Cedar

Healthcare

Sr.Director,Data&IntegrationsEngineering

$250–350k ~AI est. United States Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Director candidates.

The Brief

“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.

Healthcare
Problems you'll solve

Root cause analysis; Systems thinking

Eligibility Requirements

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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