Audi Job - 32206032 | CareerArc
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Company: Audi
Location: Herndon, VA
Career Level: Mid-Senior Level
Industries: Automotive, Motor Vehicle, Dealers


“Vorsprung durch Technik" or, "Progress through Technology" is our company ethos and is the core belief that drives the development of every Audi vehicle. It inspires the innovative solutions, revolutionary engineering and progressive design that have become synonymous with the Audi name. It reminds us to challenge ourselves, rewrite the rules from time to time and always fuel our pioneering spirit; the spirit that sets us apart on the racetrack and the open road. In our relentless pursuit to become the number one premium car brand in America, we need employees who share in this spirit of challenging the status quo in everything we do.


Data is the new oil and according to research companies 60-85% of analytics programs fail – The purpose of the Data & Analytics team at Audi of America is to defeat these odds and nurture the maximum potential of data through the vibrant life veins of our organization. Are you ready to be part of the brand new Data and Analytics team within Audi of America, fundamental to shaping the future of Audi together with the larger digital team?


The vision of the team is to empower customer centricity and sustainable operational excellence through management of data and processes. The objective is to enable the enterprise to harness the value of data through Reporting & Visualization, Advanced Analytics incl. Machine Learning and AI. Data based decision making, operational excellence through automation of reporting and processes and analytics as a self-service are the core pillars of this mission.

  Be part of a core team that thrives at the intersection of business and IT, a team of data experts that works together with peers across the entire Audi enterprise including every line of business in the so called Data Science Community, and acts as the catalyst of progress unleashing the promises and value of data, technology and innovation.  

Role Summary

  • The Product 360 SME is part of the Data & Analytics team at Audi of America. In this role, the Product 360 SME works closely together with the key departments that own and require product data as part of their daily operations and business management including: Sales operations (new & used vehicle sales & ordering, incentives), Product Planning, Marketing & PR, Controlling and Finance, vehicle Logistics, Product Quality & Warranty

  • Be the liaison and central point to unify, standardize and maintain all product related data across AoA by identifying the Product 360 view across all vehicle dimensions including option codes, packages, model lines, segments, pricing, connected vehicle signals and data

  • Act as an enabler and service provider to consuming parties on the receiving business side by creating and maintaining a product data master & roadmap, establish data literacy and rules for use of product data, work with data source providers such as AUDI AG and VW Group systems to obtain vehicle data inputs, manage data on boarding with IT delivery teams, legal and compliance and prepare data for general consumption for internal teams and external partners.

Role Responsibilities

Main responsibility – 60% of time

  • Create, maintain and own product 360 view at Audi of America

  • Gain extensive knowledge about product data including: models, segments, packages, options, vehicle supply chain & ordering, connected vehicle data & signals

  • Establish relations with key product data stakeholders across the organization with focus on following teams: sales operations (new & used, vehicle ordering and distribution), marketing, product quality & warranty, product planning and AUDI AG

  • Respond to daily ad-hoc requests from data science community members and nonmembers seeking information about various aspects of the business concerning AoA products

  • Create inventory of all existing product data across the enterprise across systems, programs and departments

  • Define product master (existing information new discovery)

  • Identify product data related use cases and data needs across the organization (define source and users)

  • Prioritize roadmap incl. collection and onboarding of data into centralized data repository based as strategic enabler for organization by working with central IT delivery team

  • Formalize & ensure availability, quality and usability of product data

  • Support and enable users, departments, and use cases dependent on product data

  • Act as product 360 expert by learning and knowing all aspects of the product master

  • Drive data literacy and understanding of relevance and context of product data across stakeholders and members of the Data Science Community

  • Work with external partners and affiliates to establish standardized agreements and processes for product data exchange

  • Represent interest and value of product data through project and budget approval processes

  • Lead and participate: in product data related workshops and initiatives to provide knowledge and background to support decision making and represent interest of AoA with regards to importance and completion of product 360 view

  • Endorse data strategy with focus on completion and maturing of AoA's Product 360 view

  • Research, collect and inform practices and innovations for product data management

  • Support and accelerate use of product data across enterprise to create value by providing accurate product data at right place (user / application) and time (speed)

  • Support concept of market place for product data for 3rd parties

  • Learn, comprehend, inform guidance and endorse use of connected vehicle data across enterprise

  • Understand potential, risk and guidelines of connected vehicle data

  • Create technical documentation supporting sharing of understanding and flow of product data

  • Use available tools to register data assets, define metadata and additional relevant information about the data

  • Define and communicate terms of use of product data based on context of use (legal, security, compliance, internal guidelines)

  • Work with data quality SME to ensure interpretation and quality of data

  • Train stakeholders and members of the data science community about the proper use and interpretation of product data

  • Work with cross functional teams to ensure protection and governance of product data

  • Perform data analysis, data modelling and statistical analysis using product data.


Additional responsibilities – 40% of time

  • Create and share data visualization regarding product data

  • Support analysis of product data in context of use cases and business operations e.g. product & options profitability analysis, turn rates of models & options

  • Work with enabling IT support teams to define requirements based on use cases for architecture & design of data onboarding and storage of vehicle data (descriptive data & connected data)

  • Support quick ideation, trial & error of product data related use cases and applications

  • Keep organization incl. management informed and aware of value, potential and importance of product data

  • Actively involve and leverage other team members of the Data & Analytics team to assist with deliverables and responsibilities

  • Work with Budget management and planning as part of overall Data & Analytics team responsibilities.




  • 7-9 years of related experience



  • B.S. continued learning via e.g. MOOCs

  • B.S. Communications, Business Analytics, Computer Science, Mechanical / Electrical Engineering or degree in a discipline that fosters structured problem solving and creativity (desired)


General Skills


  • Passion for collaboration, innovation and change

  • Committed to fulfill agreed upon deliverables

  • Ability to manage multiple deadlines and work products at the same time 

  • Continuous learning mindset

  • Curiosity and open mindedness

  • Time management (urgency vs. importance) and ability to prioritize

  • Team player

  • Analytical and conceptual thinking

  • Computer savvy

  • Integration – joining people, processes or systems

  • Keen focus on detail and accuracy

  • Strong analytical and quantitative problem solving skill

  • SCRUM product ownership or Agile methodology

  • Identify and evaluate requirements

  • Define & implement roadmaps

  • Prioritize deliverables within roadmap

  • Understand business programs & initiatives and underlying data processes

  • Self-initiator seek and absorb information

  • Work with cross-functional teams

  • Work with international teams and experts

Specialized Skills

  • Good understanding of databases and querying language

  • Data modelling, data analysis, statistical analysis, data modeling

  • Data standardization, reporting & visualization

  • Strong analytical and problem solving skills and acute attention to detail and accuracy

  • The ability to analyze existing complex systems and understand and document data elements, their attributes, relationships, data flows, dependencies and related interfaces with the goal of developing technical strategies to drive BI processes and reporting

  • Effectively able to manage multiple tasks with the ability to prioritize and meet timelines

  • Ability to present data and solutions to multiple stakeholders

  • People leadership/Project Management

  • Understanding of automotive business

  • Extensive knowledge certification in following technologies: SQL, python, tableau, confluence, Jira, German language skills a plus, automotive experience working with industry terminology (or transferable industry): models, packages, options, parts, logistics (desired).

Work Flexibility

  • Onsite: onsite preferred as standard

  • Home office: home office based on agreed upon schedule possible (e.g. 1 day per week)

  • Travel: 15% domestic travel.

We are proud to be an EEO employer M/F/D/V. We maintain a drug-free workplace and perform pre-employment substance abuse testing.









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