Careers

Duties and responsibilities

• Engage in the strategic process of project prioritization, project management, and seamless delivery communication.
• Collaborate closely with the Data Engineering Senior Manager and Data Architect to strategize and prioritize projects for the roadmap.
• Lead sprint planning and adeptly manage the workloads of cross-functional scrum teams.
• Foster a collaborative environment with other Product Owners throughout the organization to ensure the successful implementation of technical solutions.
• Effectively communicate the roadmap and overarching objectives to stakeholders, ensuring clarity and alignment.
• Provided insightful guidance to stakeholders, aiding them in identifying information requirements tailored to their specific processes and operational needs.
• Advise power users within the bank, offering expert recommendations for optimizing day-to-day functionalities leveraging the data platform.

• Take ownership of ongoing data projects within the domains of data science and data engineering.
• Actively participate in shaping the bank’s data warehouse through meticulous modelling.
• Play a pivotal role in driving Data Science initiatives that yielded tangible business value.

• Regularly engage with stakeholders across diverse business units, fostering alignment and meaningful collaboration.
• Support the data engineering team in their daily operations, taking charge of leading SCRUM ceremonies.
• Develop into a recognized subject matter expert on the intricacies of the data platform.

Required knowledge, skills and experience

• Possess a bachelor’s or master’s degree in a data-related field.
• Have over 5 years of hands-on experience in the data sector, involving engagement with stakeholders of varying hierarchical levels.
• Proven expertise within the banking industry, exhibiting an in-depth understanding of its unique dynamics.
• Proficient in the methodologies of SCRUM, applying them effectively to enhance project management.
• Adept in utilizing Snowflake and equipped with advanced SQL knowledge.
• Well-versed in spearheading data science initiatives, reflecting a comprehensive understanding of their implementation.