Data Science/AI Advisor, Tech M&A Due Diligence

1 week ago Be among the first 25 applicants

NOTE: We will not accept candidates submitted by third parties or recruiting agencies – direct applicants only.

ABOUT THIS ROLE:

• Contract-to-Hire with the intention to convert to employee in 3-6+ months but can also extend longer on contract, business case-dependent
• Hourly Rate is flexible depending on level and fit of candidate as well as office alignment
• Hybrid Working Model with expectation of 2 days/week working in the Chicago office when not traveling for client work
• Travel Expectations are around ~20% but can often be 0% as well depending on the client and engagement

Are you ready to elevate your career? Our consulting firm is seeking a seasoned Data Engineering & Analytics Advisor to lead technology-focused M&A due diligences on target companies our clients are interested in purchasing. In this role, you’ll collaborate with cross-functional tech consulting teams to assess enterprise data engineering orgs and AI environments, identify value creation opportunities, and guide clients through complex transactions.

What you will do:

• Lead data science and data engineering & architecture due diligence engagements in support of client M&A activity
• Evaluate enterprise data architectures, data engineering organizations, and overall technology ecosystems to recommend improvements for scalability and optimization
• Evaluate modern AI tools and products to identify risks, efficiencies, and growth opportunities
• Develop investment theses, risk mitigation strategies, and long-term technology roadmaps for both pre-close evaluations and post-close integrations
• Write up tech environment summaries and present findings and strategic recommendations to executive client stakeholders and PE executives
• Mentor and guide junior team members including data engineers, architects, and analysts to foster a high-performance culture
• Support business development at existing clients by recognizing strategic needs and engaging relevant internal teams for further development

What we are looking for:

• 10+ years in data science, data engineering/architecture, and/or data modeling, design, and implementation
• Previous roles as hands-on technologist in areas like data science (AI/ML, GenAI, LLMs), data engineering & architecture, business intelligence, reporting, etc.
• Confidence in assessing AI capabilities within an organization and how best to leverage their application in solving business problems
• Comfortable navigating and assessing modern cloud environments (Azure, AWS, GCP), data platforms (Databricks, Snowflake), and BI tools (Power BI, Tableau)
• Strong technical acumen coupled with communication, leadership, and client-facing skills
• Bachelor's or Master’s degree in Data Science, Computer Science, or similar field preferred; otherwise, equivalent and applicable working experience is required
• Consulting or startup experience preferred but will consider those coming from industry roles
• Willingness to travel to target companies as needed (up to 20% but likely minimal)
• Willingness to work in a hybrid model and come into our local office 2x/week

Seniority level

• Seniority level

  Director

Employment type

• Employment type

  Contract

Job function

• Job function

  Information Technology and Consulting

• Industries

  IT Services and IT Consulting

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