Digital Finance Transformation – ERP Modernization: Senior Associate – Private Equity Performance Improvement (OPEN TO ALL US LOCATIONS)

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Posted Oct 31, 2026

Remote · US · ask about Worldwide Full Time
$100K – $170K/yr

Overview

This role supports Digital Finance Transformation within a Private Equity Performance Improvement Services practice. The focus is on helping private equity portfolio companies accelerate digital enablement in the finance function by modernizing data environments, automating processes, and building analytics-driven tools that create measurable business impact.

You will partner with CFOs, Controllers, and FP&A leaders to design, implement, and operationalize digital solutions that improve performance, transparency, and scalability.

Responsibilities

  • Help private equity portfolio companies accelerate digital enablement within the finance function
  • Modernize finance data environments and build analytics-driven tools
  • Automate finance processes to improve efficiency and operational performance
  • Develop and operationalize solutions that enhance performance, transparency, and scalability
  • Translate between finance and technology teams to deliver practical outcomes

Requirements

  • 4–8+ years of professional experience; consulting or professional services experience preferred
  • Advanced Python programming experience, including familiarity with machine learning libraries (e.g., scikit-learn, TensorFlow, 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

Preferred Qualifications

  • Machine learning experience beyond the basics
  • Additional experience aligned to finance transformation and analytics adoption in finance functions

Compensation & Benefits

  • Salary range: $100,000–$170,000 annually (dependent on factors including education, experience, skills, and geography)
  • Discretionary bonus program (based on a number of factors, including individual and firm performance)

Benefits for regular employees working 30+ hours per week may include:

  • Healthcare plans, flexible spending and savings accounts, life, AD&D, and disability coverages at rates determined periodically
  • 401(k) retirement savings plan, with an annual discretionary contribution (eligibility requirements apply)
  • 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
  • Parental leave
  • Vacation and personal days vary based on tenure and role type

Full-time positions and part-time positions over 30 hours.

Equal Opportunity Employer

The organization provides equal opportunity in employment, compensation, and other terms and conditions of employment without discrimination based on protected characteristics in accordance with applicable laws.

Additional Information

  • Candidates are considered as they apply on an ongoing basis until the opportunity is filled.
  • The organization does not accept unsolicited resumes from third-party recruiters unless they are engaged for a specified opening.