Sr Manager, Software Engineering

About the Role

The successful candidate will have a deep understanding of the healthcare industry and the role of technology in advancing precision medicine. They will be well-versed in the latest developments in AI-assisted development tools, data analytics, and software engineering. This role will also require strong communication and interpersonal skills, as the Sr Manager will need to collaborate closely with cross-functional teams, including product managers, engineers, and clinicians.

Tempus is a company that values innovation, collaboration, and excellence. As a leader in the field of healthcare technology, Tempus is committed to delivering cutting-edge solutions that improve patient outcomes and advance the field of medicine.

What You Will Do

• Lead and manage a small, agile team of software engineers, providing technical guidance and mentorship to ensure the delivery of high-quality software solutions.
• Architect and implement comprehensive testing suites within DBT, ensuring the integrity and reliability of complex datasets.
• Design and enforce data quality gates in the CI/CD and ETL pipeline, guaranteeing that only high-integrity data reaches production environments.
• Perform exhaustive data profiling and deep-dive analyses using SQL and Python, evaluating completeness, identifying hidden patterns, and resolving structural inconsistencies.
• Collaborate directly with Product Managers and other Team Leads to develop and prioritize the product backlog, identifying work estimates and refining complex requirements into actionable technical tasks.
• Champion the use of AI productivity tools, such as Cursor, Claude, and GitHub Copilot, to streamline development, automate testing, and refactor legacy data pipelines efficiently.
• Define and report on key Data Quality KPIs, using correlation and trend analysis to provide platform-wide transparency.
• Manage an enterprise data model, integrating multiple domains across relational and NoSQL technologies.
• Architect and implement robust observability frameworks, creating real-time monitors, alerts, and dashboards that track the health and lineage of the data ecosystem.

What We Are Looking For

• Technical proficiency in the modern data engineering stack, specifically DBT, SQL, and Python.
• Proven track record of leading or mentoring a small team of engineers in a fast-paced environment.
• Hands-on experience with observability tools, such as Elementary and Grafana.
• Proficiency in leveraging AI coding assistants, such as Cursor, Claude, and Copilot, to enhance team velocity.
• Strong background in healthcare and next-generation sequencing (NGS) data.
• Analytical powerhouse, with the ability to use data profiling and correlation analysis to solve complex data integrity problems.
• Excellent communication and interpersonal skills, with the ability to translate technical data quality gaps into actionable insights for both internal developers and external stakeholders.
• Experience with agile development methodologies and version control systems, such as Git.

Nice to Have

• Experience with cloud-based data platforms, such as BigQuery.
• Knowledge of data modeling and data governance principles.
• Familiarity with machine learning and AI applications in healthcare.

Benefits and Perks

• Competitive salary and bonus structure.
• Comprehensive benefits package, including medical, dental, and vision coverage.
• Generous PTO and holiday policy.
• Flexible working hours and remote work arrangements.
• Professional development opportunities, including training and conference sponsorships.
• Access to cutting-edge technologies and tools.
• Collaborative and dynamic work environment.
• Recognition and reward programs for outstanding performance.

• To stand out as a candidate, be prepared to showcase your technical skills in DBT, SQL, and Python, as well as your experience in leading high-performing teams. Provide specific examples of your accomplishments and the impact you've made in your previous roles.
• Make sure your resume and online profiles are up-to-date and highlight your relevant skills and experience. A strong online presence can help you get noticed by the hiring team.
• Be prepared to discuss your experience with data quality and reliability, as well as your ability to communicate technical concepts to non-technical stakeholders.
• Research the company and the role thoroughly, and be prepared to ask informed questions during the interview process.
• Consider creating a portfolio or samples of your work to demonstrate your technical skills and experience.
• Don't be afraid to negotiate salary and benefits - Tempus offers a competitive compensation package, but it's always worth discussing your options.