Senior Lead Analysts - Data Management and Modeling
Core
Design and build scalable data foundations, modern pipelines, and governed semantic models to enable AI-ready analytics and self-service reporting for the Finance organization.
Role type
Senior Lead Data Engineer / Data Architect (Finance Domain)
Builds
Scalable ELT/ETL pipelines, enterprise data models, semantic layers, and AI-enabled analytics platforms.
Domain
Finance (FP&A, Revenue, Expense) + Cloud Data Engineering
Deliverable
production ML models | product features
Required skills
Microsoft Fabric, Snowflake, dbt, SQL, Python, Dimensional Modeling, Data Warehousing, Data Governance, Stakeholder Management, AI/LLM Integration
Preferred skills
Generative AI frameworks, Azure AI Services, CI/CD, Infrastructure as Code, Databricks, Finance domain expertise, Data Quality Frameworks
Technologies
Microsoft Fabric, Power BI, Snowflake, dbt, Python, Spark, Azure, LLMs (via careerplan.io/jobs/JREQ203595-senior-lead-analysts-data-management-and-modeling-at-thomsonreuters)
Responsibilities
Design scalable data pipelines and transformation workflows; Develop enterprise data models for FP&A and Financial Reporting; Build semantic models with consistent business definitions; Integrate LLM capabilities into Finance reporting; Lead migration of legacy reporting to cloud platforms; Mentor junior team members and promote engineering best practices.
Seniority
Senior, hands-on IC with leadership responsibilities
