IT Senior Manager Data and AI

About Us
Tate and Lyle is a successful organisation with a clear purpose ambition strategy and strong expert talent solely focused on achieving its ambition as a world class ingredients solutions provider. We have expanded our plant-based footprint beyond corn into tapioca stevia leaf chickpea protein and soluble fibre to explore wider platforms for achieving our ambition. Achieving this ambition will require; development of new capabilities reallocation of resources and investment to become a leaner more agile company leveraging latest technology process insight and ways of working.

Role Purpose

The Senior Manager Data and AI leads the strategy design delivery and lifecycle management of enterprise Data Analytics and AI products that enable business transformation and deliver measurable value. The role owns the enterprise Data & AI Product Portfolio ensuring business demand is translated into scalable reusable and governed data products catalogued assigned accountable Product Owners and continuously improved as enduring strategic assets rather than one-off projects.

Providing leadership across demand management solution design delivery execution vendor management and AI innovation the role drives the development and scaling of Data Analytics Data Science Generative AI and Agentic AI use cases in partnership with business stakeholders. It requires strong leadership commercial acumen vendor management expertise and the credibility to engage senior stakeholders across the organisation.

Key Responsibilities

• Support the development and execution of the enterprise Data Analytics and AI strategy and drive adoption of Generative and Agentic AI capabilities across the business.
• Identify and develop innovative opportunities that deliver measurable business value.

• Define establish and manage the enterprise Data & AI Product Portfolio aligned to strategic priorities leading portfolio prioritisation and investment decisions.
• Maintain a roadmap of reusable data products analytics capabilities and AI solutions within a product-centric operating model with clear ownership funding and lifecycle management.
• Ensure delivered data products are registered in the enterprise Data Catalogue with accountable Product Owners assigned and comply with the metadata and governance standards defined by the Enterprise Data Governance function.

• Partner with the Enterprise Data Governance and Data Quality functions to apply their standards and monitor adoption business value and satisfaction to drive continuous product enhancement.

• Lead and develop the D&A Solution Design capability coaching Solution Designers and delivery teams and establish design standards and best practices.
• Ensure solution designs align to business requirements enterprise architecture and security standards and embed the data governance quality metadata and catalogue requirements defined by the Enterprise Data Governance function.
• Partner with the Data Platform and Engineering teams to ensure solutions are built on and maximise reuse of the enterprise data platform integrating SAP and other core source systems and meet scalability operability and other non-functional requirements.

• Manage the end-to-end lifecycle of Data Analytics and AI products from ideation to retirement overseeing prioritisation resource planning and delivery governance.
• Ensure products are delivered within agreed timelines scope budget and quality transitioning them into sustainable product and support models with mechanisms for value realisation.
• Lead the secure and responsible deployment of AI Generative AI and Agentic AI solutions.

• Manage strategic delivery partners and suppliers to drive delivery performance and innovation partnering with Procurement on commercial arrangements.

• Act as a trusted advisor to business and technology leaders presenting strategy roadmaps business cases and delivery outcomes to leadership teams governance forums and external audiences.
• Build strong relationships across business functions and influence strategic decision-making.

• Drive operational excellence across solution design delivery and AI capabilities with KPIs covering product adoption data quality catalogue health and value realisation.
• Monitor and improve portfolio health and business value and ensure compliance with corporate governance security risk and regulatory requirements.

Skills & Experience

Essential

• Proven leadership experience in Data Analytics AI or technology delivery managing teams and delivery partners.

• Strong Data Product Management experience ideally within an enterprise data product portfolio or product-centric operating model.

• Strong solution design and enterprise delivery-management experience across Data Analytics and AI initiatives including AI and Generative AI solutions.

• Strong SAP delivery and solution experience .

• Experience…