Ernst & Young Advisory Services Sdn Bhd
Manchester, Lancashire
Senior Manager, AI & Data, Data Strategist, Infrastructure TC UKI Location: Manchester Other Locations: Primary Location Only Date: 7 May 2026 Requisition ID: Position Overview We are seeking a Senior Manager grade AI and Data Strategist to guide and coordinate AI transformation initiatives for clients across the infrastructure sector. This role demands a strategic business technologist who can translate AI capabilities into tangible business value while designing the organisational frameworks needed to become an AI first enterprise. Lead an engagement workstream consisting of AI consultants and architects to define comprehensive AI and data strategies tailored to client organisations across consumer products, retail, health, energy, and life sciences sectors Bring current global thinking and trends in the AI, Automation and Data space including within EY. Carry out in depth analysis of infrastructure specific value chain and identify a portfolio of high impact AI use cases, to drive revenue growth, operational efficiency, and competitive differentiation Assess organisational AI and data maturity and create tailored roadmaps for transformation including business cases, operating models, organisational structure and capabilities required to deliver the strategy Direct the definition of high level business and technology architectures and operating models that enable scalable AI deployment (encompassing both data and automation) Lead cross functional workshops and design sessions with senior stakeholder to influence and align diverse stakeholder groups around a unified AI vision Present complex AI concepts and recommendations to senior leadership audiences Prioritise AI initiatives based on strategic value, feasibility, and organisational readiness Contribute to solution development and oversee quality of proposals for AI led transformation Provide mentorship and guidance to team members and develop reusable assets Support change management initiatives to embed AI driven and automation enabled culture across client organisations. Ensure strategies align with ethical AI principles, regulatory compliance (e.g., GDPR, AI Act), and risk mitigation frameworks. Support internal processes to approve designs and proposals that have integrity and are commercially sound Essential Qualifications STEM degree or an equivalent certification in Computer Science, Data Science, Engineering, or related field Strong experience of delivering enterprise level AI strategies for complex or multinational organisations Expertise and interest in the UK Infrastructure sector including HMG commitments such as National Infrastructure Strategy and Ten Point Plan for a Green Industrial Revolution. Experience in designing operating models and organisational structures for data and AI functions Experience of working with client organisations to write business or investment cases Strong understanding of AI/ML technologies, including generative AI, predictive analytics, NLP, data and Intelligent Automation Knowledge of modern data governance frameworks and architectures, cloud platforms, and AI infrastructure including DAMA Knowledge of AI governance frameworks, model risk management, and regulatory requirements Strategic thinking with demonstrated ability to translate complex technical concepts into business language Soft Skills Team leadership and coaching skills Communication and presentation skills. Stakeholder management skills, including facilitation and workshop design capabilities as well as the ability to influence senior stakeholders Demonstrated ability to collaborate in multi disciplinary teams (data scientists, engineers, business strategists) Continuous learning mindset to stay ahead of rapidly evolving AI landscape and strategies for deployment Strategic thinking with demonstrated ability to translate complex technical concepts into business language and explain how they drive business value Preferred Criteria Experience with Big 4 consulting methodologies and framework Preferred Qualification Certifications in relevant areas (e.g., cloud platforms, data governance, AI ethics, automation technologies)
31/05/2026
Full time
Senior Manager, AI & Data, Data Strategist, Infrastructure TC UKI Location: Manchester Other Locations: Primary Location Only Date: 7 May 2026 Requisition ID: Position Overview We are seeking a Senior Manager grade AI and Data Strategist to guide and coordinate AI transformation initiatives for clients across the infrastructure sector. This role demands a strategic business technologist who can translate AI capabilities into tangible business value while designing the organisational frameworks needed to become an AI first enterprise. Lead an engagement workstream consisting of AI consultants and architects to define comprehensive AI and data strategies tailored to client organisations across consumer products, retail, health, energy, and life sciences sectors Bring current global thinking and trends in the AI, Automation and Data space including within EY. Carry out in depth analysis of infrastructure specific value chain and identify a portfolio of high impact AI use cases, to drive revenue growth, operational efficiency, and competitive differentiation Assess organisational AI and data maturity and create tailored roadmaps for transformation including business cases, operating models, organisational structure and capabilities required to deliver the strategy Direct the definition of high level business and technology architectures and operating models that enable scalable AI deployment (encompassing both data and automation) Lead cross functional workshops and design sessions with senior stakeholder to influence and align diverse stakeholder groups around a unified AI vision Present complex AI concepts and recommendations to senior leadership audiences Prioritise AI initiatives based on strategic value, feasibility, and organisational readiness Contribute to solution development and oversee quality of proposals for AI led transformation Provide mentorship and guidance to team members and develop reusable assets Support change management initiatives to embed AI driven and automation enabled culture across client organisations. Ensure strategies align with ethical AI principles, regulatory compliance (e.g., GDPR, AI Act), and risk mitigation frameworks. Support internal processes to approve designs and proposals that have integrity and are commercially sound Essential Qualifications STEM degree or an equivalent certification in Computer Science, Data Science, Engineering, or related field Strong experience of delivering enterprise level AI strategies for complex or multinational organisations Expertise and interest in the UK Infrastructure sector including HMG commitments such as National Infrastructure Strategy and Ten Point Plan for a Green Industrial Revolution. Experience in designing operating models and organisational structures for data and AI functions Experience of working with client organisations to write business or investment cases Strong understanding of AI/ML technologies, including generative AI, predictive analytics, NLP, data and Intelligent Automation Knowledge of modern data governance frameworks and architectures, cloud platforms, and AI infrastructure including DAMA Knowledge of AI governance frameworks, model risk management, and regulatory requirements Strategic thinking with demonstrated ability to translate complex technical concepts into business language Soft Skills Team leadership and coaching skills Communication and presentation skills. Stakeholder management skills, including facilitation and workshop design capabilities as well as the ability to influence senior stakeholders Demonstrated ability to collaborate in multi disciplinary teams (data scientists, engineers, business strategists) Continuous learning mindset to stay ahead of rapidly evolving AI landscape and strategies for deployment Strategic thinking with demonstrated ability to translate complex technical concepts into business language and explain how they drive business value Preferred Criteria Experience with Big 4 consulting methodologies and framework Preferred Qualification Certifications in relevant areas (e.g., cloud platforms, data governance, AI ethics, automation technologies)
Ernst & Young Advisory Services Sdn Bhd
Manchester, Lancashire
Senior Manager, AI & Data, Data Strategist, TC UKI Location: Manchester Other locations: Primary Location Only Date: 21 Mar 2026 Requisition ID: AI and Data Strategist Grade: Senior Manager Position Overview We are seeking a Senior Manager grade AI and Data Strategist to guide and coordinate AI transformation initiatives for clients across multiple industry sectors. This role demands a strategic business technologist who can translate AI capabilities into tangible business value while designing the organisational frameworks needed to become an AI first enterprise. Lead an engagement workstream consisting of AI consultants and architects to define comprehensive AI and data strategies tailored to client organisations across consumer products, retail, health, energy, and life sciences sectors Bring current global thinking and trends in the AI, Automation and Data space including within EY. Carry out in depth analysis of industry specific value chain and identify a portfolio of high impact AI use cases, to drive revenue growth, operational efficiency, and competitive differentiation Assess organisational AI and data maturity and create tailored roadmaps for transformation including business cases, operating models, organisational structure and capabilities required to deliver the strategy Direct the definition of high level business and technology architectures and operating models that enable scalable AI deployment (encompassing both data and automation) Lead cross functional workshops and design sessions with senior stakeholder to influence and align diverse stakeholder groups around a unified AI vision Present complex AI concepts and recommendations to senior leadership audiences Prioritise AI initiatives based on strategic value, feasibility, and organisational readiness Contribute to solution development and oversee quality of proposals for AI led transformation Provide mentorship and guidance to team members and develop reusable assets Support change management initiatives to embed AI driven and automation enabled culture across client organisations. Ensure strategies align with ethical AI principles, regulatory compliance (e.g., GDPR, AI Act), and risk mitigation frameworks. Support internal processes to approve designs and proposals that have integrity and are commercially sound Essential Qualifications STEM degree or an equivalent certification in Computer Science, Data Science, Engineering, or related field Demonstrated experience of delivering enterprise level AI strategies for complex or multinational organisations Expertise in at least two of the following industries: consumer products, retail, healthcare, energy, or life sciences Able to oversee the design of operating models and organisational structures for data and AI functions Able to lead the interaction with client organisations to write business or investment cases Good understanding of the latest AI/ML technologies, including generative AI, predictive analytics, computer vision, and NLP Knowledge of modern data architectures, cloud platforms, and AI infrastructure including DAMA Knowledge of AI governance frameworks, model risk management, and regulatory requirements Soft Skills Team leadership and coaching skills Communication and presentation skills. Stakeholder management skills, including facilitation and workshop design capabilities as well as the ability to influence senior stakeholders Demonstrated ability to collaborate in multi disciplinary teams (data scientists, engineers, business strategists) Continuous learning mindset to stay ahead of rapidly evolving AI landscape and strategies for deployment Strategic thinking with demonstrated ability to translate complex technical concepts into business language and explain how they drive business value Preferred Criteria Experience with Big 4 consulting methodologies and framework Preferred Qualification Certifications in relevant areas (e.g., cloud platforms, data governance, AI ethics, automation technologies)
31/05/2026
Full time
Senior Manager, AI & Data, Data Strategist, TC UKI Location: Manchester Other locations: Primary Location Only Date: 21 Mar 2026 Requisition ID: AI and Data Strategist Grade: Senior Manager Position Overview We are seeking a Senior Manager grade AI and Data Strategist to guide and coordinate AI transformation initiatives for clients across multiple industry sectors. This role demands a strategic business technologist who can translate AI capabilities into tangible business value while designing the organisational frameworks needed to become an AI first enterprise. Lead an engagement workstream consisting of AI consultants and architects to define comprehensive AI and data strategies tailored to client organisations across consumer products, retail, health, energy, and life sciences sectors Bring current global thinking and trends in the AI, Automation and Data space including within EY. Carry out in depth analysis of industry specific value chain and identify a portfolio of high impact AI use cases, to drive revenue growth, operational efficiency, and competitive differentiation Assess organisational AI and data maturity and create tailored roadmaps for transformation including business cases, operating models, organisational structure and capabilities required to deliver the strategy Direct the definition of high level business and technology architectures and operating models that enable scalable AI deployment (encompassing both data and automation) Lead cross functional workshops and design sessions with senior stakeholder to influence and align diverse stakeholder groups around a unified AI vision Present complex AI concepts and recommendations to senior leadership audiences Prioritise AI initiatives based on strategic value, feasibility, and organisational readiness Contribute to solution development and oversee quality of proposals for AI led transformation Provide mentorship and guidance to team members and develop reusable assets Support change management initiatives to embed AI driven and automation enabled culture across client organisations. Ensure strategies align with ethical AI principles, regulatory compliance (e.g., GDPR, AI Act), and risk mitigation frameworks. Support internal processes to approve designs and proposals that have integrity and are commercially sound Essential Qualifications STEM degree or an equivalent certification in Computer Science, Data Science, Engineering, or related field Demonstrated experience of delivering enterprise level AI strategies for complex or multinational organisations Expertise in at least two of the following industries: consumer products, retail, healthcare, energy, or life sciences Able to oversee the design of operating models and organisational structures for data and AI functions Able to lead the interaction with client organisations to write business or investment cases Good understanding of the latest AI/ML technologies, including generative AI, predictive analytics, computer vision, and NLP Knowledge of modern data architectures, cloud platforms, and AI infrastructure including DAMA Knowledge of AI governance frameworks, model risk management, and regulatory requirements Soft Skills Team leadership and coaching skills Communication and presentation skills. Stakeholder management skills, including facilitation and workshop design capabilities as well as the ability to influence senior stakeholders Demonstrated ability to collaborate in multi disciplinary teams (data scientists, engineers, business strategists) Continuous learning mindset to stay ahead of rapidly evolving AI landscape and strategies for deployment Strategic thinking with demonstrated ability to translate complex technical concepts into business language and explain how they drive business value Preferred Criteria Experience with Big 4 consulting methodologies and framework Preferred Qualification Certifications in relevant areas (e.g., cloud platforms, data governance, AI ethics, automation technologies)
Ernst & Young Advisory Services Sdn Bhd
Manchester, Lancashire
Senior Manager, AI & Data, Data Strategist, Infrastructure TC UKI Location: Manchester Other locations: Primary Location Only Date: 7 May 2026 Requisition ID: At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. AI and Data Strategist Grade: Senior Manager Manchester and London Position Overview We are seeking a Senior Manager grade AI and Data Strategist to guide and coordinate AI transformation initiatives for clients across the infrastructure sector. This role demands a strategic business technologist who can translate AI capabilities into tangible business value while designing the organisational frameworks needed to become an AI-first enterprise. Lead an engagement workstream consisting of AI consultants and architects to define comprehensive AI and data strategies tailored to client organisations across consumer products, retail, health, energy, and life sciences sectors Bring current global thinking and trends in the AI, Automation and Data space including within EY. Carry out in-depth analysis of infrastructure-specific value chain and identify a portfolio of high impact AI use cases, to drive revenue growth, operational efficiency, and competitive differentiation Assess organisational AI and data maturity and create tailored roadmaps for transformation including business cases, operating models, organisational structure and capabilities required to deliver the strategy Direct the definition of high-level business and technology architectures and operating models that enable scalable AI deployment (encompassing both data and automation) Lead cross-functional workshops and design sessions with senior stakeholder to Influence and align diverse stakeholder groups around a unified AI vision Present complex AI concepts and recommendations to senior leadership audiences Prioritise AI initiatives based on strategic value, feasibility, and organisational readiness Contribute to solution development and oversee quality of proposals for AI-led transformation Provide mentorship and guidance to team members and develop reusable assets Support change management initiatives to embed AI-driven and automation-enabled culture across client organisations. Ensure strategies align with ethical AI principles, regulatory compliance (e.g., GDPR, AI Act), and risk mitigation frameworks. Support internal processes to approve designs and proposals that have integrity and are commercially sound Essential Qualifications STEM degree or an equivalent certification in Computer Science, Data Science, Engineering, or related field Strong experience of delivering enterprise-level AI strategies for complex or multinational organisations Expertise and interest in, the UK Infrastructure sector including HMG commitments such as National Infrastructure Strategy and Ten Point Plan for a Green Industrial Revolution. Experience in designing operating models and organisational structures for data and AI functions Experience of working with client organisations to write business or investment cases Strong understanding of AI/ML technologies, including generative AI, predictive analytics, NLP, data and Intelligent Automation Knowledge of modern data governance frameworks and architectures, cloud platforms, and AI infrastructure including DAMA Knowledge of AI governance frameworks, model risk management, and regulatory requirements Strategic thinking with demonstrated ability to translate complex technical concepts into business language Soft Skills Team leadership and coaching skills Communication and presentation skills. Stakeholder management skills, including facilitation and workshop design capabilities as well as the ability to influence senior stakeholders Demonstrated ability to collaborate in multi-disciplinary teams (data scientists, engineers, business strategists) Continuous learning mindset to stay ahead of rapidly evolving AI landscape and strategies for deployment Strategic thinking with demonstrated ability to translate complex technical concepts into business language and explain how they drive business value Preferred Criteria Experience with Big 4 consulting methodologies and framework Preferred Qualification Certifications in relevant areas (e.g., cloud platforms, data governance, AI ethics, automation technologies) EY Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. Select how often (in days) to receive an alert: EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Global Limited, each of which is a separate legal entity. Ernst & Young Global Limited, a UK company limited by guarantee, does not provide services to clients.
28/05/2026
Full time
Senior Manager, AI & Data, Data Strategist, Infrastructure TC UKI Location: Manchester Other locations: Primary Location Only Date: 7 May 2026 Requisition ID: At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. AI and Data Strategist Grade: Senior Manager Manchester and London Position Overview We are seeking a Senior Manager grade AI and Data Strategist to guide and coordinate AI transformation initiatives for clients across the infrastructure sector. This role demands a strategic business technologist who can translate AI capabilities into tangible business value while designing the organisational frameworks needed to become an AI-first enterprise. Lead an engagement workstream consisting of AI consultants and architects to define comprehensive AI and data strategies tailored to client organisations across consumer products, retail, health, energy, and life sciences sectors Bring current global thinking and trends in the AI, Automation and Data space including within EY. Carry out in-depth analysis of infrastructure-specific value chain and identify a portfolio of high impact AI use cases, to drive revenue growth, operational efficiency, and competitive differentiation Assess organisational AI and data maturity and create tailored roadmaps for transformation including business cases, operating models, organisational structure and capabilities required to deliver the strategy Direct the definition of high-level business and technology architectures and operating models that enable scalable AI deployment (encompassing both data and automation) Lead cross-functional workshops and design sessions with senior stakeholder to Influence and align diverse stakeholder groups around a unified AI vision Present complex AI concepts and recommendations to senior leadership audiences Prioritise AI initiatives based on strategic value, feasibility, and organisational readiness Contribute to solution development and oversee quality of proposals for AI-led transformation Provide mentorship and guidance to team members and develop reusable assets Support change management initiatives to embed AI-driven and automation-enabled culture across client organisations. Ensure strategies align with ethical AI principles, regulatory compliance (e.g., GDPR, AI Act), and risk mitigation frameworks. Support internal processes to approve designs and proposals that have integrity and are commercially sound Essential Qualifications STEM degree or an equivalent certification in Computer Science, Data Science, Engineering, or related field Strong experience of delivering enterprise-level AI strategies for complex or multinational organisations Expertise and interest in, the UK Infrastructure sector including HMG commitments such as National Infrastructure Strategy and Ten Point Plan for a Green Industrial Revolution. Experience in designing operating models and organisational structures for data and AI functions Experience of working with client organisations to write business or investment cases Strong understanding of AI/ML technologies, including generative AI, predictive analytics, NLP, data and Intelligent Automation Knowledge of modern data governance frameworks and architectures, cloud platforms, and AI infrastructure including DAMA Knowledge of AI governance frameworks, model risk management, and regulatory requirements Strategic thinking with demonstrated ability to translate complex technical concepts into business language Soft Skills Team leadership and coaching skills Communication and presentation skills. Stakeholder management skills, including facilitation and workshop design capabilities as well as the ability to influence senior stakeholders Demonstrated ability to collaborate in multi-disciplinary teams (data scientists, engineers, business strategists) Continuous learning mindset to stay ahead of rapidly evolving AI landscape and strategies for deployment Strategic thinking with demonstrated ability to translate complex technical concepts into business language and explain how they drive business value Preferred Criteria Experience with Big 4 consulting methodologies and framework Preferred Qualification Certifications in relevant areas (e.g., cloud platforms, data governance, AI ethics, automation technologies) EY Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. Select how often (in days) to receive an alert: EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Global Limited, each of which is a separate legal entity. Ernst & Young Global Limited, a UK company limited by guarantee, does not provide services to clients.
Ernst & Young Advisory Services Sdn Bhd
Manchester, Lancashire
Senior Manager, AI & Data, Data Strategist, Infrastructure TC UKI Location: Manchester Other locations: Primary Location Only Date: 7 May 2026 Requisition ID: At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. AI and Data Strategist Grade: Senior Manager Manchester and London Position Overview We are seeking a Senior Manager grade AI and Data Strategist to guide and coordinate AI transformation initiatives for clients across the infrastructure sector. This role demands a strategic business technologist who can translate AI capabilities into tangible business value while designing the organisational frameworks needed to become an AI-first enterprise. Lead an engagement workstream consisting of AI consultants and architects to define comprehensive AI and data strategies tailored to client organisations across consumer products, retail, health, energy, and life sciences sectors Bring current global thinking and trends in the AI, Automation and Data space including within EY. Carry out in-depth analysis of infrastructure-specific value chain and identify a portfolio of high impact AI use cases, to drive revenue growth, operational efficiency, and competitive differentiation Assess organisational AI and data maturity and create tailored roadmaps for transformation including business cases, operating models, organisational structure and capabilities required to deliver the strategy Direct the definition of high-level business and technology architectures and operating models that enable scalable AI deployment (encompassing both data and automation) Lead cross-functional workshops and design sessions with senior stakeholder to Influence and align diverse stakeholder groups around a unified AI vision Present complex AI concepts and recommendations to senior leadership audiences Prioritise AI initiatives based on strategic value, feasibility, and organisational readiness Contribute to solution development and oversee quality of proposals for AI-led transformation Provide mentorship and guidance to team members and develop reusable assets Support change management initiatives to embed AI-driven and automation-enabled culture across client organisations. Ensure strategies align with ethical AI principles, regulatory compliance (e.g., GDPR, AI Act), and risk mitigation frameworks. Support internal processes to approve designs and proposals that have integrity and are commercially sound Essential Qualifications STEM degree or an equivalent certification in Computer Science, Data Science, Engineering, or related field Strong experience of delivering enterprise-level AI strategies for complex or multinational organisations Expertise and interest in, the UK Infrastructure sector including HMG commitments such as National Infrastructure Strategy and Ten Point Plan for a Green Industrial Revolution. Experience in designing operating models and organisational structures for data and AI functions Experience of working with client organisations to write business or investment cases Strong understanding of AI/ML technologies, including generative AI, predictive analytics, NLP, data and Intelligent Automation Knowledge of modern data governance frameworks and architectures, cloud platforms, and AI infrastructure including DAMA Knowledge of AI governance frameworks, model risk management, and regulatory requirements Strategic thinking with demonstrated ability to translate complex technical concepts into business language Soft Skills Team leadership and coaching skills Communication and presentation skills. Stakeholder management skills, including facilitation and workshop design capabilities as well as the ability to influence senior stakeholders Demonstrated ability to collaborate in multi-disciplinary teams (data scientists, engineers, business strategists) Continuous learning mindset to stay ahead of rapidly evolving AI landscape and strategies for deployment Strategic thinking with demonstrated ability to translate complex technical concepts into business language and explain how they drive business value Preferred Criteria Experience with Big 4 consulting methodologies and framework Preferred Qualification Certifications in relevant areas (e.g., cloud platforms, data governance, AI ethics, automation technologies) EY Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. Select how often (in days) to receive an alert: EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Global Limited, each of which is a separate legal entity. Ernst & Young Global Limited, a UK company limited by guarantee, does not provide services to clients.
28/05/2026
Full time
Senior Manager, AI & Data, Data Strategist, Infrastructure TC UKI Location: Manchester Other locations: Primary Location Only Date: 7 May 2026 Requisition ID: At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. AI and Data Strategist Grade: Senior Manager Manchester and London Position Overview We are seeking a Senior Manager grade AI and Data Strategist to guide and coordinate AI transformation initiatives for clients across the infrastructure sector. This role demands a strategic business technologist who can translate AI capabilities into tangible business value while designing the organisational frameworks needed to become an AI-first enterprise. Lead an engagement workstream consisting of AI consultants and architects to define comprehensive AI and data strategies tailored to client organisations across consumer products, retail, health, energy, and life sciences sectors Bring current global thinking and trends in the AI, Automation and Data space including within EY. Carry out in-depth analysis of infrastructure-specific value chain and identify a portfolio of high impact AI use cases, to drive revenue growth, operational efficiency, and competitive differentiation Assess organisational AI and data maturity and create tailored roadmaps for transformation including business cases, operating models, organisational structure and capabilities required to deliver the strategy Direct the definition of high-level business and technology architectures and operating models that enable scalable AI deployment (encompassing both data and automation) Lead cross-functional workshops and design sessions with senior stakeholder to Influence and align diverse stakeholder groups around a unified AI vision Present complex AI concepts and recommendations to senior leadership audiences Prioritise AI initiatives based on strategic value, feasibility, and organisational readiness Contribute to solution development and oversee quality of proposals for AI-led transformation Provide mentorship and guidance to team members and develop reusable assets Support change management initiatives to embed AI-driven and automation-enabled culture across client organisations. Ensure strategies align with ethical AI principles, regulatory compliance (e.g., GDPR, AI Act), and risk mitigation frameworks. Support internal processes to approve designs and proposals that have integrity and are commercially sound Essential Qualifications STEM degree or an equivalent certification in Computer Science, Data Science, Engineering, or related field Strong experience of delivering enterprise-level AI strategies for complex or multinational organisations Expertise and interest in, the UK Infrastructure sector including HMG commitments such as National Infrastructure Strategy and Ten Point Plan for a Green Industrial Revolution. Experience in designing operating models and organisational structures for data and AI functions Experience of working with client organisations to write business or investment cases Strong understanding of AI/ML technologies, including generative AI, predictive analytics, NLP, data and Intelligent Automation Knowledge of modern data governance frameworks and architectures, cloud platforms, and AI infrastructure including DAMA Knowledge of AI governance frameworks, model risk management, and regulatory requirements Strategic thinking with demonstrated ability to translate complex technical concepts into business language Soft Skills Team leadership and coaching skills Communication and presentation skills. Stakeholder management skills, including facilitation and workshop design capabilities as well as the ability to influence senior stakeholders Demonstrated ability to collaborate in multi-disciplinary teams (data scientists, engineers, business strategists) Continuous learning mindset to stay ahead of rapidly evolving AI landscape and strategies for deployment Strategic thinking with demonstrated ability to translate complex technical concepts into business language and explain how they drive business value Preferred Criteria Experience with Big 4 consulting methodologies and framework Preferred Qualification Certifications in relevant areas (e.g., cloud platforms, data governance, AI ethics, automation technologies) EY Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. Select how often (in days) to receive an alert: EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Global Limited, each of which is a separate legal entity. Ernst & Young Global Limited, a UK company limited by guarantee, does not provide services to clients.
(INV) Senior Manager, AI & Data, Data Strategist, Infrastructure TC UKI Location: Manchester Other locations: Primary Location Only Salary: Competitive Date: 7 May 2026 Job description Requisition ID: At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. AI and Data Strategist Grade: Senior Manager Manchester and London Position Overview We are seeking a Senior Manager grade AI and Data Strategist to guide and coordinate AI transformation initiatives for clients across the infrastructure sector. This role demands a strategic business technologist who can translate AI capabilities into tangible business value while designing the organisational frameworks needed to become an AI first enterprise. Your client impact Lead an engagement workstream consisting of AI consultants and architects to define comprehensive AI and data strategies tailored to client organisations across consumer products, retail, health, energy, and life sciences sectors Bring current global thinking and trends in the AI, Automation and Data space including within EY Carry out in-depth analysis of infrastructure specific value chain and identify a portfolio of high impact AI use cases, to drive revenue growth, operational efficiency, and competitive differentiation Assess organisational AI and data maturity and create tailored roadmaps for transformation including business cases, operating models, organisational structure and capabilities required to deliver the strategy Direct the definition of high level business and technology architectures and operating models that enable scalable AI deployment (encompassing both data and automation) Lead cross functional workshops and design sessions with senior stakeholder to influence and align diverse stakeholder groups around a unified AI vision Present complex AI concepts and recommendations to senior leadership audiences Prioritise AI initiatives based on strategic value, feasibility, and organisational readiness Contribute to solution development and oversee quality of proposals for AI led transformation Provide mentorship and guidance to team members and develop reusable assets Support change management initiatives to embed AI driven and automation enabled culture across client organisations. Ensure strategies align with ethical AI principles, regulatory compliance (e.g. GDPR, AI Act), and risk mitigation frameworks. Support internal processes to approve designs and proposals that have integrity and are commercially sound Essential Qualifications STEM degree or equivalent certification in Computer Science, Data Science, Engineering, or related field Essential Criteria Strong experience delivering enterprise level AI strategies for complex or multinational organisations Expertise and interest in the UK Infrastructure sector including HMG commitments such as National Infrastructure Strategy and Ten Point Plan for a Green Industrial Revolution Experience in designing operating models and organisational structures for data and AI functions Experience of working with client organisations to write business or investment cases Strong understanding of AI/ML technologies, including generative AI, predictive analytics, NLP, data and Intelligent Automation Knowledge of modern data governance frameworks and architectures, cloud platforms, and AI infrastructure including DAMA Knowledge of AI governance frameworks, model risk management, and regulatory requirements Strategic thinking with demonstrated ability to translate complex technical concepts into business language Soft Skills Team leadership and coaching skills Communication and presentation skills Stakeholder management skills, including facilitation and workshop design capabilities as well as the ability to influence senior stakeholders Demonstrated ability to collaborate in multidisciplinary teams (data scientists, engineers, business strategists) Continuous learning mindset to stay ahead of rapidly evolving AI landscape and strategies for deployment Strategic thinking with demonstrated ability to translate complex technical concepts into business language and explain how they drive business value Preferred Criteria Experience with Big 4 consulting methodologies and framework Preferred Qualification Certifications in relevant areas (e.g., cloud platforms, data governance, AI ethics, automation technologies)
22/05/2026
Full time
(INV) Senior Manager, AI & Data, Data Strategist, Infrastructure TC UKI Location: Manchester Other locations: Primary Location Only Salary: Competitive Date: 7 May 2026 Job description Requisition ID: At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. AI and Data Strategist Grade: Senior Manager Manchester and London Position Overview We are seeking a Senior Manager grade AI and Data Strategist to guide and coordinate AI transformation initiatives for clients across the infrastructure sector. This role demands a strategic business technologist who can translate AI capabilities into tangible business value while designing the organisational frameworks needed to become an AI first enterprise. Your client impact Lead an engagement workstream consisting of AI consultants and architects to define comprehensive AI and data strategies tailored to client organisations across consumer products, retail, health, energy, and life sciences sectors Bring current global thinking and trends in the AI, Automation and Data space including within EY Carry out in-depth analysis of infrastructure specific value chain and identify a portfolio of high impact AI use cases, to drive revenue growth, operational efficiency, and competitive differentiation Assess organisational AI and data maturity and create tailored roadmaps for transformation including business cases, operating models, organisational structure and capabilities required to deliver the strategy Direct the definition of high level business and technology architectures and operating models that enable scalable AI deployment (encompassing both data and automation) Lead cross functional workshops and design sessions with senior stakeholder to influence and align diverse stakeholder groups around a unified AI vision Present complex AI concepts and recommendations to senior leadership audiences Prioritise AI initiatives based on strategic value, feasibility, and organisational readiness Contribute to solution development and oversee quality of proposals for AI led transformation Provide mentorship and guidance to team members and develop reusable assets Support change management initiatives to embed AI driven and automation enabled culture across client organisations. Ensure strategies align with ethical AI principles, regulatory compliance (e.g. GDPR, AI Act), and risk mitigation frameworks. Support internal processes to approve designs and proposals that have integrity and are commercially sound Essential Qualifications STEM degree or equivalent certification in Computer Science, Data Science, Engineering, or related field Essential Criteria Strong experience delivering enterprise level AI strategies for complex or multinational organisations Expertise and interest in the UK Infrastructure sector including HMG commitments such as National Infrastructure Strategy and Ten Point Plan for a Green Industrial Revolution Experience in designing operating models and organisational structures for data and AI functions Experience of working with client organisations to write business or investment cases Strong understanding of AI/ML technologies, including generative AI, predictive analytics, NLP, data and Intelligent Automation Knowledge of modern data governance frameworks and architectures, cloud platforms, and AI infrastructure including DAMA Knowledge of AI governance frameworks, model risk management, and regulatory requirements Strategic thinking with demonstrated ability to translate complex technical concepts into business language Soft Skills Team leadership and coaching skills Communication and presentation skills Stakeholder management skills, including facilitation and workshop design capabilities as well as the ability to influence senior stakeholders Demonstrated ability to collaborate in multidisciplinary teams (data scientists, engineers, business strategists) Continuous learning mindset to stay ahead of rapidly evolving AI landscape and strategies for deployment Strategic thinking with demonstrated ability to translate complex technical concepts into business language and explain how they drive business value Preferred Criteria Experience with Big 4 consulting methodologies and framework Preferred Qualification Certifications in relevant areas (e.g., cloud platforms, data governance, AI ethics, automation technologies)