P

Photon

Builds custom software and AI for big companies

Data Product Manager - Voice of Member

Technical Product ManagementConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • At least 5 years of relevant product management, data product, analytics product, or comparable experience.
  • A bachelor's degree in a related field, or equivalent practical experience.
  • Experience owning product vision, discovery, roadmap, prioritization, requirements, launch readiness, adoption, and outcome measurement.
  • Hands-on working knowledge of Databricks and modern lakehouse concepts, including governed data products, pipelines, semantic layers, data quality, lineage, and self-service consumption.
  • Ability to partner with data engineering, analytics, data science, architecture, security, privacy, and business teams.
  • Ability to define product outcomes and key performance indicators, use evidence to make prioritization decisions, and communicate complex data topics in business language.
  • Working knowledge of agile product delivery, backlog management, dependency planning, and change adoption.
  • Working knowledge of Voice of Customer or Voice of Member strategy and terminology, including surveys, satisfaction, Net Promoter Score, complaints, contact reasons, journey analytics, sentiment, text analytics, root-cause analysis, and closed-loop action.
  • Ability to uphold ethical, privacy, security, quality, and governance standards for data products.
  • Ability to work in a standard office or remote environment using computers and collaboration tools.

Responsibilities

  • Define and maintain the roadmap for Voice of Member data products and connect investments to member experience, loyalty, service, and operational objectives.
  • Run discovery with Member Care, Membership, Digital, Club Operations, Merchandising, Supply Chain, and Marketing users to understand how member feedback is captured, interpreted, and acted upon.
  • Own prioritization across surveys, satisfaction measures, complaints, contact reasons, service interactions, digital behavior, journey signals, sentiment, themes, and closed-loop action capabilities.
  • Define common taxonomies, member-experience measures, business rules, quality thresholds, linkage requirements, and acceptance criteria across feedback sources.
  • Partner with data engineering, analytics, and architecture to deliver governed Databricks products that integrate structured and unstructured experience signals.
  • Evaluate and productize appropriate artificial intelligence and natural language processing capabilities, including topic classification, summarization, sentiment, emerging-issue detection, and root-cause support, with human review and responsible-use controls.
  • Design products for action, including ownership, routing, prioritization, traceability, and measurement of business response.
  • Plan adoption, training, communications, operating routines, and support so insights are embedded in product, service, and operational decisions.
  • Measure performance through adoption, data trust, coverage, insight-to-action time, and the member-experience outcome each product is intended to influence.
  • Own a cross-enterprise portfolio of Voice of Member data products serving leaders, analysts, product teams, and operators.
  • Make roadmap, scope, and sequencing decisions within the portfolio and recommend trade-offs involving shared member, interaction, and operational data.
  • Connect feedback to behavioral and operational evidence and create explainable products that help teams act responsibly.
  • Create clarity across business, data, engineering, analytics, architecture, security, and change-management partners; make trade-offs visible; and hold the product team accountable for outcomes and adoption.
  • Occasionally travel for product discovery, planning, implementation, and stakeholder needs.
  • Periodically visit clubs, distribution centers, or other company facilities to conduct discovery and understand operational workflows.

Desired Qualifications

  • Experience in retail, wholesale clubs, service, contact centers, loyalty, or digital customer experience.
  • Experience with survey platforms, contact-center analytics, digital analytics, journey analytics, or experience-management platforms.
  • Experience productizing natural language processing, generative artificial intelligence, or text-analytics capabilities with explainability, privacy, and human-review controls.

About the Company

Photon

Builds custom software and AI for big companies

Photon designs, builds, and runs custom software for large companies, combining an in-house creative agency with its own engineering teams. Its flagship client work includes rebuilding Samsung's US online store as a set of smaller linked services and creating Olive Garden's mobile app, which lets diners join the waitlist from their phones instead of waiting at the door. Clients hire Photon's teams to plan and code their apps, websites, and AI tools and to keep them running afterward, paying for the engineers and designers assigned to each project. Photon is privately held and based in London, with its US arm in Dallas and engineering centers in Chennai and Bengaluru.

Company size
5,001-10,000
Company stage
Not listed
Total funding
Not listed
Headquarters
London, United Kingdom
Founded
Not listed

Recently Posted Jobs

Explore more opportunities at Photon

See more jobs