Overview
At IBM Cloudability, we deliver a best-in-class FinOps platform that helps customers enable their IT, finance, and DevOps teams to work together to optimize cloud resources for speed, cost, and quality. Your Role And Responsibilities
The Senior Data Strategist at Cloudability owns the vision, architecture, and quality of Cloudability's multi-cloud cost and utilization data. You'll define how we ingest, normalize, transform, and model billing data from AWS, Azure, GCP, and emerging sources (Kubernetes, FOCUS, on-prem, third party SaaS/PaaS). This role combines hands-on technical work—writing SQL, debugging data pipelines, validating schemas—with strategic thinking about data architecture that enables FinOps insights, AI-driven analytics, and customer reporting. You\'ll partner closely with data engineering, product managers, and data science to ensure our data foundation is consistent, high-quality, and scalable. Education
Bachelor\'s Degree Required Technical And Professional Expertise
Must Have 4-6+ years in data-focused roles (analytics engineering, data engineering, data architecture, or technical product management) Direct hands-on work with cloud billing data from AWS, Azure or GCP Experience building or maintaining data models used by downstream analytics or reporting systems Track record solving complex data quality or normalization challenges Technical Skills
SQL expertise — Strong ability to write complex queries, investigate data quality issues, and understand query performance Data modeling — Deep understanding of dimensional modeling, normalization techniques, and schema design for analytics Data warehouse knowledge — Working experience with modern data platforms (Snowflake, BigQuery, or Databricks) Strategic & Business Skills
Strategic thinking — Ability to define multi-year vision for data architecture and anticipate future needs Problem decomposition — Break down ambiguous problems into structured, actionable technical requirements Business acumen — Understand how data decisions impact customer value and business outcomes; prioritize based on impact Requirements translation — Convert business needs into clear data model specifications Collaboration Skills
Cross-functional partnership — Work effectively with engineering, product, and data science teams Clear communication — Explain complex data concepts to non-technical stakeholders; write clear documentation Influence without authority — Drive technical decisions and alignment across teams Comfort with ambiguity — Thrive in situations where ownership boundaries aren\'t perfectly clear. Preferred Technical And Professional Experience
Strong Preference For Experience in FinOps, cloud cost management, or observability platforms Multi-cloud environment experience—practical understanding of challenges unifying AWS/Azure/GCP data Exposure to data quality monitoring, schema evolution, or data testing frameworks Nice to Have
Familiarity with FOCUS (FinOps Cost and Usage Specification) schema Experience with AI/ML data pipelines Background in FinOps practices or FinOps Foundation certification Understanding of cloud APIs and billing APIs (AWS Cost Explorer API, Azure Consumption API, GCP Cloud Billing API) Knowledge of CSP government cloud billing structures
#J-18808-Ljbffr
At IBM Cloudability, we deliver a best-in-class FinOps platform that helps customers enable their IT, finance, and DevOps teams to work together to optimize cloud resources for speed, cost, and quality. Your Role And Responsibilities
The Senior Data Strategist at Cloudability owns the vision, architecture, and quality of Cloudability's multi-cloud cost and utilization data. You'll define how we ingest, normalize, transform, and model billing data from AWS, Azure, GCP, and emerging sources (Kubernetes, FOCUS, on-prem, third party SaaS/PaaS). This role combines hands-on technical work—writing SQL, debugging data pipelines, validating schemas—with strategic thinking about data architecture that enables FinOps insights, AI-driven analytics, and customer reporting. You\'ll partner closely with data engineering, product managers, and data science to ensure our data foundation is consistent, high-quality, and scalable. Education
Bachelor\'s Degree Required Technical And Professional Expertise
Must Have 4-6+ years in data-focused roles (analytics engineering, data engineering, data architecture, or technical product management) Direct hands-on work with cloud billing data from AWS, Azure or GCP Experience building or maintaining data models used by downstream analytics or reporting systems Track record solving complex data quality or normalization challenges Technical Skills
SQL expertise — Strong ability to write complex queries, investigate data quality issues, and understand query performance Data modeling — Deep understanding of dimensional modeling, normalization techniques, and schema design for analytics Data warehouse knowledge — Working experience with modern data platforms (Snowflake, BigQuery, or Databricks) Strategic & Business Skills
Strategic thinking — Ability to define multi-year vision for data architecture and anticipate future needs Problem decomposition — Break down ambiguous problems into structured, actionable technical requirements Business acumen — Understand how data decisions impact customer value and business outcomes; prioritize based on impact Requirements translation — Convert business needs into clear data model specifications Collaboration Skills
Cross-functional partnership — Work effectively with engineering, product, and data science teams Clear communication — Explain complex data concepts to non-technical stakeholders; write clear documentation Influence without authority — Drive technical decisions and alignment across teams Comfort with ambiguity — Thrive in situations where ownership boundaries aren\'t perfectly clear. Preferred Technical And Professional Experience
Strong Preference For Experience in FinOps, cloud cost management, or observability platforms Multi-cloud environment experience—practical understanding of challenges unifying AWS/Azure/GCP data Exposure to data quality monitoring, schema evolution, or data testing frameworks Nice to Have
Familiarity with FOCUS (FinOps Cost and Usage Specification) schema Experience with AI/ML data pipelines Background in FinOps practices or FinOps Foundation certification Understanding of cloud APIs and billing APIs (AWS Cost Explorer API, Azure Consumption API, GCP Cloud Billing API) Knowledge of CSP government cloud billing structures
#J-18808-Ljbffr