Technology FinOps Lead / Manager

CDW•Virtual - Illinois, IL

7d•$114,000 - $158,000

About The Position

The Technology FinOps Lead establishes and leads an integrated financial management capability for CDW Technology, giving leaders clear, consistent, and actionable visibility into Technology spending, consumption, capacity, and value. The role brings together software vendor management and sourcing with financial management of contract labor, cloud and AI consumption, managed services, global delivery resources, capitalization, and Technology investments. The role improves the predictability and transparency of Technology costs while simplifying, standardizing, and improving the processes used to plan, track, allocate, forecast, and manage those costs. It partners with Technology leadership, Finance, Strategic Sourcing, engineering and infrastructure teams, and program leaders to clarify spending, its rationale and alignment with priorities, and opportunities to optimize cost and improve value. As a leader at CDW, this role will champion the company’s vision of becoming an AI-fluent organization by modeling curiosity, encouraging responsible AI adoption, and fostering continuous learning. The leader will guide others in building confidence with AI tools and practices and promote experimentation and shared learning; deep technical expertise is not required.

Requirements

Bachelor’s degree and 7 years of experience in management consulting, corporate finance, strategic finance, finance transformation, or technology financial management, including experience solving complex business and financial problems and 1 year of people management experience; OR 11 years of experience in those fields, including experience solving complex business and financial problems and 1 year of people management experience.
Strong understanding of budgeting, forecasting, financial planning, cost management, and management reporting.
Demonstrated experience using structured problem-solving and process-improvement methods to assess current-state processes, identify root causes, design future-state solutions, and implement sustainable improvements.
Experience developing and implementing operating models, processes, governance, controls, and reporting frameworks across complex organizations.
Ability to analyze complex financial and operational data and translate findings into clear recommendations and decisions for senior leaders.
Experience developing business cases, scenario analyses, cost-benefit analyses, and executive-level financial reporting.
Ability to connect financial information with operational drivers such as workforce capacity, technology consumption, vendor commitments, project activity, and business priorities.
Strong financial and analytical capabilities, including advanced proficiency with Excel and experience with financial reporting, data analysis, and visualization.
Demonstrated ability to bring structure to ambiguous problems, challenge existing processes, and drive cross-functional change from problem identification through implementation.
Ability to partner effectively across Technology, Finance, Strategic Sourcing/Procurement, vendors, and business leadership.
Strong executive communication and presentation skills, including the ability to simplify complex financial and operational issues into actionable insights.
As a leader, comfort exploring how AI can enhance strategy, decision-making, and team performance; deep technical expertise is not required.

Nice To Haves

Experience in management consulting, finance transformation, technology strategy, or Technology/IT finance.
Experience applying process mapping, root-cause analysis, Lean, continuous improvement, or similar structured improvement approaches.
Experience working with significant Technology cost categories such as software, contract labor, cloud, managed services, or consumption-based technology services.
Familiarity with FinOps, Technology Business Management (TBM), or IT financial management concepts.
Exposure to technology sourcing, vendor management, contract negotiations, or software portfolio management.
Experience with Technology capitalization, labor allocation, project financial management, or time-reporting processes.
Experience with financial, analytical, or reporting platforms such as Power BI, Workday, Apptio/TBM solutions, or cloud cost-management tools.
FinOps Foundation, finance, accounting, Lean/Six Sigma, or related professional certification.

Responsibilities

Assess current Technology financial processes and identify opportunities to simplify, standardize, automate, and strengthen controls.
Design and implement scalable processes for budgeting, forecasting, time reporting, software and vendor spend, contract labor, capitalization, cost allocation, cloud consumption, AI consumption, and management reporting.
Map current-state processes, identify gaps and failure points, and establish future-state workflows, ownership, decision rights, and controls.
Reduce reliance on manual reconciliations, disconnected spreadsheets, inconsistent definitions, and one-off reporting processes.
Establish common financial taxonomies and definitions so Technology and Finance have a consistent view of costs, commitments, forecasts, and variances.
Improve the flow and reconciliation of information between Technology operational processes and financial systems.
Develop repeatable monthly and quarterly operating rhythms for reviewing forecasts, spend, commitments, risks, and opportunities.
Identify opportunities to automate recurring reporting and financial processes using available data, analytics, and workflow capabilities.
Establish process documentation, metrics, and controls to improve data quality, timeliness, consistency, and accountability.
Lead cross-functional improvement initiatives involving Technology, Finance, Strategic Sourcing, vendors, and delivery teams.
Measure whether redesigned processes improve forecast predictability, reporting cycle time, data quality, financial visibility, cost control, and decision-making.
Champion CDW’s vision of becoming an AI-fluent organization by modeling curiosity, encouraging responsible AI adoption, and fostering continuous learning.
Guide others in building confidence and capability with AI tools and practices, while promoting openness to experimentation and shared learning.