Conduct AI due diligence to assess maturity, enterprise AI strategy, technology architecture, data governance, scalability, and integration readiness.
Evaluate AI/ML models, data pipelines, digital platforms, and cloud infrastructure to identify risks, synergies, and optimization opportunities.
Lead technology platform assessments in M&A contexts, including deal technology evaluations, carve-out planning, TSA design, and Day 1 readiness.
Deliver clear, business-relevant insights for client reports and presentations.
Facilitate client workshops and stakeholder discussions to align on AI strategy, platform roadmaps, and integration priorities.
Collaborate with cross-functional teams to assess the impact of AI and digital platforms on business operations and transaction outcomes.
Conduct AI operating model strategy assessments, AI use cases identification and prioritization, costing and ROI business cases creation.

Requirements

An MBA or an undergraduate degree in Engineering, Data Science, Computer Science, or a related field.
4–6 years of experience in AI due diligence, technology platform assessments, product due diligences, M&A technology consulting, or AI strategy engagements.
Experience advising private equity or corporate clients on AI or digital platform investments (ideally).
Knowledge of industry benchmarks and best practices in AI deployment and platform operations (ideally).
Ability to manage multiple projects and lead junior team members in a fast-paced environment.

Benefits

Continuous learning : You’ll develop the mindset and skills to navigate whatever comes next.
Success, as defined by you : We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

AI due diligenceAI strategytechnology architecturedata governanceAI/ML modelsdata pipelinescloud infrastructureM&A technology consultingcosting and ROI business casesdigital platforms

Soft skills

leadershipcommunicationcollaborationproject managementstakeholder engagementworkshop facilitationbusiness insight deliveryteam managementprioritizationadaptability

Certifications

MBAundergraduate degree in Engineeringundergraduate degree in Data Scienceundergraduate degree in Computer Science