Salary
💰 $150,200 - $278,800 per year
About the role
- Define and own the strategy for data ingestion and querying within Journey Management, ensuring massive data streams are captured, structured, and transformed into usable insights. Shape the foundation of analyst experiences by translating backend capabilities into intuitive, fast, and trustworthy data exploration tools. Establish and enforce data quality standards , ensuring accuracy, reliability, and timeliness across large-scale datasets. Partner closely with engineering to guide technical trade-offs in scalability, performance, schema evolution, and system reliability. Collaborate with product managers across multiple data domains (e.g., agent, web, outbound, custom events) to integrate new and existing data sources seamlessly. Work with core data infrastructure teams to align on ingestion pipelines and platform capabilities — balancing Genesys Cloud–originating data with external customer-provided data sources. Champion the analyst and business user perspective , ensuring backend capabilities directly enable better insights and decision-making. Drive roadmap clarity and execution , breaking complex initiatives into clear deliverables, aligning stakeholders, and keeping execution on track.
Requirements
- 6+ years of product management experience with data or analytics platforms. Strong understanding of data pipelines, querying systems, and modern data formats. Experience translating technical architecture into customer value. Proven track record of owning critical platform components at scale. Strong analytical and problem-solving skills; able to ask the right questions of both customers and data. Excellent collaboration skills; experienced working in matrixed environments across multiple teams. Exceptional communication and storytelling ability; skilled at simplifying complex concepts for different audiences. Strategic operator with hands-on detail orientation; comfortable setting vision and diving into technical details. Bias for action — proven ability to move initiatives forward, measure impact, and iterate quickly. Bachelor's degree in Computer Science, Engineering, Data Science, or related quantitative field (or equivalent experience).