Alphatec Spine
Senior Manager of Data and Analytics
Carlsbad, California, United States · Senior · Full-time
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Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
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About the role
- Provides leadership and oversight for data engineering, reporting, business intelligence, and analytics capabilities.
- Guides data quality, integration, transformation, and stewardship activities to improve data reliability and usability.
- Oversees delivery of dashboards, reporting solutions, and analytics products that provide actionable business insights.
Responsibilities
- Experience developing analytics roadmaps, governance practices, and scalable data solutions.
- Demonstrated success partnering with senior leaders and stakeholders to drive business outcomes.
Requirements
- Strong knowledge of data warehousing, data engineering, business intelligence, analytics, and reporting concepts.
- Experience with cloud-based data and analytics platforms, including Azure data services, Databricks, semantic models, and BI platforms.
- Ability to communicate complex technical concepts to both technical and non-technical audiences.
- Typically 8-10+ years of experience in business analytics, data engineering, data architecture, business intelligence, data science, reporting, or related disciplines.
- Candidates must be authorized to work in the United States without the need for current or future employer sponsorship.
Compensation
- Alphatec Spine, Inc. complies with state and federal wage and hour laws and compensation depends upon candidate's qualifications, education, skill set, years of experience, and internal equity. $160,000 - $200,000 Full-Time Annual Salary
Benefits
- Further, ATEC will make reasonable accommodations that are necessary to comply with disability discrimination laws.
Visa & Work Authorization
- At this time, ATEC Spine does not sponsor employment visas for this position
This listing is sourced directly from Alphatec Spine's careers page and normalized into a canonical job model.