Senior Director of Data & Integrations Engineering, Cedar

• 12+ years in software engineering or technical implementation, with meaningful time in data-intensive, integration-heavy, or platform domains
• 8+ years in engineering leadership, including 4+ years managing managers, ideally with direct experience overseeing an org of 30+ engineers
• Solid technical grounding in integration systems and data. You engage credibly with principals and managers on architecture trade-offs, operational risk, and build-vs-buy decisions. You don't need to be the deepest expert, but you need to know when to push back and when to trust
• High tolerance for ambiguity, with a demonstrated talent for reducing it. Cedar moves fast and the environment is genuinely noisy. You don't need a clean brief to start moving. You've thrived in orgs where priorities shift, asks are imperfect, and the path forward requires synthesis rather than instruction
• You create structure from chaos without waiting for someone else to hand it to you
• Operational instincts. You've owned SLAs, on-call programs, incident management, or client-facing reliability commitments, and you've built the systems and culture to sustain them
• Effective cross-functional stakeholder management, including executive presence. You can translate between engineering realities and business priorities without losing either side
• You've navigated trade-off conversations with product, finance, and executive audiences, and you're comfortable representing your teams' work, priorities, and risks clearly in front of C-suite leadership

Desirable

• 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 & Integrations Engineering, you'll report directly to the CTO and head an organization of ~35 engineers across three teams (Data Engineering, Integration Engineering, and Integration Support Engineering) through three experienced engineering managers
• You'll also be backed by Principal Engineers who own the deep technical vision and architecture for the org
• Your job isn't to be the smartest technical person in the room; 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 operational quality that our clients, partners, and internal teams depend on
• Who You'll Lead:
• Integration Engineering is accountable for bi-directional data integrations between Cedar and healthcare provider EHR systems: Epic, Cerner, Athena, and more
• The team services healthcare provider clients, delivers new implementations, enhances live integrations, and is building scalable integration frameworks to reduce go-live timelines and enable an expanding product surface. They are the technical engine behind Cedar's ability to grow
• Integration Support Engineering is Cedar's integration reliability team: on-call response, incident management, root cause analysis, and escalation resolution
• They own the SLAs that matter most to our clients and are evolving from a reactive response function toward a proactive, systems-thinking discipline, driving down incident volume through better observability, tooling, and upstream framework improvements
• Data Engineering builds and evolves Cedar's enterprise data platform: ELT/ETL pipelines, data governance, Medallion architecture, and the real-time data foundations that power Cedar's AI-driven products
• The team is mid-transformation, migrating from legacy infrastructure to a modern stack while simultaneously building net-new foundations for a next-generation analytics and intelligence platform that will drive all future product offerings. The stakes are high and the work is consequential
• What You'll Own:
• Delivery predictability. Establish and maintain the processes, rituals, and accountability structures that keep three parallel workstreams (greenfield platform work, client-facing implementations, and live production operations) shipping on time and with high quality
• You know how to right-size agile practices for the work at hand. Process pays rent; you believe that
• People and manager development. Grow an effective layer of engineering managers and help them build high-performing, engaged teams
• This is your primary lever. Your principals own the technical roadmap; your teams' health, growth, and culture live with you. You have a track record of developing first-time and experienced managers alike
• Operational excellence. Own the reliability and SLA performance of Cedar's integration systems. Reduce MTTI, MTTR, and systemic incident rates
• Build a culture where operational quality (observability, on-call discipline, postmortem rigor) is a first-class engineering value, not an afterthought
• Data platform evolution. Partner with the Principal Data Architect to keep Cedar's data platform transition on track: migration from legacy systems, adoption of new architecture across the organization, and ensuring that downstream consumers (product engineering, data science, analytics, and AI/ML) have trusted, accessible data when they need it
• Integration scalability. Reduce the time and cost of onboarding new clients and enabling new product lines. Advance the integration frameworks and patterns that let your teams scale their impact without scaling headcount proportionally
• Organizational clarity and thrash reduction. Build the structures (intake processes, prioritization frameworks, escalation paths) that protect your teams from the constant pull of ad-hoc requests and shifting priorities
• You'll also coach your managers to run their teams with increasing autonomy: to hold a line, uphold a roadmap, and absorb pressure without needing escalation assistance. You'll build an org that operates with discipline even when the environment around it is noisy
• Cross-functional partnership. Build effective relationships with Product, Data Science, Commercial, and Delivery Engineering
• Represent your teams' capacity and priorities clearly; negotiate trade-offs constructively; keep issues surfaced and resolved before they become crises. You're a peer other leaders want to work with
• You actively model AI-native workflows for your managers and teams, and you create the space and expectation for engineers to integrate these tools into how they build, debug, and ship. You've seen what happens when a team gets this right, and you want to make it happen again