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 value.
• Create control plans, dashboards, standard operating procedures, process documentation, governance routines, and performance metrics to sustain improvements.
• Coach / Mentor Green Belts, Yellow Belts, finance project teams, and business stakeholders on Lean Six Sigma tools, data-driven problem solving, and continuous improvement practices.
• Design and conduct finance-focused training programs, workshops, and awareness sessions to build process excellence capability across Finance.

Required Skills and Capabilities

• Strong expertise in Lean Six Sigma principles, DMAIC methodology, and continuous improvement frameworks, preferably in Finance or shared services environments.
• Demonstrated ability to create current-state and future-state process maps and value stream maps for finance processes.
• Excellent analytical mindset with the ability to identify root causes behind process delays, data-quality issues, control gaps, and reporting inaccuracies.
• Advanced knowledge of statistical tools and problem-solving techniques used in process improvement and financial data analysis.
• Ability to interpret finance data, validate assumptions, test hypotheses, analyze variances, and convert insights into practical improvement actions.
• Strong understanding of finance operations, controls, reconciliations, reporting cycles, forecasting processes, and key performance metrics.
• Strong facilitation, stakeholder management, communication, and influencing skills, with the ability to work across Finance, IT, operations, and business teams.
• Ability to manage multiple improvement projects with clear milestones, benefits tracking, risk management, and governance.
• Strong training and coaching capability, with experience simplifying Lean Six Sigma and statistical concepts for finance audiences.
• High attention to detail, structured thinking, data discipline, and a strong bias for measurable outcomes.

Qualifications and Experience

• Lean Six Sigma Black Belt certification is required; Master Black Belt certification is preferred.
• Bachelor’s degree in Finance, Accounting, Business, Operations, Engineering, Statistics, Data Analytics, or a related field; advanced degree or professional finance qualification is preferred.
• Proven experience leading process improvement, operational excellence, finance transformation, shared services, controllership, FP&A, reporting, or data-quality improvement projects.
• Experience working with cross-functional teams and senior Finance stakeholders in a matrixed organization.
• Hands‑on experience with statistical analysis tools, ERP systems, finance reporting platforms, business intelligence tools, or data visualization platforms is preferred.

Success Measures

• Delivery of measurable finance process improvement benefits, including cost reduction, productivity gains, cycle‑time reduction, improved forecast or reporting accuracy, stronger controls, or reduced manual effort.
• Successful completion of prioritized Finance Lean Six Sigma projects within agreed scope, timeline, and benefit targets.
• Improved finance process visibility through documented process maps, value stream maps, control plans, dashboards, and performance metrics.
• Reduction in defects, rework, reconciliation breaks, reporting errors, process variation, or manual interventions across targeted finance processes.
• Increased Finance capability through effective training, coaching, and mentoring of improvement practitioners and process owners.
• Sustained improvements demonstrated through governance routines, control plans, post-implementation tracking, and adoption by Finance teams.

Accessibility

HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. Note: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.

What We Can Offer You:

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. 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. Let's Stay Connected: Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

Job:

Finance Job Level: Master

Salary

The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.

• United States of America: Annual Salary USD 123,500 - 285,000 in Texas

The listed salary range reflects base salary. Variable incentives may also be offered.

Information about employee benefits offered in the US can be found at

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together.

Equal Opportunity Employer (EEO)

Hewlett Packard Enterprise provides equal employment opportunity to any employee or applicant without regard to sex, gender, color, race, ethnicity, religion, creed, national origin, ancestry, citizenship, age, marital status, sexual orientation, gender identity and expression, physical or mental disability, medical condition, pregnancy, protected veteran status, uniformed service status, familial status, genetic information, political affiliation, or any other characteristic protected by federal, state, or local law. If you’d like more information about your EEO right as an applicant under the law, Know Your Rights.

Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law - Supplement E-Verify (US & PR only) HPE is an E-Verify employer. E-Verify is an Internet-based system that compares information from an employee's Form I-9, Employment Eligibility Verification, to data from U.S. Department of Homeland Security and Social Security Administration records to confirm the employment eligibility of all newly hired employees. For more information.

Hewlett Packard Enterprise is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. Note: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.

Disclosure of Sensitive Personal Data Please ensure the resume you submit to us does not include any sensitive personal data. Sensitive personal data includes data revealing information about your racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, health, sex life or sexual orientation. To the extent the resume you submit does contain this type of personal data, you consent to the storing and processing of this data by HPE for the purpose of reviewing and managing your application.