דרושים Sap Lead Data Architect ב-Ey ב-United Kingdom, London

Your key responsibilities

• Work as part of a delivery team on complex Data Transformation programs, primarily leading on data architecture and data modelling, with additional roles likely to include leading on business analysis, data strategy and solution design

• Lead Data Modelling Activities: Develop conceptual, logical, and physical data models for core insurance domains (e.g., Policy, Premiums, Claims, Risk, Bordereaux) aligned to Lloyd’s CDR and Accord data standards.
• Blueprint Two Alignment: Interpret Lloyd’s CDR specifications to design data structures that support consistent capture, storage, and exchange of data across the insurance value chain.
• Foundation for Transformation: Establish data modelling standards and principles, naming conventions, and metadata standards, design patterns as the basis for the upcoming data transformation programme.
• Business Engagement: Collaborate with business SMEs from underwriting, claims teams, operations, and finance to capture requirements, resolve data definitions, and validate models.
• Data Quality & Governance: Define master data and reference data structures to ensure completeness, accuracy, and regulatory compliance.
• Tooling & Standards: Leverage data modelling tools (e.g., ERwin, PowerDesigner, SQL Data Modeler, etc.) and maintain modelling repositories.
• Collaborate with enterprise architects, solution designers, and data platform teams to embed data models into the technology landscape.

• Contribute to client proposals, RFP responses, and thought leadership related to data strategy, data architecture and data transformation initiatives

To qualify for the role you must have some or all of the following:

• Proven experience in data modelling within London Market Commercial and Specialty Insurance markets. Strong understanding of Lloyd’s market operations, London Market processes, Core Data Record specifications.
• Expertise in building conceptual, logical, and physical data models for core insurance entities and processes.
• Understanding of different Data Modelling approaches – i.e. relational data model, 3rd normal form, Dimensional data model, Star /Snowflake Schema, Data Vault etc.
• Good understanding of Data Warehousing design concepts (e.g. Inmon & Kimbal style of data architectures.
• Experience translating regulatory and market standards into practical, implementable data structures.
• Knowledge of insurance reference data (e.g., class of business codes, market participant codes, currency codes).
• Familiarity with relational database design and dimensional modelling principles for reporting/analytics.
• Proficiency with one or more data modelling tools (e.g., ERwin, PowerDesigner, SQL Developer Data Modeler).
• Excellent stakeholder engagement and facilitation skills.

What we look for

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:

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

responsible for collaborating and developing a cross-function strategy within the network organization, Information Security (Infosec), Supply Chain Services, Legal, and approved vendors to deliver Wi-Fi technology solutions aligned to technical standards that ensures all EY end-users receive services that meet and exceed the business requirements. Solutions will be supported by various organizations including and are not limited to: WAN, Telephony, LAN, WLAN, Data Centers (DC) and Office Solutions. In addition, the AD will provide consulting services to other teams, and act as an escalation point for operational issues.

Functional Responsibilities:

• Technical Lead for all global Wi-Fi designs
• Strategic thinker with understanding of EY end-user business requirements
• Delivery Expertise ensuring all solutions are fully tested, document and represent the industry leading solutions.
• Forward Thinking – understands current and NeXT Generation technologies
• Experience in managing global teams and suppliers
• Risk Management recognizing and developing mitigation strategies, delivering continuous improvement for the firm
• Leadership in advanced network monitoring tools and AI
• Experienced in Program Management, Product Development, Piloting, Testing, Global Deployment and Post Implementation validations.

Management Responsibilities:

• Lead Global Engineering and Deployment team
• Develop relationship with approved suppliers/equipment manufacturers
• Collaborate with business leaders, Member Firms/Partners on innovative solutions aligned to business requirements
• Present industry-leading technological advancements that drive quality of services and deliver secure services aligned with continuous improvements strategy for end-user performance. (SLAs, KPI, AI and Advanced Monitoring)

Knowledge required for disciplines:

• 15+ years of experience leading Network Design and Architecture teams, with a high focus on customer experience.
• Bachelor’s degree in computer science/engineering or related discipline, plus industry accreditation or equivalent work experience. Master’s degree preferred (MS/MBA)
• Advanced skills in planning, designing and troubleshooting complex network environments.
• Track record of customer focus, based on openness, trust, and delivering on promises.
• Time management skills to manage multiple large, complex projects simultaneously.
• Strong interpersonal and team working skills across matrixed client, supplier, and geographically dispersed virtual teams
• Data-guided, analytical approach with the ability to formulate and translate insights into action with measurable results.
• Excellent understanding of Office Connect product portfolio and ability to bring knowledge of this to help facilitate the growth and adoption across the regions.
• Demonstrated ability to communicate complex technical information to a diverse business audience.
• Experience developing, managing, and presenting business cases and strategic plans.

Knowledge required beyond the job:

• Industry accreditation like CCNA R&S, CCNP R&S, CCNA Wireless, CCNP, Meraki Wireless certifications or equivalent knowledge.
• Flexibility adjusting to multiple demands, shifting priorities and rapid change
• Ability to work and team with a multitude of different people within and outside of IT to balance business demands
• Ability to deal efficiently with escalations and difficult situations/people under pressure
• Ability to understand and integrate cultural as well as individual differences and motives and to work in virtual cross-cultural, cross-border global teams
• English language skills - excellent written and verbal communication

Problem Solving:

• Leverage Deep Technical knowledge, driving innovation and problem resolution to ensure the diagnose,troubleshooting and problem resolve minimizing outages.
• Experienced in managing complex global Wi-Fi engineering, delivery and outside influences (RF) that can impact
  the quality of services.
• Act as final escalation point for network-related problems.
  
  • Validate Office Connect solutions on industry’s best practices, sound solid engineering principles while
    incorporating both local and global requirements
  • Collaborate, develop and validate solutions design documentation to be used by the Regional Data
    

Relationships:

• Office Connect lead and trusted advisor for I&O organization. BRM/Member Firm stakeholders (globally) hardware supplies, professional service vendors, WAN, Infosec, EY Supply Chain Services (contract management)

Team Management:

• (3) EY teams consisting of engineering and reporting plus management of Kyndryl resources

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

Skills and attributes for success

Client Management and Business Development:

• Develop/maintain productive relationships with client management including C Suite executives.
• Develop new business development initiatives, go to market campaigns, sales sprints, leading end-to-end bid processes, engagement delivery and knowledge management with a proven experience of achieving sales targets greater than £1m per year.
• Stay informed of the client's industry, and recognise key performance drivers, business trends, and emerging technical/industry developments.
• Strong problem solving skills to support clients on a comprehensive range of issues in relation to financial crime, fraud, regulatory and compliance, litigation and other adverse events in the Financial Services industry across Banking and Capital Markets, Insurance and Wealth and Asset Management sectors.

Engagement Delivery and People Management:

• Lead complex Data and AI-led assignments, review the work prepared by the engagement teams to ensure that it meets EY’s quality standards and the client’s expectations.
• Monitor engagement progress to manage and mitigate risks and resolving any issues that may arise during the project. Ensure successful completion of project objectives within timescales and budget.
• Direct management of senior client stakeholders, investigators, internal and external auditors, lawyers and regulatory authorities during sensitive and sometimes adversarial situations.
• Lead the development of training, recruiting, resourcing projects, and/or other practice-wide needs to create a positive work and learning culture.
• Define best practices, processes, and standards to ensure realisation of measurable improvement in value, effectiveness, efficiency and quality of services delivered to clients.

To qualify for the role you must have

Extensive deep expertise in:

• Financial Services industry, focused on financial crime, forensics, fraud, legal and regulatory compliance
• End to end data engineering and data science life cycle including data discovery, ETL, data analysis/machine learning, data visualisation/reporting and latest Gen AI and Agentic AI technologies
• Leading large and complex data and AI-driven programmes and innovating reusable tech solutions through problem solving
• Developing and mentoring data engineering and data science teams

Ideally, you’ll also have

• Previous Big 4 and large consulting firms experience is an advantage.

What we look for

We’re not just looking for strong technical skills – we’re interested in people that can nurture relationships, both internal and external, and are committed to intimately understanding our clients’ needs. If you’re looking to become part of elite group of data engineers and data scientists where you’ll make a measurable difference across some of the most prestigious businesses around, this role is for you.

What we offer

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

Please note;

Prior to finalizing your application, you will be asked to provide personal information across several dimensions of diversity and inclusiveness. The information you provide is kept entirely confidential and will not be used to evaluate your candidacy. We collect this data to help us analyse our recruitment process holistically and implement actions that promote diversity and inclusiveness. While optional, we encourage you to provide this information to hold us accountable towards our goal of building a better working world. Read more about our commitment to diversity& inclusiveness

Your client impact

• Design, develop, and deploy end-to-end machine learning models for complex business problems across forecasting, optimization, and prediction domains
• Build and fine-tune large language models (LLMs) for enterprise applications including document intelligence, conversational AI, and decision support systems
• Deep understanding of solving data science and AI enabled problems in supply chain, finance, commercial or operations domain or AI agents with reasoning capabilities using LLMs
• Translate business requirements into technical AI/ML features, model selection, architecture decisions
• Conduct exploratory data analysis and communicate insights to stakeholders
• Collaborate with data engineers, architects, and business analysts on integrated solutions
• Build feature engineering pipelines and automated data preparation workflows
• Design AI solutions for commercial transformation including pricing optimization, customer segmentation, and revenue management

• Develop scalable AI/ML pipelines on Databricks, Azure Machine Learning, and/or Snowflake platforms

• Contribute to proposals and technical assessments for new opportunities

Required Qualifications

• Essential: Strong level of hands-on experience developing and deploying machine learning models in production environments
• Essential: Proven experience building and implementing LLM-based solutions (GPT, Claude, Llama, Mistral, or similar)
• Deep understanding of machine learning algorithms including supervised, unsupervised, and reinforcement learning approaches
• Strong proficiency in statistical modeling, time-series forecasting, and predictive analytics
• Experience with deep learning frameworks (TensorFlow, PyTorch, Keras)
• Knowledge of prompt engineering, RAG (Retrieval Augmented Generation), and LLM fine-tuning techniques
• Understanding of natural language processing, computer vision, and recommender systems

• Essential: Hands-on experience with at least one of: Databricks (MLflow, AutoML), Azure Machine Learning, or Snowflake (Snowpark ML, Cortex)
• Strong programming skills in Python and proficiency with ML libraries (scikit-learn, pandas, NumPy, XGBoost, LightGBM)
• Familiarity with distributed computing frameworks (Spark, Dask, Ray)
• Strong analytical and problem-solving mindset with attention to detail
• Ability to work independently and drive projects from ambiguous requirements
• Story telling with data and insights from the outputs

Preferred Experience

• Finance Forecasting: Revenue prediction, cashflow modeling, financial planning, risk modeling
• Energy Optimization: Load forecasting, grid optimization, demand response, renewable energy prediction
• Predictive Maintenance: Equipment failure prediction, anomaly detection, remaining useful life estimation
• Supply Chain Planning: Demand forecasting, inventory optimization, logistics planning, procurement analytics
• Commercial Transformation: Price optimization, customer lifetime value, churn prediction, marketing mix modeling

Preferred Qualifications

• Advanced degree (Master's or PhD) in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related quantitative field
• Big 4 or tier-1 consulting firm experience
• Certifications such as:
• Databricks Certified Machine Learning Professional
• Azure AI Engineer Associate or Data Scientist Associate
• SnowPro Advanced: Data Scientist
• AWS Certified Machine Learning - Specialty
• Experience with generative AI platforms (Azure OpenAI, AWS Bedrock, Vertex AI)
• Knowledge of graph neural networks, reinforcement learning, or causal inference
• Experience with AI governance, model risk management, and regulatory compliance

General Information

Contract Type: Permanent, Full-Time

Recruiter: Matthew Creane

If you are currently working in practice or industry accounting and would like to know more about what a career in EY could look like for you, please get in touch.

To qualify for these role you must have

• Qualified Accountant - e.g., ACA, ACCA, CPA, CA(SA) qualified OR equivalent
• Minimum 3.5 years assurance experience
• Minimum 2 years as an audit senior manager
• Experience with International Financial Reporting Standards (IFRS) & US GAAP
• Minimum of 18 months' left on your valid Passport to facilitate Work Permit & Visa applications (where applicable)

Ideally, you'll also have

• High Technical Knowledge
• Clearly demonstrate an on-going commitment to personal and professional development through continuing education and development.
• Experience with International Financial Reporting Standards (IFRS) with US GAAP experience preferable

What we look for

• Proven track record of outstanding performance.
• Worked on Large PLC/ Multinational clients within the Industrial, Commercial & Technology sector.
• Ability and willingness to work primarily on challenging and complex projects

We offer a competitive remuneration package. Our comprehensive benefits 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 and coaching 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.

All our employees are given a benefits package which they can tailor to suit their individual preferences. Our range of benefits include:

• Hybrid Working
• Pension/Discounted Health Insurance
• Web Doctor
• Purchase of Additional Annual Leave
• Free Gym Membership
• Travel Pass
• Maternity & Paternity Leave
• Bike to Work Scheme
• Referral Bonuses & Recognition Awards
• Tech MBA paid by EY

Career Progression

• When you join EY, you will be supported to ensure that you are enhancing your skills from day one.
• Continuous learning, where you can develop the mindset and skills to navigate whatever comes next.
• As you grow and develop here, you’ll discover opportunities to help customise your career journey, so that it’s as unique as you are - success is defined by you, we will provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership, we will give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture, you will be embraced for who you are and empowered to use your voice to help others find theirs.
• We have embraced Hybrid working at EY adding greater flexibility and autonomy to the roles of our employees.

London/ Edinburgh

The AI & Data practice works collaboratively with our clients to enhance their ability to solve complex business problems by exploiting data and analytics strategies and solutions. We provide expertise and delivery in three core areas which all work closely together:

• Data Architecture & Engineering – Focusing on next generation data solution architecture design and implementation
• Data Management & Strategy – Supporting our clients with Data Strategy, Data Governance Data and Analytics Target Operating Model Design and wider Data Office and CDO support functions
• Data Science and Information Analysis - Working with our clients to design build and integrate Machine Learning and AI solutions into their core business platforms and processes to drive greater insight and increased process efficiency and automation. We also help them design and implement modern data visualisation and reporting solutions

Your key responsibilities

• Lead the design and implementation of scalable data architecture solutions using Databricks on Azure .
• Architect and optimize data pipelines for structured and unstructured financial data, ensuring performance, reliability, and compliance.
• Demonstrate prior experience in standing up and operationalizing Databricks platforms , including workspace setup, cluster configuration, and CI/CD integration.
• Lead and execute large-scale lift-and-shift data migrations from legacy platforms to Databricks, ensuring minimal disruption and high data fidelity.
• Collaborate with cross-functional teams to align data architecture with financial regulations (e.g., GDPR, Basel III, MiFID II).
• Drive adoption of Delta Lake , Apache Spark , and MLflow for advanced analytics and machine learning use cases.
• Provide technical leadership and mentoring to data engineers and analysts across financial domains such as risk, trading, and compliance.
• Establish best practices for data governance , lineage, and metadata management within the Databricks environment.
• Translate business needs into robust data products that support real-time decision-making and predictive modeling.
• Lead performance tuning, cost optimization, and security hardening of Databricks on Azure.

To qualify for the role, you must have

• A track record of delivering large Databricks data transformations & appropriate Databricks industry certifications
• A deep understanding of Financial Services to develop the right AI, Data and Analytics solutions to meet their needs
• Experience of building high performing teams and exceptional leadership and interpersonal skills
• Deep understanding of the emerging technology trends including adoption of cloud-based technologies and advance data technologies with a clear perspective on where the market is going.
• Ability to successfully deliver across multiple engagements, exceed client expectations, manage commercial aspects and manage quality and risk
• Ability to engage with senior stakeholders and manage large cross functional projects
• Intellectual strength / flexibility to rapidly understand complex problems and rationalise these into workable solutions which can then be delivered
• Exceptional storytelling, communication, presentation, business writing and professional skills, including being able to liaise with both technical and business contacts at our clients.
• Previous consulting experience will be greatly valued
• A university degree, 2:1 (or equivalent) or above is usually preferred, however we would be open to outstanding candidates who may have followed an alternative academic path.

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.
Prior to finalizing your application, you will be asked to provide personal information across several dimensions of diversity and inclusiveness. The information you provide is kept entirely confidential and will not be used to evaluate your candidacy. We collect this data to help us analyse our recruitment process holistically and implement actions that promote diversity and inclusiveness. While optional, we encourage you to provide this information to hold us accountable towards our goal of building a better working world. We ask because it matters!

Your impact

• Define comprehensive AI and data strategies tailored to client organizations 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 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

• Define 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

Experience

• Stong 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
• 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