Managed Services Operations Lead - FinOps

The Managed Services Operations Lead, FinOps is the senior technical authority for AHEAD's Cloud FinOps service, serving as thought leader and subject matter expert for clients, partners, and internal delivery teams. The role leads the development, design, and implementation of FinOps solutions across AWS, Azure, and GCP, and is accountable for the technical quality, consistency, and maturity of FinOps delivery across the managed services client portfolio.

Operating as a principal-level practitioner, this role owns the most complex client scenarios, serves as the primary technical escalation point for Cloud FinOps Engineers, and sets the standards, data models, automation, and reusable assets that the practice delivers against. The role also defines and drives the AI and automation roadmap for the FinOps practice, translating advanced analytics and machine learning capabilities into productized, explainable, and trusted service offerings. This is an individual contributor role that provides technical leadership, mentorship, and coordination across delivery resources without direct personnel-management responsibility.

The role requires a strategic mindset, mature executive communication skills, and commercial awareness, engaging client senior leadership, finance and procurement stakeholders, service and process owners, AHEAD service leadership, and sales teams directly. The role is performed remotely within the United States and includes up to 15 percent domestic travel, along with occasional after-hours or weekend support during major incidents, reporting deadlines, approved change windows, or other activities required by contracted service commitments.

Technical Leadership and Solution Design

* Serve as the primary technical escalation point for Cloud FinOps Engineers supporting client engagements, resolving the most complex technical and financial analysis scenarios.
* Act as principal engineer for high-complexity client situations requiring advanced cloud engineering, financial modeling, and cross-domain judgment.
* Lead the development, design, and implementation of complex, mission-critical, enterprise-grade FinOps solutions, including AI-enabled capabilities where they deliver measurable client value.
* Ensure FinOps services and deliverables are provided on time and at the highest quality standards while meeting or exceeding client expectations and contracted service commitments.
* Develop and maintain technical roadmaps and innovation plans for supported FinOps solutions and services.
* Establish project estimates and plans, identify risks and mitigations, and oversee the development and delivery of technical FinOps solutions.
* Provide technical leadership and coordinate technical delivery resources across skillsets, including cross-practice work and deliverables, without direct personnel-management responsibility.
* Provide credible time and effort estimates based on available information, and initiate and author project change requests when additional work is identified beyond agreed scope.

Cloud Cost Analysis and Optimization

* Lead deep-dive investigations into cloud spend drivers, billing anomalies, optimization opportunities, and cost visibility gaps across AWS, Azure, and GCP using native tooling and approved third-party FinOps platforms.
* Define the methodology by which the practice identifies, quantifies, prioritizes, and drives optimization opportunities including rightsizing, idle resource cleanup, storage and data transfer optimization, licensing alignment, and scheduling strategies.
* Own the framework for tracking optimization opportunities through identified, recommended, approved, implemented, and realized states, ensuring financial outcomes are validated and unrealized savings are not double-counted or misattributed.
* Set the approach for cost visibility and allocation in containerized and Kubernetes workloads, including shared cluster cost distribution, namespace and label-based allocation, and idle capacity analysis.
* Lead analysis and optimization of AI and GPU-related spend, including accelerated compute utilization, model training and inference costs, and consumption of managed AI and machine learning services.
* Extend cost analysis and governance to SaaS, software licensing, and marketplace spend where these fall within the agreed scope of the engagement.
* Define and oversee best-practices reviews that combine cost analysis with operational excellence analysis, using cloud-native and approved AHEAD tooling.

Allocation, Unit Economics, and Reporting Architecture

* Lead the design and implementation of scalable approaches for cost allocation, tagging strategy, showback, chargeback, budgeting, forecasting, and optimization across Azure, AWS, and GCP.
* Define unit economics and cost-per-unit metric frameworks that tie cloud spend to business drivers such as customers, transactions, environments, products, or workloads.
* Own the architecture of dashboards, reports, budgets, forecasts, executive summaries, and recurring service review content, and set quality standards for what the practice produces.
* Define data validation and reconciliation standards across billing exports, connectors, cost datasets, and reporting models to improve trust in reported values, including adoption of standardized billing data formats such as FOCUS.
* Establish continuous tagging governance through cloud-native policy enforcement, policy-as-code, and automated remediation, refining coverage as untagged or non-compliant resources are identified.
* Set standards for client-facing FinOps tooling and portals, ensuring predictive analytics, multi-account views, and resource, configuration, and environment change reporting remain current and accurate.

Commitment and Rate Strategy

* Own the commitment strategy across the client portfolio, including reserved capacity and savings plan modeling, purchase governance, coverage and utilization targets, expiration and renewal planning, and savings realization tracking.
* Lead support of enterprise agreement, private pricing, and committed-spend discussions by providing consumption analysis, commitment scenarios, and drawdown forecasts to client and AHEAD stakeholders.
* Approve or review commitment recommendations produced by the team before they are presented to clients, ensuring financial assumptions and risk exposure are sound.

Client Advisory, Growth, and Communication

* Build and maintain strong client relationships, drive business growth, and identify opportunities for upselling and cross-selling FinOps and adjacent AHEAD services.
* Collaborate with clients to understand their technical, operational, and financial challenges and develop tailored FinOps solutions to address their needs.
* Create and present solution designs, options, ideas, and innovations to clients' senior leadership teams, and help client leadership set strategic direction beyond individual tactics.
* Advise clients on FinOps best practices, governance models, operating models, and maturity improvements, including organizational adoption approaches such as crawl-walk-run.
* Develop high-quality deliverables and presentations for client engineering teams, finance and procurement stakeholders, and senior leaders, including both technical and non-technical documentation.
* Lead recurring client advisory and service review discussions covering cost and billing changes, optimization progress, roadmap items, migration candidates, and feedback on AHEAD's service delivery performance.
* Partner with CloudOps, DevOps, platform, application, finance, procurement, and client stakeholders to support implementation of recommendations and validate realized outcomes.
* Maintain timely ticket updates, work documentation, meeting follow-ups, and internal and customer communications in accordance with service delivery expectations.
* Support pre-sales, solutioning, scoping, positioning, and service maturation efforts by providing subject matter expertise, effort input, and delivery perspective, and identify and escalate new client opportunities.

AI, Automation, and Practice Engineering

* Define and drive the AI and automation roadmap for the FinOps practice, including use cases such as anomaly detection, rightsizing recommendations, commitment optimization, and intelligent budgeting and forecasting.
* Evaluate and productize capabilities from FinOps platforms and cloud-native machine learning services into standard AHEAD offerings, including build-versus-buy recommendations and platform selection guidance.
* Define the data quality, tagging, and metadata standards required for reliable AI-driven insights and automation of FinOps workflows.
* Establish processes for monitoring and tuning models used for forecasting, anomaly detection, and optimization, ensuring transparency, explainability, and stakeholder trust in the outputs.
* Collaborate with AHEAD's AI, machine learning, and platform engineering teams to co-innovate joint FinOps solutions and reference architectures.
* Build and oversee queries, data transformations, and automation using SQL and scripting languages such as Python, PowerShell, or Bash, including event-driven and API-based integrations across FinOps platforms, ITSM tools, and cloud-native services.
* Direct the integration of third-party tools, billing data sources, and reporting platforms into approved FinOps tooling and governance structures, including onboarding of new clients, accounts, subscriptions, and projects.
* Oversee execution of approved remediation activities, including workload resizing, workload deletion, and commitment implementation, ensuring client change-control procedures and permission models are followed.

Mentorship and Practice Development

* Provide mentorship, coaching, and professional development opportunities to Cloud FinOps Engineers and other team members, empowering them to grow and excel in their roles.
* Review team deliverables and analyses for technical accuracy, financial soundness, and presentation quality, elevating team capability and consistency.
* Develop and maintain standards, procedures, data models, playbooks, work instructions, automation, and reusable assets that improve the maturity, consistency, and scalability of the FinOps practice.
* Build team fluency in AI-assisted and automated workflows so engineers and analysts apply these tools effectively and with appropriate judgment in daily delivery.
* Actively lead collaboration within AHEAD's technical communities and influence team members, the broader internal organization, and external customers to adopt new concepts, best practices, and approaches.
* Partner with Delivery Managers and service leadership to identify delivery risks, technical gaps, resourcing needs, and improvement opportunities across the FinOps practice.
* Monitor delivery hours against contracted monthly allocations across the portfolio, flagging utilization trends and coordinating any approved overage or rescoping through the change-request process.
* Serve as a reliable resource for thought leadership content, workshops, industry conferences, and webinars representing the practice.
* Deliver FinOps and tooling education and training for client teams to build internal cost-management capability, in addition to mentoring within the AHEAD practice.