Engagement Manager, Data Modernization

🕒 July 28

🇺🇸 United States – Remote

💵 $130k - $165k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 18%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Qualified Health

WebsiteLinkedInAll Job Openings

51 - 200 employees

🏥 Healthcare

🤖 Artificial Intelligence

☁️ SaaS

💰 $30M Seed on 2025-02

Healthcare • Artificial Intelligence • SaaS

Qualified Health is a healthcare-native enterprise AI platform that unifies AI solutions, governance, integrations, and builder tools for health systems. The company provides an end-to-end platform that connects to clinical, operational, and financial systems to power multiple AI workflows, offers a library of validated AI solutions, agent and workflow builder tools, and built-in governance, oversight, and workforce education. It aims to enable safe, compliant, and measurable AI deployment across health systems and is partnered with major health systems and AI organizations; it reports rapid deployments (15k users in <1 month) and measurable financial and operational impact.

📋 Description

• 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

🎯 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

🏖️ Benefits

• Competitive salaries with equity packages • Robust medical/dental/vision insurance • Flexible working hours • Hybrid work options • Inclusive environment that fosters creativity and innovation