This role pays less than
74%
of similar roles. Most pay
$161,250–$235,750
— the shaded band above.
At the midpoint, this role pays about
$161k
versus about
$198k
for comparable roles.
Based on 240 similar postings.
Employer
About State Street
State Street Corporation is one of the world''s largest custodian banks and asset managers, providing investment servicing, investment management, and investment research to institutional investors. Industry: Financial Services & Asset Custody
State Street currently has
185 open roles
on FindRole.
Listed pay typically runs
$120,000–$202,500
across 180 roles with salary data.
Technology Cost Intelligence Engineering Lead, VP serves as an analytics engineering lead within the Global Technology Services Financial Operations Office. This leader owns data and analytics products that make technology cost transparent and actionable, specifically focusing on Technology Financial Management, Total Cost of Ownership, and Cloud FinOps. The role involves designing governed data models, semantic layers, and ingestion pipelines to transform infrastructure inventory and cloud billing exports into consistent business measures. Key responsibilities include managing the product roadmap, ensuring auditability, and defining security protocols for sensitive financial data. The ideal candidate possesses expertise in SQL, Python, APIs, DAX, Power Query, and Microsoft Fabric. They must navigate complex domains like multi-cloud spend optimization and TBM taxonomy while coordinating with finance partners to translate complex methodologies into technical logic across a variety of heterogeneous source systems.
Own the end-to-end cost intelligence data platforms for technology financial management and Cloud FinOps.
Design governed data models and semantic layers to transform raw infrastructure and billing data into consistent business measures.
Manage the ingestion, transformation, and normalization of data from various source systems.
Author and maintain calculation logic in languages like DAX while separating deterministic results from forecasts.
Define and enforce security and access models for sensitive financial data using row-level and role-based controls.
Maintain comprehensive documentation, lineage, versioning, and testing to ensure auditability and high standards of governance.
Manage the product roadmap, backlog, and support model to ensure production stability and continuous improvement.
Set architecture standards and manage vendor platforms, analysts, and developers to translate financial methodologies into technical logic.
What we're looking for
Experience owning a platform or product outright, setting development standards, and directing supporting analysts, developers, and vendor resources.
Proficiency in SQL, Python, APIs, and lakehouse and data warehouse engineering.
Strong data and semantic modeling skills across multiple source systems, with proficiency in DAX and transformation tooling like Power Query.
Experience delivering governed data and analytics solutions on an enterprise analytics engineering stack or Microsoft Fabric/Power Platform ecosystem.
Practical command of security and access control for analytics platforms, including row-level and role-based access for sensitive financial data.
Track record of lineage, documentation, controlled release, validation, and exception reporting that meets auditability requirements.
Experience with IT financial management, Cloud FinOps, and total cost of ownership data, including cloud provider billing formats.
Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related field (preferred); advanced degree or certifications (preferred).
Agile
Scrum
SAFe
API
Microservices
CRM
Generative AI
Business Process Reengineering
Requirement Traceability
Workflow Management
Data Transformation
Batch Processing
Cloud-native Architecture
Event-driven Integration