Advisory Architect, Data/AI Due Diligence- TTS

West Monroe is looking for an Advisory Architect, 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 Architect 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 within our newly formalized (but long existing) technology M&A offering 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 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, 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
• Drive new business with existing clients by identifying unique opportunities and liaising to appropriate client leads, account managers, or business developers

Qualifications:

• Master’s/Bachelor's Degree in Computer Science, Information Systems, or equivalent relevant work experience
• Minimum 6-8+ 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