Senior Associate - Data Integration Consultant jobs at Ey in United Kingdom, Manchester

Your Key Responsibilities

In this role, you will design and build analytics solutions that deliver significant business value. You will collaborate with other data and analytics professionals, management, and stakeholders to ensure that business requirements are translated into effective technical solutions.

• Understand and analyze business requirements to translate them into technical requirements.
• Designing, building, and operating scalable data architecture and modeling solutions.
• Staying up to date with the latest trends and emerging technologies to maintain a competitive edge.
• Lead the design and development of conceptual, logical, and physical data models for the Enterprise Data Warehouse (EDW), adhering to Kimball dimensional methodology (dimensional modeling approach, a core skill for this role.
• Design and implement star schemas (Fact and Dimension tables) to support enterprise analytical, Business Intelligence (BI), and reporting requirements with high performance and query efficiency.
• Define and model Slowly Changing Dimensions (SCD) , with an emphasis on SCD Type 2 , to accurately capture and preserve the full historical context of dimension attributes (e.g., customer addresses, product categories) over time.
• Collaboratively determine the appropriate grain (atomic level of detail) for fact tables and identify measurable facts (metrics) and their relationships to the surrounding dimension tables.
• Design highly denormalized dimension structures to reduce joins and simplify querying for end-users and analytical tools.
• Collaborate with stakeholders and cross-functional teams to understand data requirements and design appropriate data models that align with business needs.
• Create and maintain data dictionaries and metadata repositories to ensure consistency and integrity of data models.
• Identify and resolve data model performance issues to optimize database performance and enhance overall system functionality.
• Manage and provide guidance to a small team of 1-3 resources
• Document and communicate data model designs and standards to ensure understanding and compliance across the organization.
• Create detailed source-to-target mapping (STM) documentation and data transformation specifications for ETL/ELT developers, including all SCD Type 2 logic and surrogate key generation rules.
• Stay current with industry best practices and trends in data modelling and incorporate new techniques and methodologies into our data modelling processes.
• Guide team on implementing data modelling techniques such as Kimball’s dimensional modeling
• Developing conceptual, logical, and physical data models to support data analysis and business intelligence.
• Utilize industry-standard data modeling tools (e.g., Erwin, PowerDesigner, ER/Studio) to create and maintain conceptual, logical, and physical models, and to manage version control.
• Having cloud knowledge and certification will be an advantage. Preferably Azure DP-203 certification.

To qualify for the role, you must have

• A Bachelor's degree in STEM
• 10+ Years of hands-on Experience in data modelling
• Strong understanding of SQL and data modelling concepts such as Kimball dimensional modeling
• Experience working with major enterprise relational database platforms or cloud data warehouses (e.g., Oracle, SQL Server).
• Strong understanding of data warehousing principles, ETL/ELT architecture, data quality management, and metadata management.
• Mastery of SCD Type 2 (SCD2) implementation for preserving historical data (e.g., using surrogate keys , start/end dates, and current/active flags). Familiarity with other SCD types (Type 1, 3, 4, 6) is also expected
• The ability to analyze complex business processes and translate abstract business requirements into precise, efficient technical data models.
• Proficiency in data modelling tools such as Erwin / Visio or Power Designer
• Experience in designing and implementing database structures
• Ability to create and maintain conceptual, logical, and physical data models
• Knowledge of industry best practices for data modelling and database design
• Ability to collaborate with cross-functional teams to gather and analyze data requirements
• Experience in performance tuning and optimization of database queries
• Having cloud certification is an added advantage
• Strong analytical and problem-solving skills
• Excellent communication and documentation skills.
• Knowledge in Hospitality Domain is mandatory.

Ideally, you’ll also have

• Strong business acumen with the ability to manage complex client relationships
• Proven experience in managing and leading teams within a dynamic environment
• Excellent communication and interpersonal skills

• Cloud knowledge and certification will be an advantage. Preferably Azure DP-203 certification.

• Experience in leading and influencing teams, with a focus on mentorship and professional development.
• A passion for innovation and the strategic application of emerging technologies to solve real-world challenges.
• The ability to foster an inclusive environment that values diverse perspectives and empowers team members.

• Spanish speaking
• Italian speaking

Your impact

• Lead a team of AI consultants and architects to define comprehensive AI and data strategies tailored to client organizations across consumer products, retail, health, energy, and life sciences sectors

• Lead the 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 organizational AI maturity and create tailored roadmaps for transformation including operating models, organisational structure and capabilities required to deliver the strategy

• Direct the definition of high-level business and technology architectures that enable scalable AI deployment

• 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 board-level audiences

• Prioritize AI initiatives based on strategic value, feasibility, and organizational readiness

• Lead solution development of high impact bid responses and proposal for AI led transformation

• Build and coach a team of AI strategy consultants and develop reusable assets

Experience

• In AI/ML strategy, data strategy, or digital transformation consulting

• Proven track record of delivering enterprise-level AI strategies for Fortune 500 or equivalent organizations

• Strong team leadership and coaching skills

• Deep expertise in at least two of the following industries: consumer products, retail, healthcare, energy, or life sciences

• Experience in designing operating models and organizational structures for data and AI functions

• Strong understanding of AI/ML technologies, including generative AI, predictive analytics, computer vision, and NLP

• Knowledge of modern data architectures, cloud platforms, and AI infrastructure

• Familiarity with AI governance frameworks, model risk management, and regulatory requirements

• Strategic thinking with demonstrated ability to translate complex technical concepts into business language

• Proven communication and presentation skills.

• Proven stakeholder management skills with excellent facilitation and workshop design capabilities

Preferred Qualifications

• MBA or advanced degree in Computer Science, Data Science, Engineering, or related field

• Certification in relevant areas (e.g., cloud platforms, data governance, AI ethics)

• Experience with Big 4 consulting methodologies and framework

• Continuous learning mindset to stay ahead of rapidly evolving AI landscape

Impact you deliver for our clients

• Define comprehensive AI, data and automation strategies tailored to client organisations across consumer products, retail, health, energy, and life sciences sectors
• Conduct in-depth analysis of industry-specific value chain and identify a portfolio of high impact AI, data and automation use cases, to drive revenue growth, operational efficiency, and competitive differentiation
• Assess organisational AI and data landscape maturity and create tailored roadmaps for transformation including operating models, organisational structure and capabilities required to deliver the strategy

• Contribute to the development 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 stakeholders to align diverse stakeholder groups around a unified AI vision
• Present complex AI/agentic concepts and recommendations to senior leadership audiences

• Prioritise AI initiatives based on strategic value, feasibility, and organisational readiness
• Drive 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.

Essential Criteria

• Proven track record of delivering enterprise-level AI strategies for complex or multinational organisations
• 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
• Familiarity with AI governance frameworks, model risk management, and regulatory requirements

Soft Skills

• Proven communication, storytelling and presentation skills

• Proven stakeholder management skills with excellent facilitation and workshop design capabilities including ability to influence senior stakeholders
• Proven ability to collaborate in multi-disciplinary teams (data scientists, engineers, business strategists)
• Continuous learning mindset to stay ahead of rapidly evolving AI landscape
• Strategic thinking with demonstrated ability to translate complex technical concepts into business language and explain how they drive business value

Desirable criteria

• Deep sector or domain expertise in at least one of the following areas
• Sector: consumer products, retail, healthcare, energy, or life sciences
• Domain: Finance, Supply Chain, Commercial
• Experience in designing operating models and organisational structures for data and AI, data and automation functions

Desirable Qualifications

• STEM degree or an equivalent certification in Computer Science, Data Science, Engineering, or related field
• Certifications in relevant areas (e.g., cloud platforms, data governance, AI ethics, automation technologies)

About the Role

We are seeking an experiencedto join our AI and Data consulting practice and lead the design and implementation of cutting-edge data and AI solutions for our enterprise clients. This role requires a strategic thinker who can bridge business requirements with technical execution, delivering scalable, cloud-native architectures that drive measurable business value.

Impact you deliver for our clients

• Design and architect end-to-end AI and data solutions on Azure, AWS or Google GCS leveraging modern data and AI platforms such as Snowflake and Databricks

• Develop comprehensive architecture blueprints including data pipeline, analytics, and AI/ML capabilities

• Define data and AI governance frameworks, security protocols, and compliance standards aligned with industry regulations

• Lead technical discovery sessions with clients to understand business challenges and translate them into architectural requirements

• Serve as the trusted technical advisor to senior IT and/or business stakeholders across consumer products, retail, health, life sciences or energy industries

• Present complex technical concepts and solution roadmaps to both technical and non-technical audiences

• Lead architecture review boards and provide technical governance throughout project lifecycles

• Oversee the implementation of data lakes, data warehouses, and lakehouse architectures

• Ensure solutions are optimized for performance, cost-efficiency, and scalability

• Define integration patterns between cloud platforms, third-party applications, and legacy systems

• Actively contribute to practice development as a technical thought leader in AI and Data topics

• Understanding of building and integrating Agentic AI solutions into existing cloud platforms

• Mentor junior architects and technical teams on best practices and emerging technologies

Essential Criteria

• One or more Advanced level AI and Data architecture certifications in Snowflake, Microsoft Azure, AWS or Databricks.

• Proven track record of architecting enterprise-scale data and ML solutions for organizations in at least one of the following sectors: consumer products, retail, health, energy or life sciences

• Deep expertise in at least one of the following data and AI services: Microsoft Azure, AWS , Google GCP

• Hands on experience with Microsoft Azure, Snowflake and/or Databricks

Soft Skills

• Continuous learning mindset to stay current with emerging trends in AI, machine learning, data engineering, and cloud technologies

• Exceptional communication and presentation skills with ability to influence senior stakeholders

• Strong analytical and problem-solving capabilities

• Ability to manage multiple client engagements simultaneously

• Collaborative mindset with experience working in cross-functional teams

• Coaching mindset to support the development of junior team members

Desired criteria

• Understanding of AI Architecture front end, UI/UX, and how AI is consumed

• Experience preparing technical solutions and architectures as part of bid responses and proposals

• Experience with identifying efficiency opportunities such as solution accelerators, reusable frameworks, and IP development, Agentic automation

• Deep understanding of industry-specific data challenges in Lifesciences, Health, Consumer Products, Retail or Energy industry
• Experience with domain-specific use cases such as commercial

Impact you deliver for our clients

• Define comprehensive AI, data and automation strategies tailored to client organisations across consumer products, retail, health, energy, and life sciences sectors

• Conduct in-depth analysis of industry-specific value chain and identify a portfolio of high impact AI, data and automation use cases, to drive revenue growth, operational efficiency, and competitive differentiation

• Assess organisational AI and data landscape maturity and create tailored roadmaps for transformation including operating models, organisational structure and capabilities required to deliver the strategy

• Contribute to the development 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 stakeholders to align diverse stakeholder groups around a unified AI vision

• Present complex AI/agentic concepts and recommendations to senior leadership audiences

• Prioritise AI initiatives based on strategic value, feasibility, and organisational readiness

• Drive 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.

Essential Criteria

• Proven track record of delivering enterprise-level AI strategies for complex or multinational organisations
• Strong understanding of AI/ML technologies, including generative AI, predictive analytics, NLP, data and Intelligent Automation

Soft Skills

• Proven communication, storytelling and presentation skills

• Continuous learning mindset to stay ahead of rapidly evolving AI landscape

Your key responsibilities
• Grow and maintain relationships with clients, both existing and new clients
• High level management of the successful delivery of technically complex advisory, compliance and reporting engagements
• Providing exceptional client service with responsibility for quality provided
• Working collaboratively with other tax specialist teams
• Grow networks and relationships internally and externally
• Help people to develop through effectively supervising, coaching and mentoring staff
• Lead team initiatives, covering all aspects of leading a successful teamSkills and attributes for success
• Significant experience in Corporate Tax from practice or from an in-house tax background
• Strong client relationship management skills
• Negotiation skills, able to sustain opinion and exhibit strong stakeholder management
• Business development skills, able to identify and convert opportunities to sell work
• Effective time management, ability to remain calm when under pressure to meet deadlines
• Excellent communicator in a range of situations both written and oral
• Enthusiastic team player with ability to create and sustain effective teams
• Experience of coaching and developing more junior staff
• Ensure delivery of quality workTo qualify for the role you must have
• ACA/CA/ACCA/CTA; or Tax Inspectors with full Technical Training Course; or Law qualification
• Degree qualified
• Experienced corporate tax practitioner
• Experience in tax accounting/tax audit
• Proven ability to read and interpret existing and new tax statuteIdeally, you’ll also have
• Project management skills, plan and prioritize work, meet deadlines, monitor own budgetWhat we look for
• Team player; ability to integrate with new teams quickly
• Outgoing with good relationship skills and the ability to deliver quality output
• Excellent communicator in range of situations both written and oral
• Change orientated with flexible approach
We offer a competitive remuneration package where you’ll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions. Plus,
we offer:
• Support, coaching and feedback from some of the most engaging colleagues around
• Opportunities to develop new skills and progress your career
• The freedom and flexibility to handle your role in a way that’s right for you
If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.Apply now.

About the Role

We are seeking an experiencedto join our AI and Data consulting practice and lead the design and implementation of cutting-edge data and AI solutions for our enterprise clients. This role requires a strategic thinker who can bridge business requirements with technical execution, delivering scalable, cloud-native architectures that drive measurable business value.

Impact you deliver for our clients

• Design and architect end-to-end AI and data solutions on Azure, AWS or Google GCS leveraging modern data and AI platforms such as Snowflake and Databricks

• Develop comprehensive architecture blueprints including data pipeline, analytics, and AI/ML capabilities

• Define data and AI governance frameworks, security protocols, and compliance standards aligned with industry regulations

• Lead technical discovery sessions with clients to understand business challenges and translate them into architectural requirements

• Serve as the trusted technical advisor to senior IT and/or business stakeholders across consumer products, retail, health, life sciences or energy industries

• Present complex technical concepts and solution roadmaps to both technical and non-technical audiences

• Lead architecture review boards and provide technical governance throughout project lifecycles

• Oversee the implementation of data lakes, data warehouses, and lakehouse architectures

• Ensure solutions are optimized for performance, cost-efficiency, and scalability

• Define integration patterns between cloud platforms, third-party applications, and legacy systems

• Actively contribute to practice development as a technical thought leader in AI and Data topics

• Understanding of building and integrating Agentic AI solutions into existing cloud platforms

• Mentor junior architects and technical teams on best practices and emerging technologies

Essential Criteria

• One or more Advanced level AI and Data architecture certifications in Snowflake, Microsoft Azure, AWS or Databricks.

• Proven track record of architecting enterprise-scale data and ML solutions for organizations in at least one of the following sectors: consumer products, retail, health, energy or life sciences

• Deep expertise in at least one of the following data and AI services: Microsoft Azure, AWS , Google GCP

• Hands on experience with Microsoft Azure, Snowflake and/or Databricks

Soft Skills

• Continuous learning mindset to stay current with emerging trends in AI, machine learning, data engineering, and cloud technologies

• Exceptional communication and presentation skills with ability to influence senior stakeholders

• Strong analytical and problem-solving capabilities

• Ability to manage multiple client engagements simultaneously

• Collaborative mindset with experience working in cross-functional teams

• Coaching mindset to support the development of junior team members

Desired criteria

• Understanding of AI Architecture front end, UI/UX, and how AI is consumed

• Experience preparing technical solutions and architectures as part of bid responses and proposals

• Experience with identifying efficiency opportunities such as solution accelerators, reusable frameworks, and IP development, Agentic automation

• Deep understanding of industry-specific data challenges in Lifesciences, Health, Consumer Products, Retail or Energy industry

• Experience with domain-specific use cases such as commercial, supply chain, finance or operations