Technical Product Lead

Key Responsibilities

• Oversee the evolution of the data platform encompassing data pipelines storage and processing.
• Establish and nurture robust relationships with stakeholders to guarantee a positive user experience and to identify any potential opportunities for additional services or products.
• Play a key role in the formulation and execution of the data management strategy for the platform and ensure that the platform aligns with the Bank’s goals and objectives.
• Guide the technical trajectory and blueprint of the platform in partnership with the engineering teams including the adoption of novel technologies and solutions.
• Guarantee the attainment of data accuracy efficiency and performance objectives.
• Preserve datacentric technical documentation processes and architecture.
• Work in tandem with crossfunctional teams to provide value to the bank and fulfil business requirements.
• Uphold the security and compliance of the platform in accordance with pertinent regulations.
• Keep abreast of emerging technologies and trends and propose enhancements.
• Mentor and guide team members to foster the growth of the platform.
• Incorporate feedback from relevant teams including data analytics product and business in platform design.
• Steer project delivery within budget and timeline while juggling multiple priorities.
• Articulate technical concepts to nontechnical stakeholders.
• Undertake business analysis to comprehend the industry and competition.
• Cultivate positive team collaboration and alliance.
• Continually assess and refine the platform to remain at the forefront of technology.
• Ensure a smooth communication channel between business stakeholders and the data team and serve as a liaison between technical and businessoriented groups.

Knowledge & Experience

• Possession of a Bachelor's or Master's degree in fields related to Computer Science or Engineering.
• Proven track record in the development and management of an Azure cloudbased data & analytics platform.
• Comprehensive experience in the complete data pipeline development process encompassing data warehousing data analytics and ETL processes.
• Profound understanding of best practices in data governance privacy and quality.
• Exceptional skills in communication leadership and team management.
• Capability to handle multiple tasks meet stringent deadlines and deliver topnotch solutions.
• Solid grasp of contemporary data architecture concepts and experience in data modelling.
• Familiarity with the costs associated with data management including CI/CD driven processes.
• Prior experience in Agile methodologies and project management.
• Ability to comprehend the effects of business rule modifications on data.
• Robust problemsolving decisionmaking and analytical abilities.
• Selfmotivated with a commitment to continual enhancement of data platforms and processes.
• Previous experience in the Banking and Financial Services sector is advantageous.
• Deep knowledge or experience with using as much of the following:
• Azure Cloud Data Components Databricks Python PySpark Terraform APIs Lakehouse Data Mesh Nosql DBs GitHub

Person Specification

• Self motivator with a desire to learn new skills and embrace new technologies in a constantly changing technology landscape.
• Ability to thrive in a fastmoving environment.
• Ability to show initiative innovation and work independently when required.
• Ability to work at pace and tackle project challenges in a collegiate collaborative way.
• Goal and outcome orientated.
• Thoroughness and attention to detail
• Ability to bridge communications between technical and business focussed groups
• Comfortable working with people at all levels in an organisation