The Head of Data is an organizational leader with a passion for quality decision making and operational excellence and knows that a successful data team is a prerequisite. This person has a clear vision for how data can transform company strategy. The role requires hands-on leadership necessary to grow a team through the start-up phase into a mature organization and would be responsible for scaling the data function in an environment based primarily on cloud-based SaaS systems. The Head of Data ensures that the organization always approaches work with the goal of continuous improvement.

Responsibilities

• Build, develop, and retain a team of exceptionally talented people with diverse skills, giving them the support and guidance to best deliver our business outcomes
• Work with all functions of the company and executive management to guide and maintain a holistic vision of the future of data throughout the organization and help leadership plan for any changes in our data strategy or needs.
• Drive the scope and effectiveness of the Data function
• Ensure the Company's cloud data is centralized into a single data warehouse and modeled to support analytical requirements from all functional groups of the Company.
• Create a common data framework so that all company data can be analyzed in a unified manner.
• Collaborate with all functions of the company to ensure data needs are addressed and the required data is modeled and available to analysts and end-users.
• Develop a roadmap for the data function that clearly defines ownership and responsibility between the central data function and the functional groups.

Requirements:

• Experience leading a data team and hiring across the core four data roles
• Experience working directly with executive-level stakeholders
• Experience in people management
• Previous examples of cross-functional prioritization
• Experience working with a Modern Data Stack, including Snowflake, dbt.
• Enthusiasm for Maze and our mission
• You enjoy working remotely

7 / 30 / 60 / 90 plan

7 days — Company onboarding

Put the autopilot on and let you be guided through the onboarding: Get to know Maze, read about how we work, get access to the tools we use, ... and meet your team.

Main goal: You’re now one of us. You know everything you need to get started, where to find the information or who to ask to get the information you need.

30 days — Audit

Speak with as many people as possible from the Executive and operational levels. Understand their role in the organisation and forge a greater understanding of the current state (what’s working, what could be improved, what’s not working).

Main goal: Comprehensive understanding of what has been built to date, the gaps and challenges from your team, the different departments, and operational roles.

60 days — Run the team

Now that you’ve got a deeper understanding of where we stand.

It’s time to run the team, better understand the day-to-day, and address some of the low hanging fruits. By the end of this period, you should gain a complete view of the situation and put together the data Roadmap.

Main goal: Start running the team to get a 360 view and build the data Roadmap and get buy-in from key stakeholders.

90 days — Drive continuous improvement and impact

Define and track success metrics for your team, start/continue to execute on the Roadmap, amplify the impact achieved, and celebrate the wins. Start the hiring motion to help deliver your future plans, improve data/insight-driven culture and highlight its value/business impact.

Main goal: Start executing on the Data Roadmap

Maze values transparency and it enables us to approach compensation equitably across the world. We are informed by data and regularly check our salary ranges (either *United States* or *Rest of World*) against other venture backed companies. Additionally, we are proud of our holistic and generous benefits offerings, included in every compensation package.

The typical compensation for this role ranges from $127,500.00 to $196,000.00. Your salary is dependent upon many factors, including years of experience, expertise, etc. Don’t let the typical compensation range for this role stop you from applying; during your first interview, you can expect to have an open conversation with your recruiter regarding your compensation expectations.

Thoughts to share about how Maze communicates compensation? We’re open to hearing your insights and feedback.

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