Product Solution Feedback Director

JPMorgan Chase JPMorgan Chase · Banking · Jersey City, NJ +1 · Corporate Sector

This role is responsible for building and operating an Enterprise Feedback Operating System that consolidates employee feedback from various sources into actionable insights for product decisions. The role involves synthesizing data using AI/ML techniques like sentiment analysis and auto-categorization, creating insights dashboards, and partnering with product teams to translate insights into roadmap items. While AI/ML techniques are used for analysis, the core deliverable is the feedback system and insights, not the AI models themselves.

What you'd actually do

  1. Synthesize data using AI/ML techniques such as sentiment analysis, auto-categorization, theme detection, and anomaly detection.
  2. Generate weekly insights dashboards and monthly executive transparency reports, maintaining 90%+ data quality through validation and governance.
  3. Identify and prioritize issues using impact, effort, and volume frameworks; partner with product teams to translate insights into actionable roadmap items.
  4. Manage the collection of client feedback and oversee its delivery to Product teams, ensuring unified feedback standards across 10+ channels (surveys, support tickets, telemetry, etc.).
  5. Create and maintain a Jobs to be Done (JTBD) taxonomy, organizing feedback by 8 core employee job categories.

Skills

Required

  • 8+ years of experience or equivalent expertise leading and developing solutions across multiple teams and a cluster of products, data analytics, customer success, or operations
  • Strategic thinking: ability to set vision and establish governance
  • Data fluency: comfortable with dashboards, SQL, data platforms (Snowflake, Power BI, Tableau)
  • Stakeholder management and executive communication; Cross-functional collaborator: comfortable working across matrix teams
  • Familiarity with enterprise feedback/VOC (Voice of Customer) programs
  • Understanding of product management and how products iterate
  • Basic knowledge of AI/ML capabilities (sentiment analysis, NLP, classification)
  • Demonstrable experience structuring and handling complex solutions for business problems to meet clients’ needs
  • Strong synthesis skills: distill insights from thousands of data points
  • Detail-oriented: establish clear RACI, processes, and governance
  • Change agent: drive cultural shift from reactive to data-driven decision-making

Nice to have

  • HR technology or employee experience product background is a plus
  • Experience scaling programs from pilot to enterprise (350K+ users)
  • Exposure to Jobs to be Done (Clayton Christensen) framework
  • Prior work in AI/ML analytics projects
  • Knowledge of Qualtrics, ServiceNow, Snowflake, or Azure AI
  • Enterprise organization experience

What the JD emphasized

  • 8+ years of experience or equivalent expertise leading and developing solutions across multiple teams and a cluster of products, data analytics, customer success, or operations
  • Basic knowledge of AI/ML capabilities (sentiment analysis, NLP, classification)
  • Strong synthesis skills: distill insights from thousands of data points
  • Detail-oriented: establish clear RACI, processes, and governance