Big Data Solutions Product Owner

hace 5 días

Ciudad de México, Ciudad de México Citibank A tiempo completo
About the Role

We are seeking a highly skilled Product Owner to join our team at Citibank. As a Product Owner, you will be responsible for maximizing the value of our Data Lake and Big Data solutions by enhancing the current technological features and business strategy.

Key Responsibilities
  • Incorporate feature requests into product roadmap.
  • Team leader able to define epics, features and tasks with agile methodologies.
  • Analyzes business requirements and translates them into high-level design.
  • Clearly articulates rationale for decisions from business to technical.
  • Work with business teams and Data professionals across the organization.
  • Collaborates within the technical teams such as Data Architects, Data Modelers, ETL Developers, Project Managers, and Platform Architects.
  • Lead meetings and working sessions to solve issues, challenges and risks by factoring input from partners and diverse points of view.
  • Facilitates meetings with decision makers, technology owners, vendors, and end users to define goals and requirements.
  • Keep track of new Big Data industry trends.
Requirements
  • Bachelor's degree in Computer Science, Computer Engineering, Data Analytics, Information Systems.
  • Desired: Work experience as a Product Owner or similar role in product management, preferable in Financial institutions.
  • Familiarity with Agile engineering practices is a plus.
  • Hands-on experience managing all stages of the product life cycle.
  • Technical background with familiarity in relevant data technologies structured/unstructured databases, data modeling, data management, rapid/iterative development methodologies and data governance tools; preferable having worked with Teradata, Oracle, Cloudera stack and programming languages as SQL, Python or R.
  • Depth experience with the Hadoop stack and understanding Big Data technologies and associated data governance procedures. Knowledge in data architecture and industry data models.
  • Experience implementing high data volume solutions.
  • Proven strong presentation skills, business and technical writing and verbal communication skills to support decision-making and actions.
  • Outstanding problem-solving and critical thinking skills to recognize and comprehend complex data flows and designs.
  • Team spirit and strong communication abilities.
  • Excellent relationship management, communication and presentation skills.
  • English fluent.

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