Data Analytics Project Manager
Bruxelles, Belgium
Talan
Nous croyons que seule une pratique humaniste de la technologie fera du nouvel âge numérique une ère de progrès pour tous. Engageons-nous ensembleCompany Description
Passionate about digital, data, IoT or AI and willing to join a dynamic and ambitious team on a human scale?
For more than 15 years, we have been advising companies and administrations and supporting them in the implementation of their transformation projects in Brussels and abroad.
To do so, we rely both on technological leverage and on the strength of our DNA based on collective intelligence, agility and entrepreneurial spirit.
With a presence on five continents and more than 4,000 employees, our goal is to reach more than a €1 billion revenue by 2024. Innovation is at the heart of our development and we are involved in areas linked to the technological changes of major groups, such as Big Data, IoT, Blockchain and Artificial Intelligence.
Our values & playfields
- Intelligence collective
- Agility
- Entrepreneurship /Intrapreneurship
- Promote diversity/mixity (Support to the Fondation femmes@Numerique...)
- Commitment (employees, partners, schools, associations...)
- Respect for human beings and quality of life at work
- Open-mindedness and inclusiveness
Together, let’s build Talan’s future.
Job Description
We are looking for a Data analytics Project Manager.
She/He maximises the values of the DG platform solutions (focus on Ab Initio)
- Lead design board to ensure efficient, coherent and sustainable solutions
- Lead or participate actively to Opus and Features definition and roadmap, including preparation for the Initiative Boards
- Lead functional and technical analysis for ongoing features and user stories
- Onboard users and ensure user adoption, promote and monitor usage of DG solutions through the bank
She/He's responsible for the evolution of the product/solution in accordance with the strategic vision of the bank and the CoE
- Master the data governance solutions and tools as well as the data architecture of a wholesaler bank.
- Contact with providers to increase value of our solutions
- Know the bank organisation and Agile methodology
- Respect prioritisation of features and user stories in accordance to SAP, QBR and QAP decisions
- Create and maintain strategic relationships with other Tribes and CoE
- Remain alert to IT and Data architecture evolutions (such as API development or Data Lake capabilities)
She/He's responsible for the day-to-day maintenance activities
- Ensure features and user stories management: ideation, refinement, development
- Follow up of the product backlog of the squad
- Release management of the products and solutions
- Documentation of the implemented solutions
- Develop standards and good practices such as code review board.
- Permission owner for the data governance assets
She/He ensures the solutions always answer the clients' expectations and respect the applicable regulations.
- Follow up of developments, impediments, dependencies, risks and escalation if required, including active participation to product boards.
- Ensure an efficient documentation of features and user stories (with description/value, solutions and acceptance criteria)
- Organise the sprint review with customers and collect acceptance
- Increase t-shaping of the team members to deliver better or quicker solutions for clients
Qualifications
- You have a degree in IT engineering or computer Science completed
- You have a first successful experience in data such as data governance, data quality, data analytics, Business intelligence, data lake, etc.
- You have at least 3 years of experience
- You have experience in Business Intelligence, data lake architecture, metadata harvesting and management, data quality solutions (profiling, machine learning, data discovery)
Additional Information
Languages: English (writing and spoken proficiently), French and/or Dutch is a plus
Teleworking: 50/50
Tags: Agile API Development APIs Architecture Big Data Blockchain Business Intelligence Computer Science Data Analytics Data governance Data quality Engineering Machine Learning
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