Finance Operations Business Transformation Black Belt - ACES
At Amazon, we are always looking for what we can do better. Our Amazon Customer Excellence Systems (ACES) teams help drive that change. Finance ACES Black Belts apply Lean Six Sigma problem-solving skills to continuously improve Amazon processes, align them with customer requirements, and deliver positive impacts in controllership and cost savings. Black Belts apply a mix of quantitative and leadership skills to identify areas of improvement and prioritize resources. Black Belts drive the culture of self-inspection and continuous improvement where acting on fact and eliminating defects and waste is the norm. Black Belts contribute to the Finance Operations Production System by leading and mentoring projects, conducting training events, developing materials, and providing metrics on improvements and performance of the program. Black Belts have a documented track record of leading, building rapport, and mentoring process improvement teams consisting of members of all levels and functions, without formal reporting relationships. Finance ACES Black Belts demonstrate Amazon Leadership Principles. Responsibilities: Lead high impact Lean Six Sigma projects (DMAIC, DFSS, Kaizen, FMEA, etc.) Mentor Green Belts, Yellow Belts, and Kaizen leaders through their projects. Deliver Lean Six Sigma training (Green Belt, Kaizen, etc.) Support Finance Operations Production System (FOPS) with continued development of materials, techniques, and metrics. Manage a portfolio of improvement projects, including auditing of implemented projects to ensure that process improvements are sustained and benefits are realized. Represent Finance ACES in local and global meetings/conference calls and with network-wide projects. Basic qualifications Bachelor's Degree in Engineering, Statistics or Business (preferably in quantitative field OR equivalent combination of education and experience (eg 5 + years in a quantitative role - Engineering, Process Re-engineering, Quality Assurance) Lean Six Sigma Black Belt Certification, Certified Lean Sensei, Certified Quality Engineer, etc. 5+ years of finance experience or a related analytical field. Bachelor's Degree in Engineering, Statistics or Business (preferably in quantitative field OR equivalent combination of education and experience (eg 5 + years in a quantitative role - Engineering, Process Re-engineering, Quality Assurance) Lean Six Sigma Black Belt Certification, Certified Lean Sensei, Certified Quality Engineer, etc. Adaptable to various situation's and business processes to add value cross functionally. Self-starter capable to taking initiative and working with minimal direction. Proven ability to handle confidential information appropriately. Courageous and willing to stand up for their ideas within appropriate guidelines. Proficient in obtaining, organizing, and analyzing data to make fact-based decisions and drive root cause analysis. Proficient in lean six sigma tools, such statistics, SPC, hypothesis testing, regression, root cause analysis, etc. Strong process, manufacturing, or engineering background with an ability to understand work flow and throughput through the operation (Finance background preferred, but not required). Demonstrated strong collaborative problem-solving skills evidenced by results in past positions. Articulate and able to communicate with employees at all levels across the organization, from front-line associates to executives through white papers as well as verbal communication. Demonstrated Change Management experience including the ability to work with improvement team sponsors to address barriers to a team's success. Advanced degree (technical MS or MBA) Demonstrated Project Management experience, including managing a project portfolio, driving a timeline to completion, following-up, organizing multiple action plans within multiple functions. Proficiency with Microsoft Office products, including advanced functions such as importing & exporting data, pivot tables, and macros. Experience with Statistical packages (SAS, JMP or Minitab) Understanding of SQL queries Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.