Finance Transformation Process Engineer

Finance Transformation Process Engineer

This role has been designed as ''Onsite' with an expectation that you will primarily work from an HPE office.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work.

We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world.

Our culture thrives on finding new and better ways to accelerate what's next.

We know varied backgrounds are valued and succeed here.

We have the flexibility to manage our work and personal needs.

We make bold moves, together, and are a force for good.

If you are looking to stretch and grow your career our culture will embrace you.

Open up opportunities with HPE.

Job Description:

The Lean Six Sigma Black Belt - Finance Transformation will lead high-impact process improvement initiatives across the Finance function, using structured problem-solving, data analysis, and Lean Six Sigma methodologies to improve the efficiency, accuracy, control, and scalability of finance processes.

This role will focus on areas such as financial planning and analysis, record-to-report, order-to-cash, procure-to-pay, management reporting, forecasting, reconciliation, controls, and finance data quality.

The role requires strong capability in process mapping, value stream mapping, root cause identification, statistical analysis, and training delivery to build a culture of continuous improvement within Finance.

Key Responsibilities


* Lead end-to-end Lean Six Sigma and process excellence projects across Finance using DMAIC and other structured improvement methodologies.


* Facilitate process mapping and value stream mapping sessions for finance processes to identify bottlenecks, manual work, rework, control gaps, handoff issues, duplicate activities, and non-value-added steps.


* Analyze finance process performance data to identify trends, variation, defects, reconciliation issues, cycle-time delays, reporting inaccuracies, and improvement opportunities.


* Conduct root cause analysis using tools such as Fishbone Diagram, 5 Whys, Pareto Analysis, FMEA, hypothesis testing, regression analysis, and variance analysis.


* Apply statistical tools and techniques, including control charts, capability analysis, correlation, regression, ANOVA, design of experiments, measurement system analysis, and statistical process control, to solve finance process and data-quality problems.


* Partner with Finance leaders, controllership, operations, IT, data teams, and business stakeholders to define project charters, scope, goals, benefits, timelines, risks, and success measures.


* Develop and implement sustainable finance process improvements that improve accuracy, reduce cycle time, strengthen controls, eliminate manual effort, reduce cost, and deliver measurable business v...