Senior Product Manager - Client Data Visualization
New
Based in the United StatesFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 3+ years
- Required Skills
- Artificial IntelligenceProduct ManagementData scienceData visualizationStakeholder managementData modeling
Requirements
- 3+ years of product management experience in B2B SaaS, ideally within enterprise platforms, eCommerce, or marketplace environments.
- Strong experience building client-facing dashboards, analytics tools, or data visualization products focused on KPIs and business outcomes.
- Proven ability to work with Data Science and Engineering teams on data modeling, pipelines, and analytics systems.
- Strong understanding of product metrics, experimentation, and data-driven iteration based on user behavior and adoption trends.
- Experience working on AI-powered products or leveraging AI tools across product workflows such as research synthesis, prototyping, and analysis.
- Ability to translate complex technical and data concepts into clear, compelling narratives for non-technical stakeholders.
- Experience managing the full product lifecycle from discovery to launch in complex, cross-functional environments.
- Strong analytical mindset with comfort working in ambiguous, evolving data environments.
- Excellent communication and stakeholder management skills across technical and executive audiences.
- Familiarity with data visualization tools, BI platforms, or charting systems is highly valued.
Responsibilities
- Own the strategy, roadmap, and evolution of a client-facing data visualization product that highlights measurable business impact, including growth, optimization, and cost savings outcomes.
- Define and deliver KPI-driven dashboards that translate complex datasets into intuitive, actionable insights for enterprise clients.
- Partner with Data Science, Engineering, and Client Success to align on data models, metrics, pipelines, and analytics infrastructure supporting dashboard functionality.
- Translate large and complex datasets into clear visual narratives that drive client understanding, adoption, and decision-making.
- Establish product success metrics tied to engagement, adoption, and business outcomes, and iterate continuously based on performance data.
- Leverage AI tools to synthesize qualitative feedback, prototype concepts, and accelerate product documentation and analysis workflows.
- Lead end-to-end product development from ideation to launch, including PRDs, prioritization, QA, stakeholder alignment, and release management.
- Ensure data accuracy, consistency, and reliability across all surfaced insights and reporting layers.
- Drive roadmap prioritization and make independent product decisions while balancing stakeholder needs and technical constraints.
- Act as the voice of the client by managing feedback loops, triaging requests, and ensuring product direction aligns with real user needs.
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