AI Project Manager
Job Description
Lewis & Clark Capital is a family office investing in and partnering with lower middle market businesses across a range of industries. We are seeking a highly motivated Value Creation professional to work directly with portfolio company leadership teams to drive operational improvements, process automation, and the practical adoption of software, data, and AI-enabled workflows.
\nThis role sits at the intersection of strategy, operations, and technology, with a mandate to identify and execute initiatives that create measurable value across our portfolio.
\nKey Responsibilities
\n- \n
- Partner with Lewis & Clark team members and portfolio company executives to identify and prioritize value creation opportunities across operations, data, and technology \n
- Translate business problems into practical, implementable solutions using modern tools and technologies \n
- Lead and support initiatives spanning workflow optimization, process automation, and data infrastructure, reporting, and analytics \n
- Evaluate emerging software and AI-enabled tools and platforms, distinguishing high-impact applications from low-value noise \n
- Develop and implement practical solutions, building lightweight and scalable tools that drive adoption within portfolio companies \n
- Serve as a thought partner to management teams on operational strategy and technology adoption \n
- Manage multiple projects across companies, balancing strategy development with hands-on execution \n
- Track and communicate the impact of initiatives to internal stakeholders \n
- Document and share learnings across portfolio companies to build repeatable playbooks \n
Qualifications
\n- \n
- 3–7 years of experience in management consulting, technology implementation, or private equity value creation and portfolio company operations \n
- 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 \n
- 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. \n
- Experience in private equity-backed or multi-company environments strongly preferred \n
Core Competencies
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- Strong business acumen with the ability to quickly understand complex business models, products, and operational challenges \n
- Strong listening skills and the ability to diagnose problems and synthesize inputs quickly \n
- Execution-oriented mindset with comfort moving from idea to implementation \n
- Systems thinking and the ability to understand how processes, data flows, and tools connect across a business \n
- Deep curiosity about technology and AI, with practical judgment to distinguish high-impact opportunities from hype \n
- Technical self-sufficiency, with the ability to scope, build, and troubleshoot solutions independently across a range of tools and platforms \n
- Proven project management skills with the ability to manage multiple initiatives across different companies simultaneously \n
- Executive presence and confidence working with senior leadership teams \n
- Adaptability and comfort working in ambiguous, fast-moving environments \n
What Success Looks Like
\n- \n
- Identifying and executing on high-impact, practical opportunities across portfolio companies \n
- Driving measurable improvements in efficiency, cost, and growth \n
- Building and deploying solutions that are adopted and sustained over time \n
- Helping portfolio companies adopt modern tools without over-engineering solutions \n
- Developing a repeatable playbook for how L&CC approaches AI and technology implementation across the portfolio \n
- Becoming a trusted partner to management teams and internal stakeholders \n
Why This Role
\nThis is a unique opportunity early in your career, working across multiple businesses, building real solutions, and shaping how AI and automation are applied in practical, value-accretive ways.
