Advisory Lead DataAI Due Diligence

West Monroe is looking for an Advisory Lead - Data/AI due diligenceto join our Technology & Experience Practice; Transaction ServicesData 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 they will also have the chance to continuously expand their 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.

Responsibilities:

• 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 departments big data projects.
• Keep pulse of the latest development trends in cloud (AWS GCP Azure etc) data platforms (Databricks Snowflake etc) databases (RDBMS SQL NoSQL Oracle etc.) reporting (PowerBI 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 PowerBI 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.

Qualifications:

• Masters/Bachelors 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 implement large sophisticated data models by combining synthesizing and structuring data
• Experience performing complex data migration to and from disparate data systems/platforms as well as to/from the cloud (AWS Azure GCP etc.)
• Good knowledge of standard concepts best practices and procedures within a data warehousing and Business Intelligence (BI) environment
• Provide Points of View (POV) and recommendations for cloud-native industry-leading products along with emerging start-up offerings
• including proposal development estimation and day-to-day project management (time tracking budgeting status reporting etc.)
• Strong sense of urgency with comfortability delivering solutions in fast-paced dynamic environments
• Excellent critical thinking leadership communication and project management skills
• Proven success achieving in-year revenue expectations
• Willingness to travel for out-of-town client engagements
• Hybrid work with two days in office
• A commitment to inclusion and diversity and openness to new ideas and perspectives