About this role
Condé Nast is one of the world's most renowned media publishing companies, creating and distributing every type of media today, spanning print and digital publishing in all formats. With a portfolio of some of today's most influential brands, the company continues to grow its audience through a global operational and content infrastructure across its 12 owned and operated markets. Headquartered in New York City, the company's owned and operated markets include China, France, Germany, India, Italy, Japan, Mexico & Latin America, Spain, Taiwan, UAE/Dubai, the U.K., and the U.S., with additional local license partners in over twenty additional markets across the globe. Lead brands include Vogue, The New Yorker, GQ, Architectural Digest, Condé Nast Traveler, Vanity Fair, Wired, Allure, Ars Technica, Bon Appétit, House & Garden, Pitchfork, Tatler, and Vogue Business.
Job Description
Location:
Chennai, TN
About The Role:
Condé Nast is seeking a Senior Product Manager, Trusted Data Products to help transform how data powers insights, innovation, and decision-making across our global portfolio of brands. As AI reshapes how businesses interact with data, we are evolving our data platform to make trusted information more accessible, actionable, and intelligent. This role will help build the foundations that allow teams to move beyond traditional reporting toward AI-powered analytics, conversational insights, and better business decisions.
You will own the evolution of key capabilities within our enterprise data platform, including curated data products, and AI-enabled analytics experiences such as conversational data exploration. Working with Data Engineering, Analytics, and business teams around the world, you will turn complex data into reliable, accessible products that help people answer questions, uncover opportunities, and act on insights.
This is a highly collaborative, technically focused product role that combines hands-on execution with forward-looking thinking. You will help shape how data is structured, connected, and delivered for both human and AI consumption, while keeping the platform reliable, scalable, and responsive to changing needs. Your work will directly influence how Condé Nast uses data and AI to understand audiences, evaluate performance, identify opportunities, and make more informed decisions.
What You'll Do
Enable BI and analytics platform evolution.
- Drive technical enhancements that support BI, insights enablement, and AI-powered data experiences, working with global stakeholders to align platform improvements with 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.
Build trusted, AI-ready data products
- Drive development of curated, business-ready Gold-layer data products that help teams move from fragmented reporting toward consistent, AI-powered insights and decision-making.
- 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.
Develop Conversational Analytics and AI capabilities.
- 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 that make insights more accessible and actionable.
What You Bring
- 6+ years of product management experience, including significant work on data platforms, analytics infrastructure, or technical data products.
- Hands-on familiarity with Databricks and modern lakehouse architecture or comparable platforms is highly desirable; experience with Databricks Genie or comparable conversational analytics capabilities is highly desirable.
- 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.
- Experience in media, publishing, advertising, subscriptions, or consumer data ecosystems is a plus.
What happens next?
If you are interested in this opportunity, please apply below, and we will review your application as soon as possible. You can update your resume or upload a cover letter at any time by accessing your candidate profile.
Condé Nast is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, age, familial status and other legally protected characteristics.