Data Steward - Stockholm

Veritaz is a fast-growing IT-consultant firm. Our company is made up of insanely bright people from over 4 countries, and we are located in Sweden, UK, US and Pakistan. The voyage has been incredible this far, but it is only the beginning.
Assignment Description:
We are looking for a Data Steward who is experienced in automotive industry regarding data management and vehicle data creation, and experience from agile methodologies such as SAFe, Scum or Kanban.
Do you value openness, transparency, and empowerment? Our squad is high performing cross-functional team who are set with a mission to provide win-win exchanges for our customers.
What you'll do:
● Establish fit for purpose principles, guidelines and standards around data quality and stewardship for R&D.
● Design, train and educate stakeholders and solution level Data Stewards in how to effectively manage data for trust in an agile way.
● Drive adoption of our technology roadmap including data quality tools and frameworks, data catalogue and automated stewardship solutions.
● Facilitate and lead the Data Steward network consisting of solution level Data Stewards, driving, and developing the Data Steward function in R&D.
● Actively be involved in the transformation of solutions areas in R&D regarding data awareness, data product and quality.
● Actively attend and be the R&D spokesperson in community of practices (CoP) and governance forums.
● Act as the liaison between R&D and other business areas, capturing and channelling new demands and requirements.
Who you are:
● Have a relevant MSc degree, as well as several years of experience working with data and in leading roles focusing on process development and data management.
● Have experience from cross functional leadership and a successful record of achieving sustainable change in large organizations.
● Good knowledge within areas such as data quality management, master data governance, information architecture, meta-data management, master data management and BI & analytics.
● Good understanding of business processes and challenges related to data in complex product development.
● Great workshop facilitation and presentation skills, good understanding of data privacy regulations and data management risks related to cyber security.
● Experience from automotive industry regarding data management and vehicle data creation, and experience from agile methodologies such as SAFe, Scum or Kanban.