Senior Product Manager, Data & Intelligence
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Job Description
Senior Product Manager leading the development of Suzy's real-time data and intelligence platform. Collaborating with cross-functional teams to deliver impactful data solutions.
Responsibilities:
- Own and execute the product roadmap for Suzy’s real-time data and intelligence platform, spanning customer data, primary research, and third-party research data
- Translate company strategy and stakeholder needs into clear product requirements, user stories, and acceptance criteria
- Define product goals, success metrics, and KPIs; measure adoption, performance, and business impact to drive prioritization decisions
- Identify opportunities to create differentiated data products that expand Suzy’s market position and revenue potential
- Lead continuous discovery with internal and external users to identify pain points, unmet needs, and opportunities for innovation
- Analyze data usage patterns and customer workflows to inform roadmap decisions and product improvements
- Ensure platform capabilities translate into intuitive, high-value user experiences
- Own the curation, orchestration, and standardization of third-party data alongside customer and primary research data
- Partner with Engineering and Data Science to build scalable pipelines and models that fuse quantitative and qualitative data into a semantic knowledge network
- Evaluate, implement, and iterate on LLMs and other AI technologies to enable reliable, scalable AI-powered product capabilities
- Establish and operationalize data quality, governance, security, and compliance standards across the platform
- Partner with Commercial teams to define data monetization strategies, packaging, and delivery models
- Evaluate, select, integrate, and manage third-party data vendors, including performance monitoring and cost optimization
- Support go-to-market efforts for new data and intelligence products in collaboration with Sales and Marketing
- Monitor platform performance and reliability, ensuring >98% uptime and adherence to SLAs
- Triage errors, drive incident resolution, and maintain clear support documentation and self-service resources
- Collaborate cross-functionally to ensure smooth delivery from concept to launch and ongoing optimization
Requirements:
- Extensive experience leading product across the full PDLC, including discovery, validation, planning, development, launch, and iteration
- Deep expertise in data systems, analytics, data science, and generative AI
- Experience leading a cross-functional product pod of engineers, data analysts, and data scientists
- Proven track record building enterprise-scale, secure, high-performance data platforms using both quantitative and qualitative data
- Hands-on experience with data analysis, including writing SQL queries
- Hands-on experience with data science and machine learning, including models for:
- Classification
- Prediction
- Anomaly detection
- Recommendations
- Natural language processing
- Strong ability to communicate complex technical concepts to non-technical stakeholders, including executives, sales, and marketing teams
- Experience launching or monetizing data products
- Experience working in B2B SaaS or enterprise data platforms
Benefits:
- We take care of our employees and their families. We have generous health dental and vision benefits, and our 401K plan vests immediately
- A friendly, fun, and collaborative work environment that allows for frequent exposure to executives
- The opportunity to make an immediate impact as a part of a fast-growing company
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