Portfolio Operations – AI & Operational Excellence

Key Responsibilities

• Partner with Lewis & Clark team members and portfolio company executives to identify and prioritize value creation opportunities across operations, data, and technology
• Translate business problems into practical, implementable solutions using modern tools and technologies
• Lead and support initiatives spanning workflow optimization, process automation, and data infrastructure, reporting, and analytics
• Evaluate emerging software and AI-enabled tools and platforms, distinguishing high-impact applications from low-value noise
• Develop and implement practical solutions, building lightweight and scalable tools that drive adoption within portfolio companies
• Serve as a thought partner to management teams on operational strategy and technology adoption
• Manage multiple projects across companies, balancing strategy development with hands-on execution
• Track and communicate the impact of initiatives to internal stakeholders
• Document and share learnings across portfolio companies to build repeatable playbooks

Qualifications

• 3–7 years of experience in management consulting, technology implementation, or private equity value creation and portfolio company operations
• Hands-on experience with modern data tools, automation platforms, and AI/LLM workflows with a track record of building and deploying solutions, not just evaluating them
• Experience working in code (Python, SQL, or similar) at a scripting level and ability to build and configure solutions independently, including API integrations, automation workflows, and no-code / low-code platforms. This is not a software engineering role and deep coding expertise is not required.
• Experience in private equity-backed or multi-company environments strongly preferred

Core Competencies

• Strong business acumen with the ability to quickly understand complex business models, products, and operational challenges
• Strong listening skills and the ability to diagnose problems and synthesize inputs quickly
• Execution-oriented mindset with comfort moving from idea to implementation
• Systems thinking and the ability to understand how processes, data flows, and tools connect across a business
• Deep curiosity about technology and AI, with practical judgment to distinguish high-impact opportunities from hype
• Technical self-sufficiency, with the ability to scope, build, and troubleshoot solutions independently across a range of tools and platforms
• Proven project management skills with the ability to manage multiple initiatives across different companies simultaneously
• Executive presence and confidence working with senior leadership teams
• Adaptability and comfort working in ambiguous, fast-moving environments