Bat Around™, a data-driven insurance platform, is hiring a Cost Effectiveness Engineer to lead efforts ensuring cloud and tooling spend is lean, optimized, and clearly understood. You will redesign cost-effectiveness structures using AI-driven strategies, combining technical expertise, financial insight, and cross-functional collaboration.
What You'll Do
- Track and analyze spend across AWS, Azure, GCP, Snowflake, FiveTran, DBT, Datadog, Splunk, Grafana, and other SaaS platforms.
- Build dashboards in Power BI, Qlik, or similar tools to visualize spend and usage patterns.
- Apply AI/ML techniques for anomaly detection, forecasting, and automated insights.
- Integrate cost management data via APIs (AWS Cost Explorer, Datadog, Kubernetes cost APIs, etc.) for real-time monitoring.
- Compare actual spend vs. budgeted forecasts and escalate when thresholds are exceeded.
- Support root cause analysis using usage data and AI-driven insights.
- Design automated processes for forecast expansion or budget increase requests.
- Lead weekly cost usage reviews with engineering, DevOps, and product leads.
- Drive a proactive culture of cost awareness and accountability.
- Partner with teams to optimize data workflows and observability configurations without sacrificing performance.
- Define and enforce tagging and labeling strategies to ensure accurate cost attribution.
- Collaborate with DevOps to enforce compliance and traceability.
- Influence vendor negotiations, license optimization, and procurement cycles with AI-informed forecasting.
- Manage incidents related to data ingestion, analytics anomalies, and platform access.
- Coordinate real-time response efforts with Engineering, Product, DevOps, and Operations.
- Ensure uptime and health metrics align with SLAs across data pipelines and services.
What We're Looking For
- Strong knowledge of cloud platforms and cost models (AWS, GCP, Azure).
- Hands-on experience with dashboards and BI tools (Power BI, Qlik, Tableau, etc.).
- Developer-level comfort with scripting, APIs, and automation (Python preferred).
- Experience integrating and analyzing data from SaaS and observability tools.
- Proven ability to apply AI/ML techniques for forecasting, anomaly detection, and automation.
- Excellent communication and cross-functional collaboration skills.
Nice to Have
- FinOps or DevOps experience managing budgets, chargebacks, or tooling strategy.
- Familiarity with tagging governance, approval workflows, and cost attribution models.
- Exposure to platforms like AWS Cost Explorer, GCP Billing, CloudHealth, or Datadog Cost Management.
Technical Stack
- AWS, Azure, GCP, Snowflake, FiveTran, DBT, Datadog, Splunk, Grafana, Power BI, Qlik, Tableau, Python, APIs
Benefits & Compensation
- Remote-first work environment (US, Canada, UK, or Europe preferred).
- Flexible time off.
- Health and wellness coverage including high-quality medical and dental benefits.
- Global collaboration with most team interaction in mornings ET.
- Occasional travel opportunities for in-person connection.
- Competitive compensation.
Work Mode
This is a global, remote-first role open to candidates in the Americas and Europe.
Bat Around™ is an equal opportunity employer.
