Engage, Innovate, Grow Efficiently
Data management and BI • Predictive Analytics • Risk Analysis • Cloud Platform • Unified digital, core, analytics, and AI
August 3
🔄 Hybrid – Bay Area
Engage, Innovate, Grow Efficiently
Data management and BI • Predictive Analytics • Risk Analysis • Cloud Platform • Unified digital, core, analytics, and AI
• Lead one or more engineering teams through the ideation, technical development, and launch of innovative product capabilities, geared towards ingestion of data into the platform. • 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. • Work with your manager and peers to ensure alignment of your team's work with the larger Data platform and analytic organization's roadmap. • Gather and define the requirements that will be used to research and innovate new methods of data acquisition in the cloud. • Be the expert who can help customers, QA, support, sales, and other groups with questions about our cloud native data infrastructure and products. • Manage dependencies across different teams and ensure features are delivered on time. • Triage prioritize and respond to customer issues and escalations. • Develop a deep understanding of customers’ needs, goals and challenges in order to ensure successful adoption of Data Access products.
• 5+ years product management experience. • 5+ years of experience working with technical architecture of cloud solutions & security. • This role requires conceptual understanding & 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 & cloud technologies, services, tooling & infrastructure preferred. • Experience working with different technologies used for data integration and data replication is preferred. • Experience working with AWS and its native services, like EMR, Redshift, MSK is a plus. • Experience working with B2B SaaS (software as a service) companies is a plus. • Software engineering experience is a plus.
Apply Now