IT Senior Manager - Data and AI

Posted 13 Days Ago
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London, Greater London, England, GBR
In-Office
Senior level
Food • Manufacturing
The Role
Lead enterprise Data, Analytics and AI product strategy and portfolio, driving solution design, delivery, governance and lifecycle management. Coach solution designers, manage vendors, ensure platform reuse (including SAP integration), and deploy responsible Generative and Agentic AI solutions while partnering with governance, data quality and business stakeholders to realize measurable value.
Summary Generated by Built In

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

Strategy & Innovation
  • 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.
Data Product Portfolio Management & Governance
  • 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.
Solution Design Leadership
  • 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.
Delivery & Data/AI Product Management
  • 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.
Stakeholder Engagement & Leadership
  • 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.
Continuous Improvement
  • 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 applying Data Governance, Data Quality and Data Catalogue standards within delivery, in partnership with a governance function.

  • Excellent stakeholder management, influencing and communication skills, with the credibility to engage senior stakeholders.

  • Exceptional analytical, problem-solving and decision-making abilities, with experience leading cross-functional teams.

Preferred

  • Experience establishing Data Product Ownership models and leading Data Product organisations or Centres of Excellence.

  • Experience with enterprise Data Catalogue platforms such as Microsoft Purview, Collibra or Alation.

  • Experience with enterprise operational and planning systems such as OMP and industrial data platforms.

  • Experience with enterprise AI governance, Responsible AI and AI operating models.

  • Scrum Master, Agile, Cloud, Data or AI certifications; experience leading global teams and strategic transformation programmes.

What You'll Get
As business operating in 50 countries worldwide, we offer a global rewards package to all employees alongside a range of country-specific benefits. The global package includes a bonus scheme, 16-week Equal Parental Leave and mental health & well-being support.

  • Flexible working policy

  • Competitive salary

  • Discretionary annual bonus

  • Excellent employer pension contribution

  • Personal private medical insurance

  • Life assurance

Tate & Lyle is an equal opportunity employer, committed to the strength of an inclusive workforce.

Skills Required

  • Proven leadership experience in Data, Analytics, AI or technology delivery, managing teams and delivery partners
  • Strong Data Product Management experience 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 applying Data Governance, Data Quality and Data Catalogue standards within delivery, in partnership with a governance function
  • Excellent stakeholder management, influencing and communication skills, with credibility to engage senior stakeholders
  • Exceptional analytical, problem-solving and decision-making abilities, with experience leading cross-functional teams
  • Experience establishing Data Product Ownership models and leading Data Product organisations or Centres of Excellence
  • Experience with enterprise Data Catalogue platforms such as Microsoft Purview, Collibra or Alation
  • Experience with enterprise operational and planning systems such as OMP and industrial data platforms
  • Experience with enterprise AI governance, Responsible AI and AI operating models
  • Scrum Master, Agile, Cloud, Data or AI certifications; experience leading global teams and strategic transformation programmes
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The Company
HQ: London
3,273 Employees
Year Founded: 1859

What We Do

Tate & Lyle's purpose, Transforming Lives Through the Science of Food, inspires everything we do. Whether it’s by making food and drink healthier and tastier; continuously improving how we work; promoting a safe working environment; or making a difference to our local communities, we believe we can successfully grow our business and have a positive impact on society. What is it we do? Simply put, we make healthy food tastier and tasty food healthier. Our work is driven by consumer health needs and trends, governments desire to build and support healthy communities, and the need for affordable food and nutrition in many parts of the world. We deliver ingredients and solutions to meet all these needs. Our speciality sweeteners and fibres help reduce sugar and calories. Our fibres fortify food and improve digestive health. Our texturants and stabilising systems help extend shelf-life and make food manufacturing easier. Across the globe, we are transforming lives through the science of food. And we need talented and skilled people to help us on this journey

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