Manager, AI & Data, Financial Services Data Platforms

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The EY Financial Services AI & Data Consulting team in Scotland is continuing to grow and develop unique advisory propositions in response to market needs and demand. We fully support the Scottish Financial Enterprise (SFE) vision for an ecosystem with Data AI and emerging technology at the core and are now recruiting for new colleagues as part of our strategic investment to help deliver this vision.

We offer the opportunity to join a local team driving continued growth and success on a global scale delivering exceptional career experiences and advancing Scotlands position as a world leader in Financial Services.

Our mission is to deliver AI-ready Data enabling our Financial Services clients to deliver superior market products and experiences. We are currently looking for exceptional Managers with strong experience in Financial Services and Data Platform solutions to join our team and actively contribute to this mission locally and globally. Joining the Edinburgh EY AI & Data team in this exciting period of growth will offer a huge variety of opportunity to make a tangible impact to our clients businesses and to your career.

The opportunity

In this AI & Data consulting role you will work collaboratively with our clients to enhance their ability to solve complex business problems by leading engagements related to the deployment of Data Platforms such as Snowflake and Databricks.

We provide expertise and delivery across two core areas:

• Data Architecture & Engineering Focusing on next generation data platforms architecture and implementation making data available and trusted to deliver on AI priorities
• Data Management & Strategy Supporting our clients manage AI & Data Risk define AI & Data Strategies design Target Operating Models and enable Data Offices that prove transformational to their business

Your key responsibilities

• Manage a delivery team on Financial Services Data Platform transformation programmes. A typical programme can include roles such as target state architecture scoping data analysis solution design and end to end implementation management. As a Manager you can expect significant people leadership responsibilities and will face off to senior members of client teams.
• Business development; including the development of long-term trusted advisor relationships with our clients and Data Platform vendors. You will support RFP responses as well as thought leadership articles that we issue to the market.
• Manage and track engagement financials including time management billing and invoice management.
• Develop our people through coaching talent development recruitment and formal performance management.
• Ensure internal risk and admin processes are adhered to.
• Support the development of new EY data solutions and methods that will improve effectiveness and reduce costs of current practices.
• Participate actively in the local Financial Services ecosystem collaborating with our clients Fin Techs and Universities as we advance Scotlands position as a world leader in Financial Services.

Skills and attributes for success

Were looking for people with a passion for the delivery of data platform solutions that deliver positive outcomes for customers regulators and shareholders. You should have leadership problem solving and teamwork skills and an ability to communicate complex ideas effectively both verbally and in writing.

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

• Demonstratable interest and awareness in data AI & emerging technologies
• Ability to demonstrate strong leadership problem solving teamwork and communication skills and an ability to communicate ideas effectively and clearly both verbally and in writing to a diverse set of business and technical stakeholder groups
• 5 years of FS experience in one of the following sectors:
  Banking Capital Markets or Insurance
• Relevant experience in Data Platform Technologies including
• Understanding of Snowflake/Databricks architecture including basic data warehousing concepts and data sharing capabilities
• The ability to write SQL and/or Python queries for the purposes of transforming joining and aggregating data
• Ability to analyse datasets and generate insights using Snowflake and/or Databricks analytical tools and features
• Practical knowledge of common data engineering and BI/data visualisation integrations such as dbt Azure Data Factory PowerBI and Sigma
• Experience using native functionality to deploy and interact with Large Language Models
• Ability to develop test and deploy machine learning models

• Experience of Agile and traditional SDLC delivery methodologies

• A point of view on how the FS industry will continue to evolve and how the technology innovation and Fin Tech landscape will shape the future

• Experience creating new AI & Data propositions /…