D&A Hub Lead Finance

Volvo Cars is a company on a mission; to bring traditional car manufacturing into a connected, sustainable and smart future. Since 1927, we have been a brand known for our commitment to safety, creating innovative cars that make life less complicated for our consumers.

Enabling our transformation by unlocking the value of data 
At Volvo Cars, our strategic direction is clear, shaping the future of mobility with human-centric technologies delivering the freedom to move in a personal, sustainable, and safe way. We are in the middle of a transformation to become a direct-to-consumer fully electric mobility company by 2030. 
What's in it for you?
This is an unparalleled opportunity to build a new team, and new solutions in an exciting and transforming industry where we aim to take the lead with new business models, direct consumer relations and a shift to sustainable and fully electric vehicles.  It is also a high priority, high visibility endeavor with significant attention and hands on involvement and direct exposure versus Executive Group management across Finance, Digital and our Commercial system. We expect your help to build industry leading capabilities and help define our ways of working to become successful in our transformation.
What you’ll do
You will be responsible for building the finance data and analytics model aligned to the Volvo Cars data strategy, driving the desired data transformation within finance, including facilitating the training and upskilling of colleagues. You will be responsible for defining, building and managing all Finance Data Products (i.e. structured, quality assured, one-source of truth data, safely exposed and ready to be consumed for relevant use cases and processes) and their roadmaps, including the appropriate staffing of relevant technical resources. In summary responsible for all that is necessary to build and manage the data products supporting Finance and Volvo Cars requirements. You will also have the responsibility for the implementation of the Volvo Cars Data Governance framework within Finance, including data risk management, data quality, and data cataloguing. You will lead the delivery of value from data for the Finance function, including the data strategy and roadmap, data products, data governance, and data and analytics training needs. 
Practically you will
Manage the Finance Data and Analytics hub incl. data engineers and data product owners. Logically structuring data and ETL to enable business needs and drive the Finance Data & Analytics transformation. This is a hands-on role starting with a smaller team. Practical experience from software development and leading developers is critical. 

What you’ll bring
You should bring significant experience leading data and analytics functions, bringing experience also from the finance area (FP&A, Accounting or Financial Services) to be able to lead and inspire confidence both within the team and across the wider Finance function. You are a senior data and analytics leader with experience managing multiple managers/teams. You have experience with the data and analytics needs of finance teams, either through building data and analytics products for finance teams and/or working in a finance function.You have a deep understanding of how to build and run data and analytics products, with a proven track record of success.  You can grow, inspire, and encourage a team of data and analytics professionals, encouraging talent and creativity whilst remaining focused on delivering business value. As a person you are motivated by a burning desire for excellence but take a pragmatic approach to achieving your goals. You have a strong drive to proactively chart a path and lead the way for the broader Finance organization within Data and Analytics.
Required Skills
•    Good communication skills to both technical and non-technical audiences 
•    Ability to combine independency and integrity with great team- and collaboration skills
•    A validated ability to influence decision-making at all levels within an organization, and in a variety of contexts
•    Broad technical breadth including familiarity with data platform services 
•    A way with numbers, as well as a strong business sense, and ability to form strategic business decisions
•    Degree qualified in a relevant subject (or suitable equivalent industry experience)
•    Previous hands-on experience as a programmer and/or data scientist (to be able to hands on contribute and lead others efficiently)
•    Experience in logically structuring and setting up databases 
Preferable Skills
•    Knowledge of / experience with data mesh concepts
•    Previous management experience
•    Prior experience within an automotive environment and/or working with data in companies with complex product structures (e.g., a car can have millions of variants)
•    Previous experience in working with Snowflake
•    Well established relevant network from which you can draw advice, guidance, best practice and industry developments