Associate Director

Description:

Associate Director, Data Stewardship & Management in Entity management is a highly motivated individual with the ability to drive content projects through software development life-cycle, ensuring technical solutions are sound and aligned to data and product requirement and aligned with Data Management office strategy and goals. He / She are responsible for the day-to-day management of content projects, team through all stages of the process. The Associate Director, Data Management is a professional who can anticipate and resolve any problems, bottlenecks, or scheduling conflicts. The candidate is a sound communicator who can link content operations, technology, business units, leadership to ensure high levels of quality and timelines of projects' implementations.

What’s In It For You

• This position is an excellent playground to understand and implement your ideas around Industry dynamism using technology, Data Governance Framework, Data Science
• Learning about various market driving factors like Private Capital Markets, Small and Medium Enterprises, Credit Ratings, Financials, Credit Default Swaps, Broker Research Reports etc.
• Opportunity to venture into a mammoth world of S&P data and gain deep experience and expertise in the field of data exploration, data analytics and multi-faceted world of Automation
• Being a part of Group driven by principles and challenging roles provides multiple path for growth and pool of opportunities to learn and excel.
• Ample opportunities to grow in different groups as per your further interest and ability
• Data is sourced from approx. ~1k Sources/Vendors and hence it becomes imperative to collect, analyze and ingest data within communicated SLAs and with best of quality.
• Data ingested via different workflows has direct impact on downstream collection process and front-end information being utilized by Clients in decision making.
• Products like MI, CapitalIQ, Xpressfeed and BECRS are fed by data ingested by researchers and hence very critical to maintain the robustness in cross-referencing data in and across the platforms