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HealthfirstDirector, Performance Improvement
Director of Performance Improvement responsible for PI initiatives and team leadership at Healthfirst. Collaborating with operations to enhance business processes and productivity measures.
About the role
- Architect and implement scalable data solutions using Databricks, Azure/AWS and modern data stack technologies
- Design and build robust data pipelines, lakehouse architectures, and real-time analytics platforms
- Provide hands-on development support with Spark, SQL, Python, and Delta Lake
- Champion DataOps practices, CI/CD automation, and infrastructure-as-code
- Ensure compliance with data governance, quality, and security standards
- Lead end-to-end delivery of complex data programs from ideation to production
- Coordinate cross-functional teams including data engineers, analysts, scientists, and DevOps
- Develop and manage project roadmaps, dependencies, and risk mitigation strategies
- Implement agile methodologies and monitor delivery metrics, budget adherence, and stakeholder satisfaction
- Manage and mentor a team of 8–15 data professionals; provide technical coaching, career development, and performance management
- Establish coding standards, best practices, and frameworks; drive hiring, onboarding, and retention strategies
- Collaborate with business leaders, product owners, and executive sponsors to define and execute data strategy
- Lead stakeholder communications, reporting, change management, and vendor contract negotiation
Requirements
- 7+ years in data delivery leadership, including 3+ years of hands-on experience with Databricks
- 3+ years of direct team management experience (8+ technical professionals)
- Proven success delivering large-scale cloud data platforms (budgets of $1M+)
- Strong technical proficiency in Spark, SQL, Python, and cloud architectures (Azure/AWS)
- Experience with orchestration tools such as Azure Data Factory, AWS Glue, or Airflow
- PMP, Scrum Master, or equivalent project management certification
- Exceptional stakeholder management and executive communication skills
- Familiarity with data governance frameworks and regulatory compliance
- Demonstrated ability to mentor technical talent and lead organizational change
- Preferred: Databricks certification (Data Engineer Associate/Professional)
- Preferred: Cloud certifications (Azure Data Engineer, AWS Data Analytics Specialty)
- Preferred: Experience with Infrastructure-as-Code tools (Terraform, CloudFormation)
- Preferred: Background in MLOps and model deployment pipelines
- Preferred: Knowledge of Kubernetes, containerization, and modern DevOps practices
- Preferred: Prior consulting or client-facing delivery experience
- Preferred: Advanced degree in Computer Science, Engineering, or related field
Benefits
- competitive compensation and benefits
- challenging work environment
- rewarding career opportunities
- training and assimilation
- a diverse work environment of sharing, learning, and growing together
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
SF
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