Engineering Director, Data & Integration Platforms

The Role

We are seeking a seasoned Engineering Director to lead our Data Integration and Platforms team. This role will help us tackle challenges of scale, quality and insight as the company grows its market share and product scope. You will be responsible for building systems and technologies used by client-facing engineers performing data integrations with electronic health record systems; those used by product engineers integrating with partners and making their own data available for analysis; those used by data scientists creating business insights that help build better products and create better patient experiences. This new team brings together engineers from multiple parts of the organization, and you will be responsible for aligning the team on a common data, AI and ML platform vision - then relentlessly executing while staying atop evolving business priorities.

In this role you will:

• Build a strong team of data, software and implementation engineers from junior to staff+ levels, first-time and senior engineering managers, helping them grow in the fundamentals and through industry connections
• Collaborate closely with delivery engineering teams on mechanisms to improve the quality, speed and scalability of data integration with healthcare providers.
• Establish a technical vision for Cedar’s data platform, building stronger connections and making common data and tools available and usable by teams across the organization; bringing industry insight, tooling and relationships to bear to help our team punch above its weight.
• Improve governance and quality across our dbt pipelines, jupyter notebooks and homegrown ETL pipelines, integrating into our existing development lifecycle or evolving it as necessary.
• Build strong relationships with peers across the organization, helping define a roadmap that balances short-term and long-term needs, aligns with product and infrastructure direction, and ensures issues are surfaced and resolved promptly.
• Prepare the organization for broad adoption of AI/ML, expanding our ability to support existing capabilities at larger scales - more patients, more engineers and more types of data. 
• Oversee engineering projects from start to finish, ensuring they meet deadlines, stay within budget, and deliver exceptional results.
• Continuously drive scalability into data tools, processes and engineering practices in order to reduce implementation and analytic timelines, customer friction points and maintenance costs.  

About You

• 10+ years of experience in software implementation and engineering, with some fraction of that in teams integrating or using large and complex datasets.
• 5+ years of total experience in a leadership role, managing engineering teams. An ideal candidate will have had 2+ years of experience managing managers (teams of 20+).
• Technical expertise across the data ecosystem: storage, query and ETL orchestration technology; governance and quality; analytics, visualization, and AI/ML pipelines.
• Proven track record of successful project delivery and customer satisfaction, including technical change management.
• Excellent cross-functional stakeholder management experience to navigate trade-off discussions and negotiate priorities.
• Strong process orientation around getting things done at scale - you are comfortable with project management methodologies but believe Process Pays Rent and can adapt the right agile delivery model for the team.
• Ability to thrive in a fast-paced, dynamic environment with competing priorities.
• You are passionate about creating a diverse, equitable, and inclusive environment where collaboration is a core part of how you work.

Compensation Range and Benefits

• Salary/Hourly Rate Range*: $246,500 - $290,000
• This role is equity eligible
• This role offers a competitive benefits and wellness package

*Subject to location, experience, and education

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