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Head of Corporate Data & Analytics ID - 13832

Job Description

At Lyft, our purpose is to serve and connect. To do this, we start with our own community by creating an open, inclusive, and diverse organization.

We believe that our data is one of our greatest assets, and the insights we derive from it are crucial to our success. As the Head of Corporate Data and Analytics, you will share in our vision that data is a catalyst for business transformation. In this role, you'll shape the future of our organization's corporate data foundation, ensuring that our Bi and analytics platforms, and data infrastructure services not only meet today's needs but anticipate and address tomorrow's challenges. Reporting to the Chief Information Officer, you will lead a team that oversees critical data and analytic services that touch every aspect of our business and inform strategic decisions at Lyft. From ensuring robust data governance and quality through our analytics ecosystem to maintaining the integrity and accessibility of our data infrastructure to finding new and innovative ways to derive actionable insights from our vast repositories, your leadership will be crucial in creating an environment where data and its insights enables innovation.

If you are a leader who can see beyond the traditional boundaries of data management, has the vision of what could be, who has the ability to cultivate relationships, and a belief in developing the skills and talents of others, then you may be the ideal person for this position.
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
Experience:
  • 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
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Remote Data Entry, $40/hr, Part-Time, No Degree Required
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Virtual Assistant, $42/hr, Evening, Remote, No Degree
Remote Customer Support, $45/hr, No Experience, Part-Time
Data Entry, $50/hr, Night Job, No Degree, Remote
Remote Moderator, $40/hr, College Student Friendly, Part-Time
Virtual Assistant, Remote, $42/hr, Weekend, No Experience
Remote Phone Job, $45/hr, Part-Time, No Degree Required
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Data Entry, Remote, $42/hr, Evening Job, No Degree
Live Chat Support, $45/hr, Weekend, Remote, College Student
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Data Entry, $40/hr, No Experience, Remote, Weekend Job
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Live Chat Support, $50/hr, Remote, No Experience Required
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Data Entry, $45/hr, Remote, Night Job, No Degree
Benefits:
  • Great medical, dental, and vision insurance options with additional programs available when enrolled
  • Mental health benefits
  • Family building benefits
  • Child care and pet benefits
  • 401(k) plan to help save for your future
  • In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
  • 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
  • Subsidized commuter benefits
  • Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program

Lyft is an equal opportunity employer committed to an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.

This role will be in-office on a hybrid schedule - Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the Seattle area is $161,920 - $202,400. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.
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