Senior Tech Product Manager - Analytics
New
L
LivePersonConversational AI
USA (EST), ESTFull-TimeSenior
Salary$110,000 to $125,000 USD
Apply NowOpens the employer's application page
Job Details
- Experience
- 7+ years
- Required Skills
- AgileBusiness IntelligenceETLProduct ManagementSaaS
Requirements
- Bachelor's degree in Computer Science, Engineering, Business, or a related field (MBA preferred).
- 7+ years of experience in product management, with a track record of successfully launching and managing SaaS analytics and reporting products or platforms.
- Deep understanding of data warehousing, business intelligence (BI) tools, reporting systems, high-scale data processing, event-driven architectures, and cloud infrastructure.
- Proven ability to develop and execute product strategy for data and analytics products, prioritize features, and drive product roadmap planning in a fast-paced, agile environment.
- Strong analytical skills, with the ability to gather and interpret data, identify trends in product usage, and make data-driven decisions.
- Excellent communication, collaboration, and leadership skills, with the ability to influence and inspire cross-functional teams.
- Experience working with enterprise customers on their reporting and analytics needs.
- Strong customer focus, with the ability to empathize with customer data consumption pain points.
Responsibilities
- Develop and articulate a clear product vision and strategy for our end-to-end Analytics platform, ensuring it empowers customers and internal teams to gain actionable insights from Conversational Data.
- Define, review, and prioritize features for the Analytic Studio/Builder and Report Center, focusing on an intuitive user experience for data exploration, visualization, and report scheduling.
- Manage the product roadmap for Data Services and Data Transporter, guaranteeing the timely, accurate, and scalable ingestion and preparation of petabyte-scale conversational data streams.
- Work closely with Data Science and Engineering teams to integrate Conversational Intelligence features directly into the core analytics products.
- Define and track key performance indicators and data quality metrics for all data pipelines and analytic tools, ensuring high data reliability, freshness, and tool usage.
- Act as the primary interface between Analytics users and the Data Engineering teams, translating complex data requirements into clear, technical specifications.
View Full Description & ApplyYou'll be redirected to the employer's site
