Related skills
analytics cloud data engineering data science aiπ Description
- Develop and drive the enterprise data strategy aligned with goals.
- Build scalable data platforms across data eng, DS, AI/ML.
- Lead cross-functional partnerships with product, tech, clinical, ops, GTM.
- Evangelize a data-driven culture and trusted insights.
- Define data quality, governance, interoperability, and responsible AI.
- Oversee teams: data engineering, ML engineering, data science, analytics.
π― Requirements
- 12+ years in data Eng/Analytics/DS/ML/AI; 5+ yrs in senior leadership.
- Proven cloud-based data platform building and high-performing teams.
- Deep expertise in data architecture, distributed systems, ML/AI.
- Proven ability to partner with executives across functions to drive decisions.
- Experience owning enterprise data strategy with measurable business impact.
π Benefits
- Competitive medical, dental, and vision coverage.
- Flexible PTO and paid holidays.
- 401(k) with company match.
- Stock options and equity incentives.
- Mental health and wellness benefits.
- Equal opportunity employer.
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