Senior Associate: Digital Finance Transformation

Alvarez & Marsal; Philadelphia (Philadelphia County); On-site; USD 100,000 - 170,000; Full time

Benefits offered by this job

Healthcare plans

401(k) plan with discretionary company

Paid time off

Job summary

Alvarez & Marsal seeks a Senior Associate/Manager for Digital Finance Transformation within PEPI to modernize finance data, automate processes, and build analytics tools that drive measurable business impact.

The role requires 4–8+ years of experience, strong Python/SQL, and expertise with Snowflake, Databricks, and ETL tools, plus collaboration with CFOs and FP&A to create scalable solutions.

Qualifications

• 4–8+ years of professional experience; consulting or professional services preferred.
• Advanced Python programming with ML libraries (scikit-learn, TensorFlow, PyTorch).
• Strong SQL and experience with modern data platforms (Snowflake, Databricks, Azure Synapse, Microsoft Fabric).
• ETL/orchestration tools experience (Dagster, Temporal, Azure Data Factory, AWS Glue, Fivetran, Matillion).
• Liteweight finance applications using Streamlit or Retool.
• Solid understanding of finance and accounting concepts (forecasting, working capital, 3-statement modeling).
• Excellent communication and collaboration across finance and tech teams.

Responsibilities

• Help portfolio companies accelerate digital enablement in finance through data modernization and automation.
• Design, implement, and operationalize digital finance solutions for measurable impact.
• Collaborate with CFOs, Controllers, and FP&A to translate finance needs into scalable analytics.

Skills

Python

SQL

Finance & accounting

Communication

Data analytics

Tools

Snowflake

Databricks

Azure Synapse

Microsoft Fabric

Dagster

Temporal

Azure Data Factory

AWS Glue

Fivetran

Matillion

Job description

Alvarez & Marsal seeks a Senior Associate/Manager for Digital Finance Transformation within PEPI to modernize finance data, automate processes, and build analytics tools that drive measurable business impact.

The role requires 4–8+ years of experience, strong Python/SQL, and expertise with Snowflake, Databricks, and ETL tools, plus collaboration with CFOs and FP&A to create scalable solutions.