Analytics Technical Lead
Role Overview
Own the analytics product program across the global Analytics organization, coordinating how products are built and integrated across solutions.
Accountable for the coherence, quality, and delivery velocity of analytics products for internal and external use.
The role combines program leadership with hands-on individual contribution when complex work requires it.
The description identifies this as a hybrid role.
Key Skills for This Role
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About Qventus
Qventus develops healthcare operations solutions using machine learning, generative AI, and behavioral science to help hospitals anticipate and resolve issues.
The company describes its mission as helping care teams focus on patient care and improving healthcare operations.
About the role
Own the analytics product program across the global Analytics organization, coordinating how products are built and integrated across solutions.
Accountable for the coherence, quality, and delivery velocity of analytics products for internal and external use.
The role combines program leadership with hands-on individual contribution when complex work requires it.
The description identifies this as a hybrid role.
Key responsibilities
- Own delivery of coherent, high-quality, on-time analytics products that are stable, maintainable, and easy to enhance.
- Shape standards, analytics AI skills and context, and team structures to increase delivery velocity in partnership with Data Engineering, BI Engineering, and Product.
- Manage solution analytics leads, coordinate day-to-day work, sequence work across solutions, and keep the team focused and unblocked.
- Partner with data platform and semantic architecture leaders on BI and semantic foundations for embedded and self-service analytics, including analytics agents.
- Contribute directly as an individual contributor when needed to unblock the team and maintain the expected quality bar.
Core qualifications
- Have owned a technical program, scoping, sequencing, and shipping analytics or data work across parallel workstreams with accountability for overall quality and coherence.
- Bring analytical rigor and hands-on SQL/dbt, modern warehouse, and BI depth to perform the work and set standards.
- Build repeatable processes and standards that function without depending on personal effort.
- Influence cross-functional partners, drive alignment when interpretations differ, and maintain strong relationships with platform, engineering, and architecture teams.
- Scale proven ways of working across solutions and teams while navigating ambiguity.
Additional qualifications that are a plus
- Healthcare domain expertise, including operational data, clinical workflows, hospital operations, or healthcare measurement challenges.
- Experience scaling an analytics function at a growing company.
- Familiarity with data governance, metric governance, or semantic layer concepts.
- Experience with dbt, Sigma, and knowledge management systems for metric definitions and analytical decisions.
- Exposure to AI-enabled, natural-language, or agentic analytics workflows.
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