Senior Automation Manager

S&P Global•New York, NY

1d•$120,000 - $140,000•Onsite

About The Position

This role involves leading process improvement initiatives across the end-to-end index governance lifecycle, directly impacting operational efficiency and data quality for critical financial indices. The position requires partnering with cross-functional stakeholders to identify gaps and prototype innovative solutions using advanced data platforms such as Databricks and Python. The Senior Automation Manager will design and implement automated workflows and applications that streamline index operations, reducing manual effort and enhancing accuracy. This role includes taking ownership of existing Power Automate flows while building new automation solutions that support business continuity and operational excellence. Additionally, the role involves managing and optimizing data ingestion pipelines and methodology databases, ensuring robust data infrastructure that supports strategic decision-making. The Senior Automation Manager will also drive strategic projects as assigned by leadership, providing exposure to high-visibility initiatives and senior stakeholders across the organization.

Requirements

Bachelor's degree in Computer Science, Engineering, Finance, Mathematics, or related field, or equivalent professional experience
3+ years of hands-on experience with Python programming and data analysis in a business environment, including code you have taken to production
Direct experience with cloud-based data platforms such as Databricks, Snowflake, or Azure Data Factory for data processing and pipeline management
Proficiency in database technologies including SQL and relational database management systems such as PostgreSQL, MySQL, or SQL Server
Experience with automation and workflow tools such as Power Automate, Power Apps or similar business process automation platforms
Ability to take a vague business problem and return working code — you scope it, build it, and ship it without needing a requirements document handed to you

Nice To Haves

Direct hands-on Databricks experience, including application prototyping, data ingestion pipeline management, and database management
Experience in financial services, particularly with index management, data governance, or regulatory compliance processes
Familiarity with version control systems such as Git, GitHub, or Azure DevOps for collaborative development and code management
Knowledge of business intelligence and visualization tools such as Power BI, Tableau, or similar platforms for data reporting and analytics
Demonstrated experience leading process reengineering initiatives or automation projects that resulted in measurable efficiency improvements

Responsibilities

Lead process improvement initiatives across the end-to-end index governance lifecycle, directly impacting operational efficiency and data quality for critical financial indices
Partner with cross-functional stakeholders to identify gaps and prototype innovative solutions using advanced data platforms such as Databricks and Python
Design and implement automated workflows and applications that streamline index operations, reducing manual effort and enhancing accuracy
Take ownership of existing Power Automate flows while building new automation solutions that support business continuity and operational excellence
Manage and optimize data ingestion pipelines and methodology databases, ensuring robust data infrastructure that supports strategic decision-making
Drive strategic projects as assigned by leadership, providing exposure to high-visibility initiatives and senior stakeholders across the organization

Benefits

Health care coverage designed for the mind and body
Generous time off
Access to a wealth of resources to grow your career and learn valuable new skills
Competitive pay
Retirement planning
Continuing education program with a company-matched student loan contribution
Financial wellness programs
Perks for partners and little ones
Retail discounts
Referral incentive awards