Data Expert

Job Description Summary

S&P Global Market Intelligence seeks a Data Steward with technical mindset for Company & Security Foundational Data. Data Steward work within the Content Team and build technical solutions teams for various content domain aligned with the product vision. This means preparing for prioritization cycles, establishing and communicating expectations about the solution to all stakeholders, setting collection policies and priorities, being accountable for the quality of customer responsiveness, representing the solution as the subject matter expert, participating in pre and post sales efforts, collaborating with operations on integration programs and the error guarantee, and a host of other dataset related duties. The role is highly collaborative and is focused on bringing together stakeholders in the formation and successful execution of business strategies. The successful candidate will work within the context of a cross-functional team aligned between Steward Leads, Operations Managers, Technology, Product, Sales and its support functions, Marketing, and Agile development teams.

Key Roles & Responsibilities:

• Work closely with technology, content, product and business stakeholders to understand the requirements and deliver solutions.
• Develop tech solutions from scratch that will build synergy between product and content domains.
• Communicate complex technical concepts to non-technical stakeholders effectively.
• Contribute towards development of business logic to integrate and transform various data sets from multiple sources into internal data structures.
• Support major projects in the domain, working closely with product management, the business, and external clients to ensure alignment of direction
• Partner with product management and product support to seek from feedback clients to understand and improve product offering to clients
• Support integration programs to establish new workflows, in close coordination with the operation teams and product stakeholders, to ensure efficient and accurate data management for upcoming data project initiatives. This includes a deep understanding of the end-to-end data collection lifecycle, and the various tools, from sourcing to product.

Basic Requirements:

• Develop and maintain data models, algorithms, and scripts using Python, .Net and SQL.
• Hands-on experience with AWS services related to data storage, processing, and analytics.
• Knowledge of data governance, data quality, and data lifecycle management.
• Familiarity with AI and machine learning concepts and their practical applications
• Keen sense of urgency and focus on client delivery and satisfaction
• Ability to work collaboratively across departments
• 3+ years of work experience including data management in a financial market data intensive environment
• BS or MS degree in Business, Finance, Computer Science, Systems Science, or Information Technology

Preferred Requirements:

• Familiarity with company, security foundational data structures.
• Technical mindset with focus on building processes and automating them.
• Collaborate with cross-functional teams to design and implement AI initiatives and automated solutions.
• Work on AWS to build and deploy scalable data solutions and models.