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

Description Digital Finance Transformation - Data Scientist:
Senior Associate / Manager – - Private Equity Performance Improvement About Alvarez & Marsal

Alvarez & Marsal (A&M) is a global consulting firm with over 10,000 entrepreneurial, action and results-oriented professionals in over 40 countries. We take a hands‑on approach to solving our clients' problems and assisting them in reaching their potential. Our culture celebrates independent thinkers and doers who positively impact our clients and shape our industry. The collaborative environment and engaging work—guided by A&M's core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity—are why our people love working at A&M.

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.

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We recognize that our people are the driving force behind our success, which is why we prioritize an employee experience that fosters each person’s unique professional and personal development. Our robust performance development process promotes continuous learning, rewards your contributions, and fosters a culture of meritocracy. With top‑notch training and on‑the‑job learning opportunities, you can acquire new skills and advance your career.

We prioritize your well‑being, providing benefits and resources to support you on your personal journey. Our people consistently highlight the growth opportunities, our unique, entrepreneurial culture, and the fun we have together as their favorite aspects of working at A&M. The possibilities are endless for high‑performing and passionate professionals.

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…