Engagement Manager, Data Modernization

Qualified Health•Palo Alto, CA

8d•$130,000 - $165,000•Hybrid

About The Position

Transform healthcare with us. At Qualified Health, we're redefining what's possible with Generative AI in healthcare. Our infrastructure provides the guardrails for safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring — working alongside leading health systems to drive real change. This is more than just a job. It's an opportunity to build the future of AI in healthcare, solve complex challenges, and make a lasting impact on patient care. If you're ambitious, innovative, and ready to move fast, we'd love to have you on board. Join us in shaping the future of healthcare. Job Summary: The Engagement Manager for Data Modernization owns the delivery lifecycle for one of the most strategically important initiatives at Qualified Health. Many of our 15+ health system partners are still running legacy data infrastructure that creates significant slowdowns in AI deployment. You'll lead the engagements that change that — helping partners stand up modern Azure Databricks environments, land their EHR and source system data in a cloud-native architecture, and unlock the ability to deploy our agentic AI workflows at full speed. You are the single point of accountability for each engagement — from scoping and SOW alignment through milestone delivery and handoff to our integration team. You'll run the weekly status calls, manage partner expectations, coordinate across engineering, mapping, and infrastructure resources, and ensure every engagement delivers on its promises. This is not a traditional PMO role. You'll be managing deeply technical engagements where the deliverable is a functioning data platform. You need enough technical fluency to understand what's happening at the infrastructure and data layer, ask the right questions, and spot risks before they become blockers — all while maintaining the partner relationship and keeping the project on track.

Requirements

Bachelor's degree in Engineering, Business, Information Technology, or a related field
4-7 years in technical project/program management, professional services delivery, or technical consulting
Experience managing data platform, cloud infrastructure, or data integration projects
Sufficient technical fluency to engage in conversations about Azure, Databricks, data pipelines, and networking
Strong communication skills: clear status reporting, expectation management, risk escalation
Ability to travel for engagement kickoffs, key milestones and on-site working sessions 20-30% of the time

Nice To Haves

Healthcare IT or health system experience — understanding of how health systems operate, their procurement and IT decision-making dynamics
Experience managing concurrent engagements (2-3 at a time) with different partners and timelines
Background in a consulting firm, systems integrator, or professional services organization
Experience building engagement playbooks and delivery processes from scratch
Partner Management: You know how to manage expectations, deliver difficult messages when timelines shift, and maintain trust even when things get complicated
Technical Fluency: You can't write the Terraform, but you understand what it does and you can tell when a technical conversation is going sideways
Organizational Rigor: You manage milestones, action items, and resource allocation across concurrent engagements without dropping anything
Process Building: You're excited by the opportunity to build the engagement playbook, not just follow one — because the playbook doesn't fully exist yet
Adaptability: Comfort working in a startup where your role will evolve as the data modernization service line matures

Responsibilities

Own the modernization engagement lifecycle: scoping, SOW alignment, kickoff, milestone tracking, status reporting, and handoff
Serve as primary point of contact for partner stakeholders during engagements
Coordinate across engineering, data mapping, cloud/infrastructure, and client integration resources
Manage engagement timelines, risks, and dependencies across 2-3 concurrent engagements
Run weekly status calls with partner teams
Ensure clean handoff to the Client Integration team post-modernization
Build and refine the engagement playbook for repeatability and scalability
Track capacity across concurrent engagements and flag resource conflicts early