Big Data Product Owner

We are undertaking a Data Transformation at Lebara and as data becomes fundamental to what we are doing, the ability to have the right data in the right place at the right time, that is accurate and consistent is essential. This role will play a really important central role within this evolving landscape, working alongside the Technology Team and the Product Manager to orchestrate and facilitate good delivery of data to the business. You will have to be competent in communicating to the Business as we'll as technical teams to capture requirements for new data and solutions and translate them into the technology team to make sure these requirements are accurately developed into technical solutions that can be developed, tested, integrated and documented. Responsibilities: Contribute to the Data Lake Product s vision and strategy. Collect Customer Feedback and Apply that through Process Improvements. Build and Cultivate Customer Relations. Serve as the liaison between the customer, product and development team . Take lead on the communication to the business, on status of items and blockers. Maintain the Team Backlog. Assist Product Manager and Sprint Manager in grooming, prioritising, and managing the team backlog as user stories. Working with the relevant business Financial Directors and Business Stakeholders to understand the business logic, and translate this into requirements that can be fed into the technical team to build a solution. Work alongside BA s to translate requirements from simple business logic into technical requirements for the Technology teams to deliver. Liaise with Sprint Manager and Delivery Team to ensure delivery is efficient and in line with business expectations. Co-Ordinate with other Release Trains to ensure items with cross-department dependencies are managed. Co-Ordinate UAT and ensure Delivery is as per the requestors expectation. Have an end to end knowledge of the data landscape within Lebara and be able to shape future technological decisions and lead. Skills & Experience: Qualified SAFe Product Owner / Product Manager. Having worked in SAFe teams previously will be an advantage. Strong knowledge of Data Warehousing architecture, desirable to have Azure experience. Experience working in high-priority data projects. Extensive expertise in breaking down problems/issues, documenting clearly in a format for stakeholders to easily understand and prioritise. Stakeholder Management. Experience Managing and Co-ordinating a team. Able to collaborate with a wide range of technical and non-technical colleagues and stakeholders including development teams and BA s. Significant understanding of Lean / Agile methodologies, and to be able to design processes effectively. Experience of transformation management and continuous improvements. Good awareness of Product Team / SAFe responsibilities. Ability to breakdown user stories and create design documents for development. Good to have experience of Business Analysis within a technical environment. Behavioural Fit: Highly technical with a keen eye for detail. Driven, self-motivated and results orientated. An ability to inspire and lead. Confident and an ability to challenge if necessary. Structured and organised. Ability to work in a cross-functional, multi-cultural team and in a collaborative environment with minimal supervision. Ability to multi-task and plan, organize and prioritize multiple projects. Must have a hands-on mentality. Role Key Performance Indicators: Quality and consistency of data across the whole data landscape Time to value of new data and analytics solutions including implementation of Machine Learning Quality of documentation and time to get up to speed of new joiners.