About the Role:

Grade Level (for internal use):

The Role: Senior Director, Data Engineering

The Team: We are seeking an experienced technology expert to lead Data Engineering function within Data Services Organization. Data services team is responsible for Data & Analytics Architecture/Engineering associated with Data Collection & Ingestion, Ratings & Master Data Management, IDF Data Lake, Risk & Regulatory reporting, BI & Data Visualization, AI and Automation. 

This role focuses on development of enterprise data domain services, data collection & ingestion systems, data lake platform and BI systems. As a Member Data Services leadership team, you will be working with your peers in Data Services leadership team along with engineering leads across all Ratings values streams to ensure delivery of data and related capabilities in a timely manner with quality and resiliency. You will oversee data engineering teams organized across different ARTs by providing leadership to ART engineering leads and solution architects. To meet this objective, candidates should be influential engineering leaders with deep technology expertise, and a collaborative style that brings others into the decision-making process. You will devise clear roadmaps to deliver next generation data solutions that improve scalability, resiliency, availability of our applications across organizational boundaries.  You have exceptional collaboration and communication skills, are highly motivated, creative, and engaged.  

Responsibilities and Impact: 

• Be technically deep and provide input on architecture, design, and code. As a thought leader, you are well respected by engineers and non-engineers alike
• Learning and understanding all aspects of your product-line and the Ratings business
• Responsible for helping define the vision, driving team execution, and overseeing the engineering process. This will require strong leadership capabilities, as well as the ability to roll-up-your-sleeves to ensure alignment across technology, product, and business stakeholders.
• Drive strong partnerships between engineering teams and Product owners, including business stakeholders in the Ratings organization.
• Be responsible for driving technical design, architecture and implementation of new features and iterations of core products. 
• Partner with value stream engineering leaders to define the roadmaps, plan and report on technical programs that cut across the entire organization.
• Accelerate alignment to Domain Driven Design by guiding engineering teams to derive in-line transformation of our legacy data platforms
• Accelerate adaption of ELT and schema on read architectures to achieve speed to market for internal and external products
• Partner with the Ratings Data & Content organization, Core Services, and SRE organizations to ensure best use of standards for the key data use cases
• Design and implement strategies to monitor the effectiveness of data management and governance programs and identify, manage and mitigate current and emerging risks
• Drive innovation towards building highly scalable – real time data engineering pipelines to support deployment of AI/ML and Gen AI solutions

Compensation/Benefits Information (US Applicants Only): S&P Global states that the anticipated base salary range for this position is $167,900-$297,100. Final base salary for this role will be based on the individual’s geographic location, as well as experience level, skill set, training, licenses, and certifications. In addition to base compensation, this role is eligible for an annual incentive plan.  This role is eligible to receive additional S&P Global benefits. For more information on the benefits that we provide to our employees, please click here.

Basic Qualifications:

• BS or MS degree in Computer Science or Information Technology
• 8+ years of hands-on experience contributing to application architecture & designs, proven software/enterprise integration design patterns and full-stack knowledge including modern distributed front end and back-end technology stacks
• 5+ years Data Engineering experience leveraging modern Big Data technologies to deploy data lake house architecture in various cloud-based environments leveraging platforms like Databricks, Snowflake etc.
• Experience in implementing Business Intelligence, Advance data analytical solutions providing insig