Product Operations Manager

Role Description

NPS Prism has experienced tremendous growth as a standalone software and data business over the past few years and is making the leap from being a consulting-led business to a technology-led business. Given that shift, we are looking to build our team with world-class team members to help drive business growth to its full potential in this next phase. This is a great opportunity to help build the largest startup owned by Bain & Company and take NPS Prism into the future.

Key Responsibilities

• Independently owns the workstreams assigned to the individual and develops client ready visualization dashboards using tools like Tableau with minimum guidance.
• Works with multiple stakeholders, across instruments and workstreams to provide expertise in data management.
• Provides structured support to junior team members, including helping them understand tools, logic flows, and standard work practices.
• Builds reusable capabilities and templates that improve team efficiency and scalability, ensuring that they are well documented and across service lines.
• Analyze the data using tools like SQL, Alteryx, and Databricks.
• Design and execute new benchmarking survey instruments, including assessing data needs and designing the primary research surveys and sample specification.
• Respond to onshore team/client questions around the data and insights.
• Translates complex technical concepts such as screener logics, dashboard workflows, and research methodologies into clear explanations for internal teams and client facing discussions.
• Provide ongoing support for subscription customers, such as additional data cuts and responding to questions about the data/methodology with precision and speed.
• Support commercialization efforts, including conducting data-driven analysis for proposals, building custom outputs, and conducting product demos with prospective clients.

Qualifications

• Graduate/post graduate from top-tier institute or have pursued a statistical/analytical course from a tier 1 university.
• Concentration in a quantitative discipline such as Statistics, Mathematics, Engineering, Computer Science, Econometrics, Business Analytics, or Market Research (preferred).

Requirements

• 2+ years of experience in areas related to Data Management, Business Intelligence or Business Analytics. Hands-on experience in managing end-to-end customer surveys, data analysis and visualizations.
• Extensive hands-on experience with Tableau, with strong command of dashboard design, interactivity, and performance optimization.
• Proven experience using Alteryx for data prep, transformation, and validation at scale.
• Proficient in applying statistical and data mining techniques to derive meaningful insights from customer feedback and survey data.
• Comfort with SQL and Python (preferred), especially for data manipulation, automation, or analytics tasks.
• Proactive problem-solver with a strong sense of ownership and attention to detail.
• Experience mentoring junior team members and contributing to collaborative team culture.
• Excellent interpersonal, written, and verbal communication skills.
• Comfort working in a hybrid or remote environment with distributed teams.
• Demonstrates resilience and adaptability in navigating change and feedback.
• Consistently seeks feedback and iterates to improve performance and team outcomes.