Cedar
Healthcare
Sr.Director,Data&IntegrationsEngineering
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“Sr. Director, Data & Integrations Engineering at Cedar. Skills: Data Engineering, Integration Engineering, AI/ML. Deliver with consistency. Develop your people”
What You'll Achieve.
Deliver with consistency; Reduce organizational thrash; Ensure operational quality; Ship workstreams on time; Ship workstreams with high quality; Build high-performing teams; Build engaged teams; Own integration system reliability; Own integration system SLA performance; Reduce MTTI; Reduce MTTR; Reduce systemic incident rates; Build operational quality culture; Ensure downstream consumers have data; Reduce time onboarding clients; Reduce cost onboarding clients; Scale team impact; Protect teams from ad-hoc requests; Protect teams from shifting priorities; Coach managers to run teams; Hold a line; Uphold a roadmap; Absorb pressure; Build org with discipline; Surface issues before crises; Resolve issues before crises
Industry & Context.
Root cause analysis; Systems thinking
On-call response
What They're Looking For.
Must Have
12+ years in software engineering, 12+ years in technical implementation, Meaningful time in data-intensive roles
Nice to Have
Experience with AI-driven products, Experience with client-facing analytics, Experience with integration frameworks, Experience with Medallion architecture, Experience with legacy infrastructure migration, Experience with modern stack migration, Experience with next-generation analytics platform, Experience with AI/ML platform development, Experience with Epic EHR, Experience with Cerner EHR, Experience with Athena EHR, Experience with integration reliability, Experience with on-call response, Experience with incident management, Experience with root cause analysis, Experience with escalation resolution, Experience with observability tooling, Experience with systems thinking, Experience with ELT/ETL pipelines, Experience with data governance, Experience with real-time data foundations, Experience with agile practices, Experience developing engineering managers, Experience with operational quality, Experience with observability, Experience with on-call discipline, Experience with postmortem rigor, Experience with data platform transition, Experience with downstream consumers, Experience with integration scalability, Experience with onboarding new clients, Experience with enabling new product lines, Experience with intake processes, Experience with prioritization frameworks, Experience with escalation paths, Experience with Product, Experience with Data Science, Experience with Commercial, Experience with Delivery Engineering, Experience with AI-forward mindset, Experience with agentic developer tooling, Experience with AI-native workflows
What You'll Do.
Deliver with consistency
Reduce organizational thrash
Ensure operational quality
Establish relationships
Establish stakeholder alignment
Build enterprise data foundation
Expand integration footprint
Support new product lines
Support go-to-market motions
Build scalable integration frameworks
Reduce go-live timelines
Enable expanding product surface
Evolve integration reliability
Drive down incident volume
Build and evolve data platform
Migrate from legacy infrastructure
Build net-new foundations
Drive future product offerings
Maintain accountability structures
Ship workstreams on time
Ship workstreams with high quality
Grow engineering managers
Build high-performing teams
Own integration system reliability
Own integration system SLA performance
Reduce systemic incident rates
Build operational quality culture
Keep data platform transition on track
Ensure downstream consumers have data
Reduce time onboarding clients
Reduce cost onboarding clients
Advance integration frameworks
Advance integration patterns
Protect teams from ad-hoc requests
Protect teams from shifting priorities
Coach managers to run teams
Build org with discipline
Build effective relationships
Represent teams' capacity
Represent teams' priorities
Model AI-native workflows
Create space for engineers
Create expectation for engineers
How You'll Work.
Team & Collaboration
Internal partners; Cross-functional partnership; Product; Data Science; Commercial; Delivery Engineering
Process & Methodology
Agile practices
Full Job Description
Our healthcare system is the leading cause of personal bankruptcy in the U. S. Every year, over 50 million Americans suffer adverse financial consequences as a result of seeking care, from lower credit scores to garnished wages. The challenge is only getting worse, as high deductible health plans are the fastest growing plan design in the U. S. Cedar’s mission is to leverage data science, smart product design and personalization to make healthcare more affordable and accessible. Today, healthcare providers still engage with its consumers in a “one-size-fits-all” approach; and Cedar is excited to leverage consumer best practices to deliver a superior experience. The Role Cedar is at a meaningful inflection point. We're building a new enterprise data foundation to power the next generation of AI-driven products and client-facing analytics while simultaneously expanding our integration footprint to support new product lines and go-to-market motions. The complexity is real, the stakes are high, and the environment is dynamic. Transparently, this role comes with challenges to navigate. These teams sit at the intersection of client delivery, platform evolution, and operational reliability, which means ad-hoc demands land here regularly and the roadmap can evolve mid-flight. You're not walking into a well-oiled machine; you're walking into an opportunity to build one. A big part of this role is establishing the processes, relationships, and stakeholder alignment that reduce that thrash over time, working closely with internal partners and customers to create more predictability for your teams. The right person for this role doesn't just tolerate the current environment. They see it clearly, stay steady within it, and consistently work to improve it. As Sr. Director of Data your principals have that covered. Your job is to make the whole machine run: deliver with consistency, develop your people, reduce the organizational thrash that slows everyone down, and ensure the oper
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