Responsibilities
- Establish and communicate a comprehensive product vision for the full lifecycle Analytics platform, enabling users to derive meaningful insights from conversational interactions.
- Specify, evaluate, and prioritize features for analytics creation tools and reporting interfaces, emphasizing intuitive design for data exploration, visualization, and automated reporting.
- Oversee the product roadmap for data handling and transfer systems, ensuring reliable, timely, and scalable processing of massive volumes of conversational data.
- Collaborate with data science and engineering teams to embed AI and machine learning-driven insights directly into core analytics offerings.
- Set up and monitor KPIs and data quality benchmarks across data pipelines and analytical tools to maintain accuracy, timeliness, and adoption.
- Serve as the main liaison between analytics users and data engineering teams, converting complex data needs into precise technical requirements.
