ITFM Services Associate Director

DTCC • Coppell, TX

19d • $95,000 - $180,000 • Hybrid

About The Position

The FinOps Practitioner – Data Cloud FinOps is responsible for optimizing, governing, and managing the financial performance of cloud-based data platforms and services. The role combines cloud financial management, data engineering knowledge, financial analysis, and operational governance to ensure data infrastructure delivers business value at optimized cost.

The practitioner works with Finance, Cloud Engineering, Data Engineering, Enterprise Architecture, Procurement, and business stakeholders to establish cost transparency, allocate spending to business units and data products, optimize consumption, and embed FinOps principles throughout the data platform lifecycle. The role covers cloud data services such as data warehouses, data lakes, lakehouses, data integration pipelines, streaming platforms, analytics environments, and AI/ML workloads across Snowflake, AWS, Microsoft Azure, Google Cloud, Databricks, and other cloud data ecosystems.

DTCC describes a flexible hybrid work model of three days onsite and two days remote; onsite days are Tuesdays, Wednesdays, and a third day determined by the team or employee. The position is part of DTCC’s Finance organization.

Requirements

• Minimum of 8 years of related experience.
• 5–8 years of experience in data cloud cost management, data cloud operations, or data cloud engineering; ideally in financial services or a regulated industry.
• Deep working knowledge of Snowflake billing, pricing models, and optimization levers.
• Experience managing multi-cloud cost reporting and governance frameworks.
• Strong understanding of FinOps principles, budgeting, forecasting, and cloud cost transparency practices.
• Advanced Excel and data visualization skills, such as Power BI, Tableau, or QuickSight.
• Excellent communication and collaborator-management skills with technical and finance audiences.
• Strategic and analytical problem-solving skills and attention to detail.
• Strong financial literacy and business insight.
• Ability to influence across engineering and finance teams.
• Proactive attitude toward continuous improvement and innovation.
• Strong leadership and collaborator communication.
• Bachelor’s degree preferred or equivalent experience.

Nice To Haves

• FinOps Certified Practitioner or FinOps Certified Professional credential.
• Familiarity with ITIL and Cloud Governance.
• Experience with data platforms and Snowflake usage optimization.
• Proficiency in scripting or SQL for custom cost analytics and automation.
• Experience with Snowflake, Databricks, BigQuery, Redshift, Microsoft Fabric, Synapse, or similar data platforms.

Responsibilities

• Monitor and analyze cloud data platform spending across services, environments, business units, projects, and data products.
• Develop dashboards and reports to track expenditure, consumption trends, unit costs, and budget utilization.
• Build cost-allocation and chargeback/showback models for data platforms and shared data services.
• Identify cost anomalies, unexpected consumption spikes, and spending trends, and coordinate corrective actions.
• Reconcile cloud provider invoices and platform usage reports with internal financial records.
• Analyze consumption across data warehouses, lakehouses, ETL/ELT pipelines, streaming workloads, and analytical queries.
• Identify optimization opportunities in compute sizing, cluster utilization, workload scheduling, autoscaling, and resource concurrency.
• Collaborate with data engineering teams to optimize query performance and workload design to reduce processing costs.
• Evaluate workload placement and platform choices for performance, reliability, scalability, and total cost of ownership.
• Assess the financial impact of architectural decisions, including real-time versus batch processing and cloud-native versus managed data services.
• Develop and maintain budgets and forecasts for cloud data platforms and related services.
• Analyze actual spending against budgets, forecasts, business demand, and historical consumption.
• Build predictive cost models based on data growth, workload volumes, user adoption, and business initiatives.
• Support financial planning for new data products, platform migrations, analytics initiatives, and AI workloads.
• Prepare financial variance analysis and communicate cost drivers, risks, and corrective actions to leadership.
• Implement FinOps policies, controls, standards, and operating procedures for data cloud services.
• Establish ownership for data platform costs across engineering teams, product owners, and business stakeholders.
• Establish governance for budget thresholds, anomaly alerts, cost-optimization actions, and escalation procedures.
• Develop standardized KPIs and maturity assessments to measure data cloud FinOps effectiveness.
• Define and monitor unit-cost metrics relevant to data services.
• Automate cost reporting, anomaly detection, budget monitoring, and optimization recommendations.
• Partner with platform engineering teams to introduce cost controls and guardrails into CI/CD and infrastructure-as-code pipelines.

Benefits

• Competitive compensation, including base pay and annual incentive.
• Comprehensive health and life insurance and well-being benefits, based on location.
• Pension / Retirement benefits.
• Paid Time Off and Personal/Family Care, and other leaves of absence when needed to support physical, financial, and emotional well-being.
• Flexible/hybrid work model of three days onsite and two days remote.

What This Job Offers

• Job Type: Full-time
• Career Level: Director