highly desirable
• Proficiency in Python, Java, and R
• Strong knowledge of AI frameworks such as TensorFlow or PyTorch.
• Experience in Data Science techniques and methodologies.
• Azure Datalake, Databricks, Python (Azure Reference architecture).
• Excellent problem-solving skills and ability to work in a team environment.
• Thorough and proven understanding of the principles of data security, management, and administration
• Excellent understanding of data administration and management functions (collection, analysis, distribution etc.)
• Experience in BI tools (PowerBi, OBIEE, Tableau, QlikView etc).
• Technical experience and knowledge in On-Premise and Public Cloud Data Services focused on: Database architecture, ETL, Data Mining, Business Intelligence, Big Data, Data Governance, Data quality, Data Cleansing
• Business functional knowledge - able to work with Business SMEs to relate the process to the underlying data.
• ERP experience and implementations (nice to have)
• Excellent organisational and project management skills
• Passionate and curious about new technology and the tech industry
• General understanding of PaaS Concepts - ideally in MS-Azure

• Educated to degree level or equivalent with a deep interest in AI innovation and automation
• Direct experience with machine learning, deep learning, NLP or computer vision is highly desirable
• Proficiency in Python, Java, and R
• Strong knowledge of AI frameworks such as TensorFlow or PyTorch.
• Experience in Data Science techniques and methodologies.
• Azure Datalake, Databricks, Python (Azure Reference architecture).
• Excellent problem-solving skills and ability to work in a team environment.
• Thorough and proven understanding of the principles of data security, management, and administration
• Excellent understanding of data administration and management functions (collection, analysis, distribution etc.)
• Experience in BI tools (PowerBi, OBIEE, Tableau, QlikView etc).
• Technical experience and knowledge in On-Premise and Public Cloud Data Services focused on: Database architecture, ETL, Data Mining, Business Intelligence, Big Data, Data Governance, Data quality, Data Cleansing
• Business functional knowledge - able to work with Business SMEs to relate the process to the underlying data.
• ERP experience and implementations (nice to have)
• Excellent organisational and project management skills
• Passionate and curious about new technology and the tech industry
• General understanding of PaaS Concepts - ideally in MS-Azure