About AlphaSense:

The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content.

The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P; 500. Founded in 2011, AlphaSense is headquartered in Recent York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada,



and Ireland. Come join us

About the Role

We are looking for an experienced Data Steward / Senior Data Steward – Quality Excellence to help drive data quality, governance, and operational excellence across our diverse content domains.

In this role, you will work horizontally across multiple content areas to establish consistent data quality standards, strengthen governance practices, identify systemic issues, and drive scalable improvements. You will partner closely with Content Operations, Product, Engineering, and Quality teams to ensure our datasets are accurate, complete, consistent, scalable, and fit for customer and AI use cases.

This is a highly cross-functional role for someone who enjoys solving complex data-quality problems, bringing structure to ambiguity, and turning insights into sustainable improvements.

What You'll Do
- Establish and maintain data quality standards, bus

📌 Data Steward (India)
🏢 AlphaSense
📍 India