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Head of Corporate Data & Analytics
| Company | Lyft |
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| Location | San Francisco, CA, USA |
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| Salary | $165000 – $206250 |
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| Type | Full-Time |
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| Degrees | Master’s |
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| Experience Level | Senior, Expert or higher |
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Requirements
- 8+ years of leadership experience in enterprise data management, analytics, or business intelligence
- 5+ years leading cross-functional teams with demonstrated success scaling data organizations
- Advanced degree in Computer Science, Data Science, Analytics, or equivalent combination of education and experience
- Demonstrated expertise with enterprise solutions using modern data technologies (Redshift, Hive, Airflow) and bi/analytics platforms (Tableau, Mode, Thoughtspot)
- Demonstrated expertise Experience managing departmental budgets and optimizing technology investments
- Experience developing and implementing enterprise-wide data governance and master data management strategies
- History of successfully leading organizational change management in data-centric transformations
- Proven ability to translate complex technical concepts into business value for non-technical audiences
Responsibilities
- Define and execute the strategic vision for corporate data and analytics that aligns with and advances key business objectives
- Architect the enterprise data ecosystem, establishing governance frameworks and standards that balance innovation with compliance
- Lead the transformation of corporate data infrastructure and develop and implement AI-powered solutions to enhance data insights, automate processes, and improve decision-making. Stay abreast of emerging AI trends and evaluate their potential impact on the organization’s data strategy
- Champion a data-driven culture, driving the evolution of the company’s analytical infrastructure, leveraging deep technical expertise to deliver scalable solutions by partnering with various organizations and senior leaders to leverage insights for strategic decision-making
- Develop and manage departmental budgets, ensuring cost-effective allocation of resources across data and analytics initiatives
- Build and develop high-performing teams through strategic hiring, mentorship programs, and advancement opportunities
- Foster strategic partnerships across the organization, including Accounting and Internal audit to anticipate future data needs and position analytics as a competitive advantage
- Ensure data security, compliance, and privacy standards are maintained across all corporate data assets
Preferred Qualifications
No preferred qualifications provided.
