Senior Product Manager

Overview

Senior Product Manager for Trusted Data Products, owning the evolution of key capabilities in Condé Nast's enterprise data platform, including curated data products and AI-enabled analytics such as conversational data exploration.

What you'll do

• Drive technical enhancements that support BI, insights enablement, and AI-powered data experiences, aligning platform improvements with global business needs.
• Partner with Analytics and business teams globally to identify recurring challenges and translate them into reusable platform capabilities that improve data accessibility, self-service, and decision-making.
• Manage engineering delivery, dependencies, release readiness, technical risks, and ongoing platform health; track measurable outcomes and communicate progress clearly.
• Drive development of curated, business-ready Gold-layer data products that move teams from fragmented reporting toward consistent, AI-powered insights.
• Partner with Engineering, Analytics, and Data Governance on data contracts, definitions, quality standards, lineage, documentation, certification, and monitoring.
• Identify opportunities to enhance and manage existing data products, such as Identity Resolution and Single Customer View, in partnership with their stakeholders and owners.
• Drive development and continuous improvement of conversational AI capabilities, including the curated datasets needed to support trusted natural-language analytics.
• Work with Analytics and Engineering to improve semantic definitions, metadata, context, and data readiness so AI-generated answers are accurate and useful.
• Establish evaluation, testing, feedback, and monitoring practices for conversational data access; identify opportunities to expand conversational analytics, AI assistants, and other capabilities.

What you'll need

• 6+ years of product management experience, including significant work on data platforms, analytics infrastructure, or technical data products.
• Strong understanding of SQL, data modeling, pipelines, medallion architecture (Bronze/Silver/Gold), data quality, lineage, observability, and access controls.
• A track record of partnering closely with data engineers to deliver dependable platform capabilities, curated datasets, and technical improvements.
• Ability to turn broad goals into crisp requirements, priorities, acceptance criteria, and executable plans while exercising independent product judgment.
• Understanding of semantic and metrics layers, metadata, and the foundations needed for trustworthy AI-enabled analytics.
• Experience supporting BI and analytics tools and collaborating with analysts to solve recurring data-access and usability problems.
• Strong communication skills and experience working across global Engineering, Product, Analytics, and business teams.
• A systems mindset, curiosity about emerging AI capabilities, and a practical focus on platform reliability, adoption, and business value.

Nice to have

• Hands-on familiarity with Databricks and modern lakehouse architecture or comparable platforms.
• Experience with Databricks Genie or comparable conversational analytics capabilities.
• Experience in media, publishing, advertising, subscriptions, or consumer data ecosystems.

Details

• Location: Chennai, TN.