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Senior Product Manager: Analytics & Insights

Job in Duluth, Gwinnett County, Georgia, 30155, USA
Listing for: Cincsystems
Full Time position
Listed on 2026-03-03
Job specializations:
  • IT/Tech
    Business Systems/ Tech Analyst, Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

Senior Product Manager:
Analytics & Insights About the Role

We are seeking an experienced Senior Product Manager to lead our Analytics & Insights product area. This role is responsible for defining and executing the strategy for how analytics and insights are captured, modeled, and delivered across internal decision-making, customer-facing reporting, and native in-product experiences, with AI used to enhance clarity, speed, and actionability.

You will own the end-to-end analytics experience, spanning:

  • Native, in-product dashboards and AI-enhanced insights that support real-time decision-making
  • Customer-facing reporting experiences designed for operational review, sharing, and distribution
  • Internal analytics used by leadership and teams to understand performance, risk, and opportunity

This role sits at the intersection of data, product experience, and business strategy. You will shape not just what analytics we deliver, but how insights show up in workflows and drive action across our platform.

About CINC Systems

CINC Systems is the largest provider of accounting and management software in the community association management industry and the innovator behind accounting and banking integration. Founded in 2005 by a banker as the industry’s first SaaS offering, CINC Systems now employs nearly 400 people and provides software and applications to more than 50000 associations servicing over 5 million doors.

In January of 2024, Hg Capital made a significant investment in CINC to accelerate the company’s growth trajectory and institute rapid product development.

At CINC, innovation drives our growth, and our people sustain it. We are proud of our humble, accountable, and team-oriented culture, and we are committed to building products and a workplace that create long term value for our customers and our team.

Key Responsibilities Product Strategy and Roadmap
  • Define and execute the product strategy for analytics, reporting, and predictive insights aligned with company objectives
  • Own the roadmap for analytics platform capabilities, dashboards, and reporting experiences
  • Identify and prioritize investments that improve customer insight, operational decision-making, and forecasting accuracy
  • Partner with leadership to shape a clear long-term analytics vision and sequencing strategy
Data and Analytics Leadership
  • Lead the strategy for capturing, modeling, and organizing data across the analytics platform, using modern data lake technologies while maintaining flexibility as platforms and standards evolve
  • Ensure data structures support internal analytics, customer reporting, and native in-product experiences
  • Partner with engineering and data teams on ingestion, transformation, governance, and performance best practices
  • Establish clear principles for when analytics should live inside workflows versus standalone reporting surfaces
Reporting and Dashboard Experiences
  • Own the internal analytics ecosystem used by leadership and operational teams
  • Define and evolve customer-facing reporting experiences that support operational workflows and easy sharing
  • Lead the strategy for natively built customer dashboards that enable deeper customization and differentiated experiences
  • Partner closely with design to translate complex data into clear, actionable insights
  • Ensure consistency, trust, and clarity across all analytics surfaces
Predictive and AI-Driven Insights
  • Drive the development of predictive and forward-looking analytics capabilities
  • Identify opportunities where forecasting, trend analysis, anomaly detection, and recommendations deliver real customer value
  • Partner with engineering to integrate AI-powered insights that provide contextual guidance and decision support
  • Translate advanced analytics concepts into usable, customer-friendly experiences
Customer and Market Focus
  • Conduct customer interviews to understand analytics and reporting pain points
  • Analyze usage data to identify opportunities for improvement and innovation
  • Monitor industry trends in analytics, data platforms, and AI to inform product decisions
Cross-Functional Collaboration
  • Work closely with engineering to translate business needs into clear, actionable requirements
  • Collaborate with…
Position Requirements
10+ Years work experience
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