Gathering and analyzing requirements to develop impactful Data Solutions. Demonstrating expertise through a consultative and collaborative approach to engineering. Problem solving through the knwoledge of data architectures, pipelines, warehouse and serving layers, etc. Documenting the data flow from source to target at a functional level. Investigating and performing deeper analysis to produce impactful data solutions to achieve targeted outcomes. Performing quantitative analysis of data issues. Working closely with our customers to understand their questions and needs, and then dig into our data-rich environments to find the pieces of their information puzzle Effectively communicating orally and written with peers within the Data Products, Enterprise Architecture, Technology and Client Success teams. Overall, Technical Product Manager plays a crucial role in developing and deploying the pipelines and platforms that organize and make disparate data meaningful Experience with the entire data pipeline, including data acquisition, data preparation, and database architecture Experience with data engineering projects supporting data science and AI or ML implementations Ability to support project team to scale, monitor, and operate data platforms Well versed with using Collaboration tools like Jira and Confluence. Experience working on real-time data and streaming applications Ability to consult with customers to assist in documenting technical requirements from business objectives and convert technical requirements into a proposed system architecture Experience creating solutions within a collaborative, cross-functional team environment Minimum Skills Required: SQL, Azure, Data Modeling, Strong Communications"