Job description

About Carrot: Carrot is the leading global fertility and family care platform, built on intelligent care orchestration: the right clinical guidance, at the right moment, in the context of each member’s life. More than a thousand multinational employers, health plans, and health systems trust Carrot to support millions of members across 195 countries – from pre-pregnancy through menopause and major life moments in between. Carrot's comprehensive clinical program delivers industry-leading cost savings for plan sponsors and award-winning experiences and improved outcomes for millions of people worldwide. Carrot is widely regarded as a defining force in healthcare innovation as a recipient of several top-tier awards, including Fast Company's 'Most Innovative Companies' and CNBC's '100 Barrier Breaking Startups'. The company is regularly cited by leading global outlets — including The Economist, Bloomberg, The Wall Street Journal, NPR, ABC News, and Harvard Business Review — as a leading voice on digital health, the future of work, and family health. Learn more at get-carrot.com . The Opportunity 🚀 Carrot is seeking a Sr. Manager, Data Engineering to lead our Business Intelligence data engineering function as it scales to meet, and anticipate, the needs of the organization and its clients. This is a senior player/coach role with a strong emphasis on strategic leadership, technical excellence, and organizational impact. You will lead and grow a high-impact team while remaining deeply hands-on in architecting and building Carrot's data infrastructure. You will set technical vision, drive cross-functional data strategy, and ensure our data systems are reliable, scalable, secure, and aligned with business priorities. You will influence and execute on the long-term roadmap for Data Engineering within the Data Team, defining how we ingest, transform, govern, and expose data across the company, and partner closely with senior leaders across Product, Engineering, Operations, Analytics, and Go-To-Market functions. Given the small-but-mighty nature of the team, this role requires someone who is comfortable operating at multiple altitudes: setting multi-year architectural direction, shaping team and org design, and still rolling up their sleeves to build production-grade pipelines when needed. What You’ll Own 💼 In this role, you will: Own the technical vision and roadmap for BI data engineering, aligning it with company strategy and analytics needs. Design, build, and review scalable ETL/ELT pipelines and workflow orchestration systems, contributing hands-on production code in Python and SQL . Architect and optimize data warehouse models that support advanced analytics, self-service BI, and operational reporting. Establish and enforce standards for reliability, observability, testing, and performance across all data systems. Drive improvements in data quality, lineage, and governance , including documentation and metadata practices. Partner with backend product engineering teams to co-design production database schemas and event models with analytics and reporting in mind. Lead, mentor, and develop a team of data engineers , fostering a culture of technical excellence, ownership, and collaboration. Own team-level planning and execution , including capacity planning, prioritization, and delivery across concurrent workstreams. Translate ambiguous business and analytics needs into a clear, prioritized engineering roadmap with measurable outcomes. Partner closely with Product, Engineering, Analytics, Security, and Legal to align on priorities, ensure compliance, and remove cross-functional blockers. Evaluate and influence build vs. buy decisions , vendor selection, and tool adoption across data platforms, ingestion, and transformation. What Success Looks Like 📈 In your first 12–18 months, you will have: Elevated the maturity and consistency of data engineering practices across the BI function, with clear standards for reliability, testing, and observability. Built and retained a high-performing data engineering team recognized as a trusted partner to stakeholders across the business. Delivered a prioritized data engineering roadmap aligned with company strategy, with measurable progress on scalability and platform modernization. Strengthened the accuracy, recency, and security of enterprise data, meeting the requirements of regulated healthcare contexts. Enabled advanced analytics, self-service BI, and data products that drive meaningful business outcomes and influence Carrot's long-term data architecture strategy. About You ✨ You likely have: 8-10+ years of experience in data engineering or a closely related field, including 3-5+ years leading and managing data or software engineers. 5+ years of advanced SQL and 5+ years of Python development experience in production environments, including unit and integration testing. Strong, hands-on experience designing, building, and maintaining end-to-end ETL/ELT pipelines in production. Proficiency with cloud-based data platforms (e.g., Snowflake, AWS) and modern ingestion, transformation, and orchestration tools (e.g., Fivetran, dbt, Prefect, Airflow). Strong understanding of relational modeling and warehouse design principles , plus version control (Git preferred) and modern CI/CD practices. Demonstrated ability to define technical strategy and standards while remaining capable of direct technical execution. Excellent written and verbal communication skills , with strong knowledge of data governance, security best practices, and compliance protocols. Nice to Have ⭐ While not required, we would be especially excited if you bring: Direct experience with Carrot's current tech stack : Snowflake, Fivetran, dbt, Prefect, and AWS. Experience with enterprise BI platforms and enabling self-service analytics. Experience integrating batch and event-streaming or real-time ingestion systems . Prior experience leading data engineering teams in a startup or high-growth environment , ideally including managing other leads or senior-level ICs. Healthcare industry experience , including familiarity with healthcare data standards (HL7, FHIR) and privacy regulations (HIPAA, GDPR). Why This Role Matters 🧡 The reliability, scalability, and usability of Carrot's data systems directly power decision-making across the organization and for our clients. Data Engineering plays a foundational role in enabling the broader Business Intelligence function, and this role serves as the senior-most manager directly responsible for that capability. The Business Intelligence team at Carrot is highly cross-functional and central to the company's long-term success. Led by our Vice President of Data and Business Intelligence, the team includes data engineers, data scientists, and business intelligence analysts. In this role, you will build and nurture a high-performing team, ensure the accuracy and security of enterprise data in a regulated healthcare context, and influence the long-term data architecture and platform strategy at Carrot. Interview Process 🤝 We believe in a thoughtful and transparent interview process designed to create alignment for both candidates and our team. For this role, candidates can expect: Recruiter Screen — 30 minutes Hiring Manager Interview — 30–45 minutes Cross-Functional Panel Interviews — 45 minutes Executive Leadership Conversation — 30 minutes Hiring Manager Wrap-Up — 15 minutes Throughout the process, we will share additional context about the team, business priorities, customer landscape, and what success looks like in this role. Why Candidates Join Carrot 🌍 Carrot offers the opportunity to do meaningful work in service of a deeply human mission. Highlights include: A mission-driven company focused on expanding access to fertility and family-forming care globally. A high-growth environment where leaders are empowered to shape strategy and drive impact. Competitive compensation, equity, and comprehensive benefits. Flexible Time Off and a culture that actively encourages employees to recharge. Comprehensive parental leave and family-forming benefits. A collaborative, inclusive, and values-driven culture. The opportunity to work alongside passionate, thoughtful teammates committed to improving healthcare outcomes worldwide. Compensation: Carrot offers a holistic Total Rewards package designed to support our employees in all aspects of their life inside and outside of work, including health and wellness benefits, retirement savings plans, short- and long-term incentives, parental leave, family-forming assistance, and a competitive compensation package. The starting base salary for this position will range from $170,000-$210,000. Actual compensation may vary from posted base salary depending on your confirmed job-related skills and experience. Fraud and Security Notice: Please note that all communication regarding job opportunities at Carrot will come exclusively from an @get-carrot.com email address. If you receive messages from any other domain, please disregard them and report the incident to: securityreporting@get-carrot.com A Note on AI At Carrot, we believe AI can help us work smarter, move faster, and create more meaningful experiences for our members, customers, and each other. While not every role requires deep technical AI expertise, we value people who are curious, eager to learn, and excited to thoughtfully incorporate AI into their day-to-day work. For some roles, AI fluency is a core requirement—and we'll call that out clearly in the qualifications. For everyone else, we're looking for people who embrace new ways of working, use AI responsibly to improve quality and efficiency, and continue to learn as the technology evolves. Why Carrot? Carrot has received national and international recognition for its pioneering work, including Fast Company's Most Innovative Companies and World Changing Ideas, Inc. Power Partners, and Modern Healthcare’s Innovators. Carrot’s global workforce has been acknowledged with several accolades, including Fortune’s Best Workplaces in Healthcare, Great Place to Work, and Age-Friendly Employer certifications. Carrot is regularly featured in media reporting on issues related to the future of work, women in leadership, and healthcare innovation, including MSNBC, The Economist, Bloomberg, The Wall Street Journal, CNBC, National Public Radio, Harvard Business Review, and more. Learn more at carrotfertility.com.

Requirements

Must-haves

Own the technical vision and roadmap for BI data engineering, aligning it with company strategy and analytics needs.
Design, build, and review scalable ETL/ELT pipelines and workflow orchestration systems, contributing hands-on production code in Python and SQL .
Architect and optimize data warehouse models that support advanced analytics, self-service BI, and operational reporting.
Establish and enforce standards for reliability, observability, testing, and performance across all data systems.
Drive improvements in data quality, lineage, and governance , including documentation and metadata practices.
Partner with backend product engineering teams to co-design production database schemas and event models with analytics and reporting in mind.
Lead, mentor, and develop a team of data engineers , fostering a culture of technical excellence, ownership, and collaboration.
Own team-level planning and execution , including capacity planning, prioritization, and delivery across concurrent workstreams.
Translate ambiguous business and analytics needs into a clear, prioritized engineering roadmap with measurable outcomes.
Partner closely with Product, Engineering, Analytics, Security, and Legal to align on priorities, ensure compliance, and remove cross-functional blockers.
Evaluate and influence build vs. buy decisions , vendor selection, and tool adoption across data platforms, ingestion, and transformation.
What Success Looks Like 📈
In your first 12–18 months, you will have:
Elevated the maturity and consistency of data engineering practices across the BI function, with clear standards for reliability, testing, and observability.
Built and retained a high-performing data engineering team recognized as a trusted partner to stakeholders across the business.
Delivered a prioritized data engineering roadmap aligned with company strategy, with measurable progress on scalability and platform modernization.
Strengthened the accuracy, recency, and security of enterprise data, meeting the requirements of regulated healthcare contexts.
Enabled advanced analytics, self-service BI, and data products that drive meaningful business outcomes and influence Carrot's long-term data architecture strategy.
8-10+ years of experience in data engineering or a closely related field, including 3-5+ years leading and managing data or software engineers.
5+ years of advanced SQL and 5+ years of Python development experience in production environments, including unit and integration testing.
Strong, hands-on experience designing, building, and maintaining end-to-end ETL/ELT pipelines in production.
Proficiency with cloud-based data platforms (e.g., Snowflake, AWS) and modern ingestion, transformation, and orchestration tools (e.g., Fivetran, dbt, Prefect, Airflow).

Nice-to-haves

Strong understanding of relational modeling and warehouse design principles , plus version control (Git preferred) and modern CI/CD practices.
Nice to Have ⭐

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

gopythonsqlawsci/cdai

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Vision

Parental Leave

Wellness