The Data Solution team is responsible for technical design and end-to-end delivery of complex data-driven solutions and data products for the enterprise. The Solution Design Lead, Consultant will report to the Sr Manager, Data Solutions. In this role you will be partnering with Enterprise Architects, Portfolio, Analytics and Data engineering teams for designing technical solutions and building data products to meet enterprise data needs. You will be responsible for driving the data product by de... more details
Your Role
The Data Solution team is responsible for technical design and end-to-end delivery of complex data-driven solutions and data products for the enterprise. The Solution Design Lead, Consultant will report to the Sr Manager, Data Solutions. In this role you will be partnering with Enterprise Architects, Portfolio, Analytics and Data engineering teams for designing technical solutions and building data products to meet enterprise data needs. You will be responsible for driving the data product by designing and implementing cloud data lakes, data warehouse and data mart solutions. If you have a passion for innovation with a data driven mindset and can-do attitude, we are looking for you.
Your Work
In this role, you will:
Provide technical expertise and leadership in designing and implementing data-related products and solutions within the organization
Design end to end robust, scalable, real time data pipelines and data platform architecture that will support the analytical and reporting needs of the entire organization
Lead the review and design for new data products, maintain product documentation including technical design specifications and release notes
Work closely with data engineers and data analyst teams, utilizing agile methodologies to plan and prioritize product backlog
Work collaboratively to drive adoption and enforcement of technical standards, design principles, best practices, guidelines ensuring compliance and integrity of data product
Partner with Portfolios to enable, architect, implement and define the technical requirements, principles and models that guide data solution decisions for on-prem, cloud and hybrid ecosystem
Build strong relationships and drive alignment on difficult topics; Effectively work across team boundaries to implement data architecture and data management best practices
Provide comprehensive analytical thinking to ensure time to market, cost impact and value are properly understood, estimated, and controlled across people, process, and technology
Monitor and analyze the performance of data product, identify areas of improvement or optimization to enhance the data product and its features
Collaborate with stakeholders to gather their data-related needs, translate them into technical stories, prioritize features and enhancements, create product roadmaps considering business objectives
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