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Head of Corporate Data & Analytics

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

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 San Francisco area is $176,000 - $220,000. 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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Average salary estimate

$198000 / YEARLY (est.)
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$176000K
$220000K

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What You Should Know About Head of Corporate Data & Analytics, Lyft

At Lyft, we’re all about connecting people and serving our community, and that starts from within our organization. We're looking for a Head of Corporate Data & Analytics who’s ready to dive deep into our data-driven culture. In this pivotal role, you'll not only shape the future of our corporate data strategies but also spearhead the transformation of our data infrastructure. Your strategic vision will align directly with our key business objectives as you oversee the BI and analytics platforms that drive our decision-making processes. You'll lead a talented team ensuring that our data governance and quality standards are super tight and that the integrity of our data remains untouchable. We're counting on you to be the innovative leader who constantly finds new ways to extract actionable insights while building and mentoring a high-performing team. Your expertise will help us stay ahead of emerging AI trends, and your collaborative spirit will foster partnerships throughout various departments, ensuring our analytical services resonate across all areas of the business. If you have a passion for cultivating talent and a deep understanding of data management, we’d love to hear from you as we work together to bring out the best in Lyft’s data potential.

Frequently Asked Questions (FAQs) for Head of Corporate Data & Analytics Role at Lyft
What are the responsibilities of the Head of Corporate Data & Analytics at Lyft?

As the Head of Corporate Data & Analytics at Lyft, your primary responsibilities will include defining and executing a strategic vision for corporate data and analytics, leading the transformation of data infrastructure, and implementing AI-driven solutions. You'll also champion a data-driven culture, develop departmental budgets, and ensure compliance with data security standards.

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What qualifications do I need for the Head of Corporate Data & Analytics position at Lyft?

To qualify for the Head of Corporate Data & Analytics position at Lyft, you should have a minimum of 8 years of leadership experience in enterprise data management or analytics, with at least 5 years of managing cross-functional teams. An advanced degree in Computer Science, Data Science, or a related field is preferred, along with expertise in modern data technologies and BI platforms.

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How does Lyft ensure data security and compliance in the Head of Corporate Data & Analytics role?

In the Head of Corporate Data & Analytics role at Lyft, ensuring data security and compliance is a top priority. You will develop and implement robust governance frameworks that adhere to the highest standards of privacy and security across all corporate data assets, safeguarding both customer and organizational information.

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What kind of team will I lead as the Head of Corporate Data & Analytics at Lyft?

As the Head of Corporate Data & Analytics at Lyft, you will lead a high-performing team dedicated to transforming our data practices. This includes mentoring team members, fostering strategic partnerships across departments, and driving initiatives powered by data insights that inform business decisions.

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What benefits does Lyft offer for the Head of Corporate Data & Analytics position?

Lyft offers an attractive benefits package for the Head of Corporate Data & Analytics, including comprehensive health insurance options, mental health support, a 401(k) plan, and generous paid time off policies, including 18 weeks of paid parental leave. We also provide exceptional employee perks such as subsidized commuter benefits and a chance to be part of our Ridership Program.

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Common Interview Questions for Head of Corporate Data & Analytics
What strategies would you implement to improve our data governance at Lyft?

In response to this question, you could outline how you would assess the current governance framework, identify gaps, and implement standardized procedures and policies that ensure data quality and compliance. Highlight the importance of collaboration with cross-functional teams to establish robust governance.

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Can you provide an example of a successful data transformation project you've led?

When answering this, describe a particular project where you successfully improved data practices. Focus on your role, the challenges you faced, how you implemented AI-powered solutions, and the positive impact it had on decision-making.

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How do you stay updated on emerging trends in data analytics?

To answer this, mention specific resources like industry publications, webinars, or networking events. Emphasize your proactive approach to learning and how you leverage this knowledge to inform strategic decisions at Lyft.

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What is your approach to building and mentoring a team?

Discuss your philosophy on team building, emphasizing the importance of mentorship and personal development. Provide specific examples of how you have cultivated talent in previous roles.

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How do you ensure that data insights are effectively communicated to non-technical stakeholders?

Describe your approach to simplifying complex data concepts into actionable insights. This may include using visual aids, storytelling techniques, or regular updates to ensure all stakeholders are informed and engaged.

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What tools and technologies do you recommend for effective data analytics?

When confronted with this question, mention modern data technologies and BI tools such as Redshift, Tableau, and Thoughtspot. Justify your choices by elaborating on how they address specific analytics needs and enhance decision-making processes.

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How do you manage budget considerations for data initiatives?

To effectively respond, stress your experience with budget management, including how you prioritize initiatives that deliver high-impact results. Highlight your ability to optimize technology investments while ensuring cost-effectiveness.

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What role does AI play in the future of data analytics?

Discuss the transformative impact of AI on data analytics, from automating data processes to delivering predictive insights. Emphasize your commitment to exploring new AI trends and incorporating them into Lyft’s data strategy.

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How do you foster a data-driven culture within an organization?

Explain your tactics for promoting a data-driven culture, such as providing training sessions, sharing success stories, and establishing data literacy programs that empower employees at all levels to leverage analytics in their decision-making.

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What challenges have you faced in leading data organizations and how did you overcome them?

Reflect on specific challenges, such as resistance to change or data silos. Provide examples of proactive strategies you used to overcome these obstacles, highlighting your leadership and problem-solving skills.

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Lyft is one of the leading ride-sharing companies in America offering services in ride-hailing, vehicles for hire, motorized scooters, a bicycle-sharing system, rental cars, and food delivery in the United States and select cities in Canada.

112 jobs
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BADGES
Badge ChangemakerBadge Diversity ChampionBadge Flexible CultureBadge Work&Life Balance
CULTURE VALUES
Inclusive & Diverse
Rise from Within
Mission Driven
Diversity of Opinions
Work/Life Harmony
Customer-Centric
Social Impact Driven
Rapid Growth
BENEFITS & PERKS
Maternity Leave
Paternity Leave
Flex-Friendly
Medical Insurance
Dental Insurance
Vision Insurance
Mental Health Resources
Life insurance
Disability Insurance
Health Savings Account (HSA)
Flexible Spending Account (FSA)
401K Matching
FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
March 23, 2025

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