Data Lead - Artificial Intelligence & Automation; Information Tec
Listed on 2026-02-16
-
IT/Tech
Data Engineer, AI Engineer
Data Lead - Artificial Intelligence & Automation (12 Month Fixed-Term Contract)
Location:
United Kingdom
:
REF
4155A
Job Function:
Information Technology
Company DescriptionSmiths Group designs, manufactures and delivers smarter engineering solutions for mission-critical applications, solving some of the world’s toughest problems for our customers, our communities and our world. For over 170 years, Smiths Group has been pioneering progress by improving the world through smarter engineering.
We serve millions of people every year, to help create a safer, more efficient and better-connected world, across four major global markets:
Energy, General Industry, Security & Defense, and Aerospace. Listed on the London Stock Exchange, Smiths employs 14,600 colleagues in over 50+ countries.
This pioneering spirit continues to drive us today, underpinned by our powerful culture. Improving our world is what we do, how we think, and how we will continue to use our passion for technology and engineering to tackle our customers biggest challenges today and in the future.
We’re looking for people with curious minds. Who want responsibility and relish a challenge. Whether you’re an experienced professional or just starting out, our global scale and focus on growth means we have some great career opportunities for you. There’s never been a better time to join Smiths.
- 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.
- Oversee the development and use of data, AI and Automation systems, driving the adoption of a centralised standard of these solutions across Smiths Group and its divisions, actively promoting CoDe. capabilities.
- Solutioning innovative ways to organise, AI and Automation processes through the creation and validation of algorithms, neural networks, and other machine learning techniques.
- 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 advice on new solutions that can improve the effectiveness of organisation.
- Help to solution, implement and maintain operating models that optimise onshore and offshore resourcing to create the maximum value for Smiths Group
- Manage and distribute workloads to the D&A team members, balancing the key strengths of the D&A team along with career aspirations, providing direction and day-to-day oversight, striving to deliver outstanding results.
- Take leading role in the growth of Team and support the development of D&A and Divisional team members through coaching and mentoring Data
Responsibilities:
- Develop Data, AI and automation solutions.
- Test, deploy, and maintain intelligent systems.
- Collaborate with data scientists and other engineers to integrate AI into broader system architecture.
- Stay current with AI trends and suggest improvements to existing systems and workflows.
- Create a Roadmap that delivers the vision and embeds capabilities to ensure master/reference data, data quality management, data cataloguing, data governance, traceability are established and governed as a foundational pillar, ensuring the use of trusted high-quality data across BIS and all divisions.
- Developing and managing data platform; data management; and tooling and access controls for all business and technical users
- Provide business focused data-related guidance and thought leadership across data architecture, data governance and data integration, and the associated technologies
- Ensure all D&A deliveries are performance assessed and can execute within response times within business acceptable criteria.
- Lead on the development and maintenance of dashboards, forms, and other tools to facilitate the interaction with data management systems for non-technical users
- Implement and regularly review existing data management policies to make sure that they…
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