Associate, Lean Manufacturing, Transformation

Company Overview

We are the better way to work in finance. As private equity's value creation partner, we sit at the heart of PE—where sponsors and CFOs meet. Through financial consulting rooted in data, technology, and AI, we help clients drive value—supporting the office of the CFO to drive end-to-end value creation. If you crave challenging work and are looking to grow, come solve complex issues alongside 1,400+ finance & technology experts in a supportive, collaborative environment.

Backed by premier private equity firms and headquartered in New York with 10 offices around the globe, we are a high-growth, entrepreneurial firm looking for people who want to be part of building something great. Come make your mark.

With the increase in complexity of the business environment and transactions, CFOs of private equity backed companies are increasingly being looked towards to drive strategic insights for their business. Finance organizations are no longer simply result reporters, but rather, they couple these results with forward looking data to provide strategic insights which are leveraged to make business decisions. Efficiency of process and meaningful control environments allows for speed of financial reporting with increasingly accurate measures, leaving more time for the finance team to add future enterprise value, rather than look backwards.

Accordion's Transformation Practice is comprised of a dedicated team providing strategic advice to support PE backed portfolio companies on a wide range of transactions and events, including profitability improvements, finance process optimization, liquidity enhancements and digital transformation transactions. We are doers and problem solvers – making sense of complexity and bolstering sponsors' value creation thesis’s. This role can be based in any of our US office locations and is a hybrid role with the flexibility to work remotely 2 days a week.

Ideal candidates should be local to the desired location. This position is not eligible for immigration sponsorship.

• Assess the current state of the client's manufacturing operations and identify improvement opportunities to reduce costs, increase throughput, and improve flow of the product through the facility. Employ lean methodologies to drive the identified improvements, including daily management, visual factory, 6S, and lean problem-solving tools. Train client's operations leadership on basic lean methodologies to ensure sustainability of improvements.
• Travel to client site as needed.

• A Bachelor's degree with a minimum of 3-5 years of experience in process improvement.
• Experience in implementation and use of The Toyota Production System (TPS).
• Experience with lean problem-solving tools such as Pareto Charts, Fish Bone, Root Cause Analysis, and PDCA.
• Proficiency with MS Office applications (Excel, Word, PowerPoint).
• Ability to conduct or facilitate lean events such as 6S, Kaizen, DMAIC project.
• Preferred (not required):
  Previous experience managing manufacturing operations.

• A self-starter with a strong work ethic
• A leader of others; you lead by example
• A strong team player, able to work with team members across all levels
• Able to effectively communicate complex issues and solutions, and raise issues to senior team members when necessary
• Comfortable managing projects with multiple complex work streams while also focused on your single workstream (you are managing and doing).
• Excited to be part of a growing team, with a focus on driving future growth
• Full of entrepreneurial spirit and comfortable in a fluid, flat organization
• Knowledgeable about the relationship between Private Equity sponsors and their portfolio companies
• Passionate about delivering exceptional client service
• Someone who enjoys mentoring others and doing meaningful work
• Willing to get your hands dirty in the details of a project while simultaneously seeing the whole picture

The annual salary for this role ranges from: $100,000 to $120,000 USD + benefits + bonus. Actual compensation packages are determined by evaluating a wide array of factors unique to each candidate, including but not limited to geographic…