Advisory Lead - Data​/AI Due Diligence

Advisory Lead – Data/AI Due Diligence

West Monroe is looking for an Advisory Lead – Data/AI Due Diligence to join our Technology & Experience Practice;
Transaction Services–Data Engineering & Analytics and deliver on technology M&A due diligence projects. The Advisory Lead will partner with other Transaction Services advisors/architects (Cloud, Cyber, Software Engineering, infrastructure) and executive client stakeholders to provide assessment solutions and tech advisory across a variety of industries, including Private Equity, High-Tech & Software, Healthcare, and Financial Services. As a technology agnostic firm, you will have the chance to continuously expand your skillset while working with cutting‑edge tools, platforms, and frameworks.

This is an exciting opportunity to work along M&A offerings and lead strategic enterprise projects, advanced analytics due diligences, post‑merger integrations, and carve‑out advisory engagements.

• Collaborate with cross‑functional teams, Transaction Services’ consultants from other competencies (i.e., Software Engineering, Cloud & Infrastructure, Cybersecurity, Data & Analytics) in support of holistic, tech due diligence assessments for client M&A activity and identify growth and remediation opportunities through analysis of existing data and analytics systems, business processes and data monetization opportunities.
• Assess underlying technology/libraries/tooling landscape within enterprise organizations to make recommendations to strategic investors on improving market readiness, achieving long‑term scalability, and/or reducing operational cost.
• Formulate strategic investment summaries, key risk mitigation analyses, and long‑term technology‑based strategy for both pre‑close and post‑close projects.
• Establish the linkage between business strategy and data strategy (and vice versa) to deliver impactful outcomes.
• Executive presence with the ability to present, interpret, and recommend results of work including the development of new concepts, major advances in the field, new major applications, and progress on all product programs.
• Be a thought leader, create white papers and represent the organization at various industry conferences and events.
• Provide leadership and mentoring to data engineers/architects/BI analysts and practitioners.
• Be the visible face of the data engineering/AI team to internal partners, external customers and prospects, and the data architect community at large.
• Be a Subject Matter Expert (SME) for the data platform engineering (ingestion through insights), data strategy, data modeling initiatives across the department’s big data projects.
• Keep pulse of the latest development trends in cloud (AWS, GCP, Azure, etc.), data platforms (Databricks, Snowflake, etc.), databases (RDBMS, SQL, No
  
  SQL, Oracle, etc.), reporting (Power
  
  BI, Quicksight, etc.), ETL/ELT, data warehousing, data hubs, data lakes, data marts, etc. and various tools, products, and use cases.
• Expertise in data warehousing approaches (Kimball, Inmon), normalized and de‑normalized data models including dimensional schemas (star, snowflake).
• Strong understanding of streaming (e.g., Kafka, Kinesis), batch & workflow (e.g., Airflow, AWS Glue, CTTRL‑M) data transport technologies.
• Experience with Data Visualization tools including Power
  
  BI, Tableau, Looker, etc.
• Understanding of how AI ties into business operations and value creation, providing the strategy to leverage AI.
• Drive new business with existing clients by identifying unique opportunities and liaising to appropriate client leads, account managers, or business developers.
• Experience in diligence to evaluate data usage, identify gaps, and propose future use cases for AI.

• Master’s/Bachelor's Degree in Computer Science, Information Systems, or equivalent relevant work experience.
• Minimum 10+ years of hands‑on professional development experience in data modeling and data design and must have hands‑on experience implementing solutions.
• Consulting firm/industry or start‑up experience preferred.
• Experience with the technical programming to access and extract data from diverse sources residing on multiple platforms and…