Data Product Owner

Michael Page + Seguir empresa
Madrid - España 29/06/2022

Descripción de la oferta de empleo

Perfil buscado (Hombre/Mujer)


Responsibilities:
• Manages moderately complex initiatives within the GDE Data project and recommends and implements new or enhanced data products to better meet stakeholder or customer needs
• Leads development of project backlogs and plans, including milestones and dates, identification of parties and processes impacted by a data solution.
• Grasps new technologies needed to progress initiatives, while demonstrating an understanding of the use of data in solving a business use case.Can create roadmaps for product delivery,innovate and create new product ideas.
• Prioritizes efforts based on customer value.
• Responsible for communicating the data product vision effectively to key stakeholders and team members.
• Communicates to a senior audience about progress, blockers, resource needs and how technical designs meet business needs, with a command of industry trends and business processes.
• Breaks down data issues and resolve them, by prototyping data solutions to meet the needs of both the organization and business internal customers
• Focus on alignment of development and business resources on goals and priorities while working with stakeholders and team to remove roadblocks to execution
• Thinks through proof-of-concept solutions and how they will be maintained, and can help assess whether proof-of-concepts are viable and scalable by partnering with IT

• Multinational Insurance Company|Data Product Owner - Final Company (Insurance Sector)

Job qualifications:
• Bachelor´s or master´s degree in business or technical discipline or equivalent experience.Master´s degree preferred.
• Minimum of 5 years related experience.
• Knowledge of Agile development methodologies and IT project management.
• Excellent problem-solving skills with ability to lead the team to push the solution and progress. Data querying and manipulation skills with languages such as SQL, Python and SAS preferred. Familiarity on informational data systems, databases, reporting tools and analytical uses of data.
• Strong analytical background with strategic thinking capabilities, influencing skills, attention to detail and ability to effectuate change.
• Ability to communicate effectively with all levels of management both verbally and in writing.Ability to make difficult and quick decisions on a daily basis.
• Ability to influence a diverse group of stakeholders through strong leadership skills.
• Ability to manage multi-country issues and therefore to feel comfortable in multi-cultural environments.
• English business proficiency required. Experience with Spanish and Portuguese preferred.
• Ability to travel internationally approximately <10% of the time.


TOP Multinational Insurance Company

In this role you will be involved into international teams with key stakeholders across different functions and/or levels at the organization: local business functions, data teams, local and global IT, etc. You will be involved in the support of data needs for the Global Digital Ecosystem (GDE), a Digital Transformation to rethink all core business components and build a solution that encompasses the entire customer experience within a digital ecosystem. Making strong and reusable data capabilities will be a key part of the success of GDE.

You have strong abilities to evaluate and prioritize use cases with consideration towards business value, effort level, and timelines of interdependencies. You also have a strong grasp of database systems and demonstrate technical expertise to articulate nuanced requirements to a team of developers. You will also need to show success working in highly collaborative environments consisting of people from different backgrounds, countries, and experiences.


Interesting professional opportunities

Otros detalles de la oferta

CVs inscritos en el proceso: 6

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Datos principales de la oferta
  • Madrid - España
    Ubicación
  • Responsable de Producto
    Funciones
  • Jornada completa
    Jornada
  • 3 años
    Experiencia
  • Indefinido
    Tipo contrato
  • SQL Python

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