What are the responsibilities and job description for the Product Manager position at Xyant Services?
Job Title: Product Manager
Location: San Jose, CA-Hybrid
Contract: 9 Months
Job Description:
What you’ll do
- Democratize data and insights as you strive to deliver self-service tools to your partners and enable them to make better, quicker decisions
- Contribute to product strategy and vision for Enterprise Data & Analytics (EDA) team and build working relationships with partners to understand their data analytics needs and priorities, clarify objectives and clearly communicate plans.
- Review customer business/analytic needs and transform them into clearly defined product requirements, features, and enhancements.
- Prioritize and oversee end-to-end delivery of 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.
What you need to succeed
- Bachelor's Degree or 5 years of equivalent practical experience
- Strong proficiency in SQL/SparkSQL/Python to query and manipulate large data sets. Experience with platforms like Databricks, Power BI and Tableau.
- You are a self-starter, independent, hard worker, with a high degree of motivation to go above and beyond the task at hand. You anticipate and creatively implement next steps in a complex environment
- You have mastered the ability to influence outcomes, navigate, mediate to consensus with integrity. You possess great interpersonal communication, presentation skills, and social skills and a solid sense of humor.
- 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 in order to deliver transaction and event-driven data solutions (examples: SAP, MS Dynamics, Adobe’s Experience Platform and similar marketing tools, ADLS/Hadoop/Databricks, Kafka streams)
