Senior Product Manager -Data Platform (Exton, PA)

In this role you will :

• Collaborate with one or more engineering teams through the ideation, technical development, and launch of data curation and management services that internal application teams and customers leverage to develop content and solutions for analytics applications.
• Drive feature level design sessions and product development with engineers, architects & UX
• Establish shared vision across the company by building consensus on priorities leading to product execution
• Define and analyze metrics that inform the success of products
• Maximize efficiency in a constantly evolving environment where the process is fluid and creative solutions are the norm
• You will work with your manager and peers to ensure alignment of your team's work with larger Data applications, platform, and analytic organization's roadmap
• Gather and define the requirements that will be used to research and innovate new methods of performant and secure metadata management, data curation, and transformation at scale
• Be the expert who can help customers, QA, support, sales, and other groups with questions about our cloud native data platform storage and processing, data integration, and products
• Manage dependencies across different teams and ensure features are delivered on time
• Triage, prioritize and respond to customer issues and escalations
• Work on-site in our Exton, Pennsylvania office minimum of eight (8) days per month.

Required skills & Experience :

• 3+ years product management experience
• 3+ years of experience working with technical data management and integration architecture of cloud solutions and security
• This role requires conceptual understanding and knowledge of micro services, distributed systems, AWS (Amazon Web Services), Big Data ecosystem.
• Cloud native software delivery experience
• Ability to manage complex initiatives with limited supervision.
• You are driven, focused, and quick to take ownership of your work
• Adaptable, resilient, and able to thrive in ambiguity
• You should feel comfortable with data ingestion, cataloging, integration, and enrichment concepts and techniques and be able to understand how data relates to end user analytics requirements and applications.
• Technical knowledge of big data and cloud technologies, services, tooling & infrastructure preferred
• Experience working with different technologies used for data acquisition and data replication, like change data capture is preferred
• Experience working with B2B SaaS (software as a service) company is a plus
• Software engineering experience is a plus