
Posted 1 month ago
Project Manager (Partner's Payroll)
MumbaiOn-site
AI Summary
Project Manager focused on developing data products for the India market, leading large client projects, mentoring a small team, and driving automation initiatives.
About this role
Shape the Future with Dun & Bradstreet
At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. For over 180 years, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers.
Key Responsibilities:
Develop and conceptualize new data products tailored for the India market, with a strong focus on revenue potential, competitive benchmarking, and strategic data partnerships.
Lead large-scale client projects, ensuring effective project planning, execution, and end-to-end delivery management.
Manage and mentor a small team, driving team performance, tracking project milestones, and ensuring timely delivery of outputs.
Contribute to automation initiatives by leveraging technical expertise to eliminate manual data processing and improve efficiency.
Demonstrate strong hands-on expertise in Cloud platforms, Databricks, SQL, RDBMS, and programming languages such as PySpark and Python.
Key Requirements:
Preferred work experience of 1–3 years in roles such as Data Operations Lead, Product Lead, Data Engineering Lead, or Project Manager
Educational background in BE/BTech, MBA, or any relevant postgraduate qualification
Strong verbal and written communication skills in English, with the ability to collaborate effectively across multiple stakeholders
Prior experience in India market data operations within data startups, business information firms, credit rating agencies, or similar organizations
Skills
Cloud PlatformsDatabricksPySparkPythonRDBMSSQL
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