{"id":710650,"url":"https://alion.io/job/qualifiedhealthai-engagement-manager-data-modernization","title":"Engagement Manager, Data Modernization","company":{"id":685969,"name":"Qualified Health","domain":"qualifiedhealthai.com","url":"https://alion.io/company/qualifiedhealthai","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":95,"open_postings":13,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":110,"computed_at":"2026-11-05T05:54:30Z"}},"role":"Product","role_family":"Product","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":130000,"max":165000,"currency":"USD","period":"year","gross":null,"usd_annual":165000},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Azure Data Factory","optional":true},{"name":"CI/CD","optional":true},{"name":"FHIR","optional":true},{"name":"GitHub Actions","optional":true},{"name":"pySpark","optional":true},{"name":"Python","optional":true},{"name":"Snowflake","optional":true},{"name":"Spark","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-03-24T00:54:39Z","employer_posted_date":"2026-03-24","last_verified_at":"2026-11-05T22:02:26Z","board_verified":true,"closed_at":null,"days_open":227,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":226},"description":"Transform healthcare with us.\nAt 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.\nThis 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.\nJoin us in shaping the future of healthcare.\nJob Summary:\nThe 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.\nYou 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.\nThis 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.\nKey Responsibilities:\nOwn the modernization engagement lifecycle: scoping, SOW alignment, kickoff, milestone tracking, status reporting, and handoff\n\nServe as primary point of contact for partner stakeholders during engagements\n\nCoordinate across engineering, data mapping, cloud/infrastructure, and client integration resources\n\nManage engagement timelines, risks, and dependencies across 2-3 concurrent engagements\n\nRun weekly status calls with partner teams\n\nEnsure clean handoff to the Client Integration team post-modernization\n\nBuild and refine the engagement playbook for repeatability and scalability\n\nTrack capacity across concurrent engagements and flag resource conflicts early\n\nRequired Qualifications:\nBachelor's degree in Engineering, Business, Information Technology, or a related field\n\n4-7 years in technical project/program management, professional services delivery, or technical consulting\n\nExperience managing data platform, cloud infrastructure, or data integration projects\n\nSufficient technical fluency to engage in conversations about Azure, Databricks, data pipelines, and networking\n\nStrong communication skills: clear status reporting, expectation management, risk escalation\n\nAbility to travel for engagement kickoffs, key milestones and on-site working sessions 20-30% of the time\n\nPreferred Skills:\nHealthcare IT or health system experience - understanding of how health systems operate, their procurement and IT decision-making dynamics\n\nExperience managing concurrent engagements (2-3 at a time) with different partners and timelines\n\nBackground in a consulting firm, systems integrator, or professional services organization\n\nExperience building engagement playbooks and delivery processes from scratch\n\nPartner Management: You know how to manage expectations, deliver difficult messages when timelines shift, and maintain trust even when things get complicated\n\nTechnical Fluency: You can't write the Terraform, but you understand what it does and you can tell when a technical conversation is going sideways\n\nOrganizational Rigor: You manage milestones, action items, and resource allocation across concurrent engagements without dropping anything\n\nProcess Building: You're excited by the opportunity to build the engagement playbook, not just follow one - because the playbook doesn't fully exist yet\n\nAdaptability: Comfort working in a startup where your role will evolve as the data modernization service line matures\n\nTechnical Environment:\nOur data infrastructure is built on modern cloud technologies including:\nAzure Databricks + Data Factory (plus Fabric and Snowflake integrations)\n\nPySpark for distributed data processing\n\nGitHub Actions + Terraform for CI/CD and Infrastructure as Code\n\nPython with type-safe patterns and modern frameworks\n\nHealthcare data formats including FHIR, Epic Clarity, and other EHR schemas\n\nWhy Join Qualified Health?\nThis is an opportunity to join a fast-growing company and a world-class team, that is poised to change the healthcare industry. We are a passionate, mission-driven team that is building a category-defining product. We are backed by premier investors and are looking for founding team members who are excited to do the best work of their careers.\nOur employees are integral to achieving our goals so we are proud to offer competitive salaries with equity packages, robust medical/dental/vision insurance, flexible working hours, hybrid work options and an inclusive environment that fosters creativity and innovation.\nOur Commitment to Diversity\nQualified Health is an equal opportunity employer. We believe that a diverse and inclusive workplace is essential to our success, and we are committed to building a team that reflects the world we live in. We encourage applications from all qualified individuals, regardless of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, disability, or veteran status.\nPay & 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.\n Join our mission to revolutionize healthcare with AI. 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