AI Deployment Strategist

What you will do: Bridge business objectives and technical solutions by developing value-creating strategies for internal investment desks, portfolio companies, and external clients. Apply a rigorous, hypothesis-driven approach to translate complex data insights into actionable initiatives that drive measurable business outcomes. Assess AI readiness across organizations by evaluating data estates, identifying gaps, and driving initiatives to achieve the required maturity for successful AI deployment. Conduct in-depth analysis of processes to identify and prioritize high-impact value creation opportunities within the Cerberus portfolio and client ecosystem. Collaborate with technical teams to craft comprehensive solution development plans, then guide execution from inception to completion, including thorough results evaluation with a sharp emphasis on quantifying business and financial outcomes. Drive adoption of internally developed AI and technology products by engaging stakeholders, managing forward deployment of engineers, and ensuring successful implementation at client sites. Contribute to product strategy by helping shape feature roadmaps based on client feedback, market trends, and emerging technology opportunities. Lead the creation of high-quality deliverables that facilitate seamless solution deployment and effective communication to senior stakeholders. Sample Projects You May LeadRoll out internally developed, GenAI-based product to portfolio companies or investment desks to automate specific workflows. Collaborate with internal investment teams to design and implement ML-based asset pricing models to optimize portfolio performance for granular asset classes. Project manage end-to-end AI initiatives across portfolio companies, ensuring timely delivery, measurable impact, and alignment with strategic objectives. Drive AI adoption within Cerberus following our data strategy and AI roadmap; develop or discover AI products to streamline operations and unlock scale. Your experience0-to-1 project inception - You have successfully managed at least one complex data project from conception to full-scale implementation, resulting in measurable impact. Machine Learning and AI – You possess a demonstrated track record in productionizing AI and/or ML systems, supported by concrete, tangible examples. Proven Leadership - Exceptional leadership skills with experience guiding cross-functional teams in fast-paced, high-growth settings. Adept at thriving in ambiguous situations while instilling clarity, focus, and momentum. Strategic & Analytical Thinking – A versatile, data-driven decision-maker with strong strategic thinking capabilities. Skilled at operating in ambiguity, shaping overarching technology and AI strategies, and defining transformative initiatives. Bachelor’s or Master’s degree in a relevant field (e.g. Computer Science, Engineering, Business), and/or relevant industry experience.

About Us: We are a new, but growing team of AI specialists - data scientists, software engineers, and technology strategists - working to transform how an alternative investment firm with $65B in assets under management leverages technology and data. Our remit is broad, spanning investment operations, portfolio companies, and internal systems, giving the team the opportunity to shape the way the firm approaches analytics, automation, and decision-making. We operate with the creativity and agility of a small team, tackling diverse, high-impact challenges across the firm. While we are embedded within a global investment platform, we maintain a collaborative, innovative culture where our AI talent can experiment, learn, and have real influence on business outcomes. Seniority level Associate Employment type Full-time Job function Engineering and Information Technology Industries Financial Services, Investment Management, and Venture Capital and Private Equity Principals Inferred from the description for this job Medical insurance Vision insurance 401(k) Paid paternity leave Child care support Paid maternity leave