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.
Key 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
Required Qualifications:- 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
Preferred Skills:- 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
Technical Environment:Our data infrastructure is built on modern cloud technologies including:
- Azure Databricks + Data Factory (plus Fabric and Snowflake integrations)
- PySpark for distributed data processing
- GitHub Actions + Terraform for CI/CD and Infrastructure as Code
- Python with type-safe patterns and modern frameworks
- Healthcare data formats including FHIR, Epic Clarity, and other EHR schemas
Pay & Benefits: The pay range for this role is between $130,000 and $165,000, and will depend on your skills, qualifications, experience, and location. This role is also eligible for equity and benefits.
Join our mission to revolutionize healthcare with AI. To apply, please send your resume through the application below.
