You will be a business/data Analyst, part of an agile team focused on exciting transformation challenges around data. You will work with some of the largest banks in the world, on projects that will transform the financial services industry You will modernize related processes and set-up, develop, and optimize state-of-the-art solutions and the corresponding data management all the way from business analysis to implementation.

Lead the development, delivery, and deployment of innovative data products, coordinate workstreams, and spearhead the Data Governance and Data Management program. Guide data governance initiatives, focusing on creating and upholding an enterprise-wide data governance framework. Adaptability and a proactive approach will be invaluable in this vibrant, almost startup-like environment.

You will be responsible for leading a team of Data Engineers that architects and maintains dv01’s core data pipeline infrastructure, working with individual contributors and cross-functional peers to plan and execute on maintenance and improvements to the existing data platform, as well as developing architectures to support new business opportunities.

This is a great opportunity for a candidate who is passionate about data and wants to have a direct influence on the success of an industry-leading software company. You will refine ambiguous questions/asks and generate requirements that support internal data products. Also, you will build complex BI reporting and analysis to provide stakeholders with insight.

Assist in the development and management of data products that drive insights and decision-making. Collaborate with stakeholders to understand business requirements and translate them into actionable product features. Work closely with data engineers and scientists to define data requirements and processing pipelines. Assist in the design and implementation of data products, ensuring they meet quality standards.

Lead a team of product managers, driving impactful products that help companies engage their employees and customers in meaningful ways. Manage data and analytics platform products throughout the entire product development lifecycle, from discovery and experimentation to launch. The role requires a strong background in data science and AI product lifecycles.