Chartis is a healthcare consulting firm that collaborates with over 1,900 organizations to enhance the quality and accessibility of healthcare. The Principal Product Manager will lead the vision and execution of an internal workforce automation platform, utilizing AI to improve consulting workflows and outcomes.
Responsibilities:
- Own and articulate a product vision for consulting workforce automation grounded in first-hand understanding of how consulting engagements are structured, staffed, and delivered
- Identify the highest-leverage opportunities to remove friction, reduce time on low-value tasks, and augment consultant judgment with AI across the full engagement lifecycle
- Translate product vision into concrete roadmaps, success metrics, and measurable business outcomes
- Define and deliver AI-powered capabilities that augment consultant judgment, generate insight at scale, and assist teams
- Engage directly with engineering on architecture and design, including agent orchestration, knowledge retrieval systems, and integration with internal consulting workflows and data sources
- Contribute to technical decision-making on architecture, AI models, and agentic systems, evaluating trade-offs across quality, scalability, and cost
- Operate as a high-impact individual contributor, partnering closely with engineering, analytics, and consulting leadership to move from concept to pilot to scale
- Serve as the connective tissue between consulting and technical teams, translating workflow knowledge into product requirements through ongoing, iterative engagement with the consulting organization
- Communicate options and trade-offs to senior leaders to enable fast, well-informed decisions
Requirements:
- 10+ years of total professional experience, with a meaningful portion spent in management consulting, ideally reaching the Engagement Manager level or higher, with direct responsibility for structuring and delegating work
- Bachelor's degree required; advanced degree a plus
- Demonstrated experience in healthcare consulting strongly preferred; deep familiarity with healthcare provider, payer, or health system operating environments
- Product management, product strategy, or a technology-oriented role, with hands-on experience delivering AI-enabled or data-intensive products
- Technical fluency sufficient to engage credibly with engineering and architecture discussions, with a strong desire to go deeper in AI, agentic systems, and emerging technologies
- Proven ability to define the right metrics, deliver measurable outcomes, and take products from concept to scale in ambiguous environments
- Demonstrated success taking products from concept to pilot to scale in ambiguous, early-stage environments