Jobs at NPS Prism

Research and prioritize strategic enterprise accounts, identify buying committees, develop personalized multichannel outreach, generate qualified sales conversations, and create new opportunities. The role partners with sales, marketing, client engagement, RevOps, and Bain teams; maintains accurate HubSpot records; prepares account briefs and value hypotheses; engages senior stakeholders; and captures market intelligence to improve commercial messaging and pipeline generation.

Develop and optimize Databricks, Python or PySpark, and SQL data pipelines; build Tableau dashboards; prepare and analyze survey and customer data; support benchmarking research and subscription customers; and assist with AI/ML-driven data automation. The role also involves generating custom data cuts, translating technical findings into stakeholder-ready insights, documenting reusable processes, and collaborating on scalable product operations workflows.

Build client-ready dashboards, conduct large-scale data analysis, design data workflows and analytical queries, and apply statistical techniques including regression, sentiment, fraud, and time-series analysis. The role communicates insights to product teams, supports quality control and complex client workstreams, and provides ongoing customer data support. Responsibilities also include optimizing data processes and contributing to automated pipelines and product feature development.

Supports product delivery and development for a customer experience benchmarking platform. Responsibilities include monitoring surveys and data flows, reviewing dashboards, validating analytical models, generating client-facing insights, contributing to feature design, ensuring quality, addressing client questions, improving workflows, and collaborating with Product, Operations, Commercial, and Technology teams.

The Associate, Product Operations develops visualization dashboards using Tableau, manages data workflows, automates processes, and supports client interaction through data insights.

Leads a multidisciplinary engineering team spanning data engineering, data science, and software engineering. Responsibilities include people management, hiring, Agile delivery, sprint and backlog planning, stakeholder coordination, technical oversight, platform reliability, scalability, governance, security, compliance, and operational resilience. The manager partners with product, analytics, infrastructure, and business teams to deliver reliable, scalable platforms and product capabilities.

Own end-to-end technical recruiting for NPS Prism India Hub, partnering with hiring managers to source, screen, interview, and close candidates for data, engineering, and operations roles. Build talent pipelines, implement sourcing strategies, manage offers and onboarding momentum, provide market intelligence and DE&I hiring practices, and report on hiring metrics to improve time-to-fill and quality of hire.

The Analyst, Product Operations will develop data pipelines, work with ETL/ELT workflows, support automation, and prepare data visualizations, collaborating closely with senior team members to ensure quality outputs.

The Staff Data Engineer will design and optimize data architectures and pipelines, mentor staff, and collaborate on data strategy while ensuring quality and governance.

The Data Scientist II position involves developing and deploying AI solutions, building predictive models, and managing data science projects. Responsibilities include collaboration with cross-functional teams, applying statistical analysis, and ensuring model governance. Candidates should have experience in classical ML and modern AI systems with end-to-end project management skills.

The Data Engineer will develop and optimize data pipelines, work with cloud platforms, manage data solutions, and collaborate with teams to fulfill business data requirements.