The Opportunity 

The Sr. Product Manager for Sales & Post Sales Data & Analytics will drive prioritization, planning, and execution of enterprise-scale data and analytics solutions. The candidate is passionate about Sales Data Management, Sales processes, , and the people that use them! This individual will work with internal stakeholders across Sales, Operations, and Strategy to gather and prioritize critical business requirements in support of the Sales Data and Analytics technology roadmap and vision in collaboration with other Product Managers across Sales & Post Sales platforms. This person will also partner with System Analysts and Development teams to design, develop, and deliver business capability solutions that provide accuracy, value, and exceptional user experiences.

• Partner with the business to deliver and enable self-service data and insights tools to allow them to make better and quicker data-driven decisions.
• Serve as product management liaison to data and analytics engineering teams.
• Contribute to product strategy and vision for the Information and Data Services team. Build working relationships with partners to understand their data analytics needs and priorities, clarify objectives, and communicate plans.
• Review and transform customer analytics needs into defined data engineering requirements, features, and enhancements. 
• Prioritize and lead end-to-end delivery of data solutions that integrate batched and streaming data sources.
• Leverage Adobe’s strategic data assets to deliver trusted insights that drive business outcomes, promoting our data-driven decision-making culture.
• Perform regular data querying and analysis for applied data analytic insights, customer engagement, predictions, and recommendation solutions. 
• Collaborate with other Product Managers to deliver interdependent solutions and initiatives. 
• Maintain and prioritize the product backlog and manage competing requests from stakeholders and user groups.
• Support sprint planning and other scrum events as the Product Owner

• Requires bachelor's degree. Preferred candidates will have a degree in one of computer science, computer engineering, data science, information systems, or equivalent experience.
• 4+ years of experience in data analytics, 'data BSA,' or data product management with a solid understanding of delivering data solutions in an agile environment.
• Strong SQL/SparkSQL/Python proficiency in querying and manipulating large data sets. Experience with platforms like Databricks, Power BI, and Tableau. 
• You are a self-starter, independent, hard worker with high motivation to go above and beyond the task at hand. You anticipate and creatively implement the next steps in a complex environment.
• You have mastered the ability to influence outcomes, navigate, and mediate to consensus with integrity. You possess excellent interpersonal communication, presentation skills, and social skills.
• Data requirement writing skills: collecting, prioritizing, and gathering input from multiple sources, providing accurate requirements with attention to detail.
• You already know or can rapidly learn enterprise application capabilities to deliver transaction and event-driven data solutions (examples: SAP/HANA, MS Dynamics Data, ADLS/Hadoop/SQL Server /Databricks data lake/lakehouse solutions, and Kafka streams).

Expected Pay Range:

At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans.  Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.