VP, Data Analytics & Corporate Business Intelligence

About Dashlane

Dashlane's mission is to make security simple for millions of organizations and their people. We empower businesses of every size to protect company and employee data while helping everyone easily log in to the accounts they need—anytime, anywhere. Over 17 million users and 20,000 businesses in 180 countries use Dashlane for a faster, simpler, and more secure internet.

Our global team is united by a strong sense of community and passion for improving the digital experience of our users. Learn more about how we work, how we hire, and the benefits of being a Dashlaner in our Life at Dashlane page.

About the role 

We are hiring a business-savvy, data-directed, change agent to join our team as VP of Data & Analytics. We are looking for an accomplished senior professional who can build a well-rounded team, unlock data democratization across the organization, and install data-driven decision-making. Reporting to the Chief of Staff, you will have the unique opportunity to work directly with the Executive Team and senior leaders and influence the strategy and direction of the organization. You will act as a strategic business partner to support all our growth and innovative initiatives. 

The VP of Data & Analytics will be responsible for developing and executing a comprehensive data strategy that supports Dashlane's goals and objectives. The VP of Data & Analytics will lead the effort to establish a culture of data-driven decision-making, data governance, and data management, and will oversee the implementation of new data and analytics technologies. In addition, the VP of Data & Analytics will measure the ROI of data investments to ensure that the company is making the right decisions with a positive impact on the business. 

Location

You will be based in New York in a hybrid capacity, but will be managing a team of 10+ individuals based in our offices in NY, Paris and Lisbon. 

Responsibilities 

• Develop and execute a comprehensive data strategy that aligns with Dashlane's goals and objectives.
  • Develop and implement KPIs and metrics to measure the effectiveness of the data strategy and the value of data analytics projects to the organization.
  • Assure the value of data and analytics is well understood internally by executives, business leaders, and stakeholders.
  • Identify quick wins: Identify low-hanging fruit data analytics projects that can deliver quick wins and demonstrate fast value delivery.
  • Identify and evaluate potential partnerships with external data analytics teams or vendors to assist with executing the data strategy. 
• Establish a culture of data-driven decision-making across the organization. 
  • Advanced analytics should be the heart of complex decision-making
  • Promote autonomy and empowerment through findable, understandable, and trustworthy data.
  • Ensure timely data accessibility to all stakeholders to enable data-driven decision-making
  • Lead by example: Measure the ROI of data investments to ensure that the company is making data-driven decisions that positively impact the business.
• Expand the analytics capabilities of the team by developing and hiring skillful talent capable of leveraging best in class analytics tooling to provide deep insights and business intelligence.
  • Provide leadership, training and development to the existing team including clear career development paths and growth opportunities.
  • Develop an org structure and team, inclusive of a hiring plan, that is responsive to the needs of the business and proactive in providing insights.
• Develop and implement a data governance framework.
  • Ensure data management best practices and reinforce execution.
  • Focus on data quality: Establish standards and processes that ensure data is accurate, complete, and consistent.
  • Partner with the DPO to ensure compliance with data privacy and security regulations.
• Grow Dashlane’s data literacy.
  • Create a data literacy program that provides training and resources to employees across the organization (analysts, data engineers, product managers, marketing specialists, sales specialists, etc.).

Requirements  

• 10+ years of experience in data management, data governance, data analytics, and data modeling, preferably in a B2B SaaS environment
• 5+ years managing a team of at least 10 people

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