What are the responsibilities and job description for the Data Product Manager position at Xyant Services, Inc.?
Job Details
Role : Data Product Manager
Location : San Jose, CA (Hybrid)
Duration : Long Term Contract
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 humour.
- 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)
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