Digital Finance Transformation – ERP Modernization: Senior Associate – Private Equity Performan

Description Digital Finance Transformation - Data Scientist:
Senior Associate / Manager – - Private Equity Performance Improvement The Team

A&M’s Private Equity Performance Improvement Services (PEPI) practice works with private equity held portfolio companies and provides our clients with solutions to preserve and generate value for their businesses. Our goal is to improve transparency to key drivers and business performance, to support increasing cash and EBITDA, and to provide benefits through hands‑on involvement in our clients’ operations. Our job is to support PE firms to ensure their portfolio companies have credible plans and the ability to execute and deliver financial outcomes.

• Strategic Finance and Liquidity Management
• Accounting Advisory and Financial Reporting Solutions
• Working Capital Optimization
• Digital Finance Transformation
• Interim Management

We are seeking an Associate or Senior Associate to join our Digital Finance Transformation team within PEPI. This role focuses on helping private equity portfolio companies accelerate digital enablement within the finance function—modernizing data environments, automating processes, and building analytics‑driven tools that create measurable business impact.

The ideal candidate blends strong technical expertise in Python, SQL, and modern data platforms with a solid understanding of finance and accounting operations. You will work directly with CFOs, Controllers, and FP&A leaders to design, implement, and operationalize digital solutions that improve performance, transparency, and scalability.

• 4-8 plus years of professional experience; consulting or professional services experience preferred.
• Advanced Python programming experience, including familiarity with machine learning libraries (e.g., scikit-learn, Tensor Flow, PyTorch).
• Strong SQL skills and experience with modern data platforms (Snowflake, Databricks, Azure Synapse, Microsoft Fabric).
• Experience with ETL/orchestration tools (Dagster, Temporal, Azure Data Factory, AWS Glue, Fivetran, Matillion).
• Demonstrated ability to develop lightweight finance applications using Streamlit or Retool.
• Solid understanding of finance and accounting concepts, including forecasting, working capital management, and three‑statement modeling.
• Exceptional communication and collaboration skills; proven ability to translate between finance and technology teams.

The salary range is $100,000–$170,000 annually, dependent on several variables including but not limited to education, experience, skills, and geography. In addition, A&M offers a discretionary bonus program which is based on a number of factors, including individual and firm performance.

Regular employees working 30 or more hours per week are also entitled to participate in Alvarez & Marsal Holdings’ fringe benefits consisting of healthcare plans, flexible spending and savings accounts, life, AD&D, and disability coverages at rates determined periodically as well as a 401(k) retirement savings plan. Provided the eligibility requirements are met, employees will also receive an annual discretionary contribution to their 401(k) retirement savings plan from Alvarez & Marsal.

Additionally, employees are eligible for paid time off including vacation, personal days, seventy‑two (72) hours of sick time (prorated for part time employees), ten federal holidays, one floating holiday, and parental leave. The amount of vacation and personal days available varies based on tenure and role type.  for more information regarding A&M’s benefits programs.

It is Alvarez & Marsal’s practice to provide and promote equal opportunity in employment, compensation, and other terms and conditions of employment without discrimination because of race, color, creed, religion, national origin, ancestry, citizenship status, sex or gender, gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, family medical history, genetic information or other protected medical condition, political affiliation, or any other characteristic protected by and in accordance with applicable laws.