Senior Automation Manager

S&P Global

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
New York, NY
Salary
$120,000–$140,000 / yr
Posted
1 day ago
Freshness
Confirmed live yesterday
Closes
Sep 14, 2027

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $186k
This role $130k
$107k most similar roles pay here $243k

This role pays less than 90% of similar roles. Most pay $157,325–$215,500 — the shaded band above. At the midpoint, this role pays about $130k versus about $186k for comparable roles.

Based on 240 similar postings.

Employer

About S&P Global

S&P Global delivers Essential Intelligence® that shapes decision making. We provide the world’s leading organizations with the right data, connected technologies and expertise they need to move ahead.

S&P Global currently has 49 open roles on FindRole.

Listed pay typically runs $140,000–$200,000 across 41 roles with salary data.

Most-posted roles

View all roles at S&P Global

At a glance

TL;DR · Senior Automation Manager

As a Senior Automation Manager, you will join the team to lead process improvement initiatives across the end-to-end index governance lifecycle. You will be responsible for identifying gaps and prototyping innovative solutions to improve operational efficiency and data quality for critical financial indices. Your daily work involves designing and implementing automated workflows, managing data ingestion pipelines, and maintaining methodology databases. To succeed in this role, you must possess hands-on experience with Python programming, SQL, and relational database management systems like PostgreSQL or MySQL. You will utilize advanced platforms including Databricks, Snowflake, Azure Data Factory, and Power Automate to build robust infrastructure. The role requires the ability to translate vague business problems into working code while navigating complex domain contexts such as index management, data governance, and regulatory compliance processes within the financial services sector.

What you'll do

  • Lead process improvement initiatives across the end-to-end index governance lifecycle to improve operational efficiency.
  • Partner with cross-functional stakeholders to identify gaps and prototype solutions using Databricks and Python.
  • Design and implement automated workflows and applications to streamline index operations and reduce manual effort.
  • Manage and optimize data ingestion pipelines and methodology databases to support strategic decision-making.
  • Maintain existing Power Automate flows while building new automation solutions for business continuity.
  • Translate vague business problems into working code by scoping, building, and shipping technical solutions independently.

What we're looking for

  • Bachelor's degree in Computer Science, Engineering, Finance, Mathematics, or a related field, or equivalent professional experience.
  • 3+ years of hands-on experience with Python programming and data analysis in a business environment including production code.
  • Experience with cloud-based data platforms such as Databricks, Snowflake, or Azure Data Factory for processing and pipeline management.
  • Proficiency in database technologies including SQL and relational systems like PostgreSQL, MySQL, or SQL Server.
  • Experience with automation and workflow tools such as Power Automate or Power Apps.
  • Ability to take a vague business problem and develop working code without a provided requirements document.
  • Experience in financial services, index management, data governance, or regulatory compliance (preferred).
  • Familiarity with version control systems like Git, GitHub, or Azure DevOps; knowledge of BI tools like Power BI or Tableau (preferred).

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