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About Adobe
Adobe Inc. is a global software company known for creative and multimedia software products including Photoshop, Illustrator, Acrobat, and its cloud-based Creative Cloud and Document Cloud suites. Industry: Creative & Digital Experience Software
Adobe currently has
282 open roles
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Listed pay typically runs
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JOB TITLE: Internal Product Manager 5
The Sr. Product Manager for Sales & Post Sales Data & Analytics joins the Information and Data Services team to drive the prioritization, planning, and execution of enterprise-scale data solutions. This role involves partnering with internal stakeholders across Sales, Operations, and Strategy to gather requirements and transform customer analytics needs into defined data engineering features. You will lead the end-to-end delivery of solutions integrating batched and streaming data sources while serving as a product management liaison to engineering teams. Key responsibilities include maintaining the product backlog, performing regular data querying, and supporting scrum events. Required skills include proficiency in SQL, SparkSQL, and Python, along with experience using Databricks, Power BI, and Tableau to solve complex data management and business capability problems.
Drive the prioritization, planning, and execution of enterprise-scale data and analytics solutions.
Translate customer analytics needs into defined data engineering requirements, features, and enhancements.
Lead the end-to-end delivery of data solutions integrating batched and streaming data sources.
Perform regular data querying and analysis to provide insights for customer engagement and predictions.
Maintain and prioritize the product backlog while managing competing requests from various stakeholders.
Serve as the Product Owner to support sprint planning and other agile scrum events.
Deliver self-service data and insights tools to enable faster data-driven business decisions.
What we're looking for
Requires a bachelor's degree.
Preferred candidates will have a degree in computer science, computer engineering, data science, information systems, or equivalent experience (preferred).
4+ years of experience in data analytics, data BSA, or data product management in an agile environment.
Proficiency in SQL, SparkSQL, and Python for querying and manipulating large data sets.
Experience with platforms such as Databricks, Power BI, and Tableau.
Skills in data requirement writing, including collecting, prioritizing, and gathering input from multiple sources.
Ability to learn enterprise application capabilities like SAP/HANA, MS Dynamics, ADLS/Hadoop, and Kafka streams.
Strong interpersonal communication, presentation, and ability to influence outcomes and mediate to consensus.