Senior Consultant- Data/AI Due Diligence-MTS

West Monroe•Chicago, IL

22h•$118,200 - $159,900•Hybrid

About The Position

West Monroe is looking for a Senior Consultant, Data/AI Due Diligence to join their Technology & Experience Practice, specifically within the M&A Transaction Services–Data Engineering & Analytics team. This role will focus on delivering technology M&A due diligence projects. The consultant will collaborate with other M&A Transaction Services advisors and architects (Cloud, Cyber, Software Engineering, infrastructure) and client stakeholders to provide assessment solutions and tech advisory across various industries like Private Equity, High-Tech & Software, Healthcare, and Financial Services. The firm is technology agnostic, offering opportunities to expand skillsets with cutting-edge tools and platforms. This position is part of a newly formalized technology M&A offering and will involve leading strategic enterprise projects, advanced analytics due diligences, post-merger integrations, and carve-out advisory engagements.

Requirements

Master’s/Bachelor's Degree in Computer Science, Information Systems, or equivalent relevant work experience.
Minimum 2-5+ years of hands-on professional development experience in data modeling and data design.
Must have hands-on experience implementing solutions.
Experience with the technical programming to access and extract data from diverse sources residing on multiple platforms.
Experience implementing 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.
Excellent critical thinking, leadership, communication, and project management skills.

Nice To Haves

Consulting firm/industry or start-up experience preferred.
Experience with 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.
Willingness to travel for out-of-town client engagements (up to 30-50% travel).
Proven success achieving in-year revenue expectations.
A commitment to inclusion and diversity, and openness to new ideas and perspectives.

Responsibilities

Collaborate with cross-functional teams, including Transaction Services consultants from other competencies (Software Engineering, Cloud & Infrastructure, Cybersecurity, Data & Analytics) to conduct holistic, tech due diligence assessments for client M&A activity.
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.
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.
Act as 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.
Serve as the visible face of the data engineering team to internal partners, external customers and prospects, and the data architect community.
Act as a Subject Matter Expert (SME) for data platform engineering (ingestion through insights), data strategy, and data modeling initiatives across the department’s big data projects.
Stay informed about 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.
Demonstrate expertise in data warehousing approaches (Kimball, Inmon), normalized and de-normalized data models including dimensional schemas (star, snowflake).
Show strong understanding of streaming (e.g. Kafka, Kinesis), batch & workflow (e.g. Airflow, AWS Glue, CTTRL-M) data transport technologies.
Utilize experience with Data Visualization tools including PowerBI, Tableau, Looker, etc.
Drive new business with existing clients by identifying unique opportunities and liaising to appropriate client leads, account managers, or business developers.