The Director of Data at Tailscale will be the visionary and executor behind our data infrastructure and strategy. This pivotal role involves overseeing the collection, storage, management, quality, and security of data across the company. You will lead a team responsible for turning data into critical insights that inform strategic decisions and product enhancements. Your leadership will ensure that Tailscale's data ecosystem supports our growth, innovation, and operational needs effectively and securely. This role will report to Tailscale's COO.
Key Responsibilities:
- Develop and execute the company's data strategy, optimizing data collection, storage, analysis, and governance processes to drive business growth.
- Build, mentor, and empower a high-performing team of data professionals, including analysts, engineers, operations roles, and data scientists, to drive innovation and deliver impactful results.
- Engineer and implement robust data infrastructure and pipelines, ensuring seamless and secure data flow throughout the organization to support critical business operations.
- Establish and uphold stringent data governance and quality standards, ensuring regulatory compliance (e.g., GDPR, CCPA) and safeguarding sensitive information.
- Collaborate cross-functionally to understand and address departmental data requirements, aligning data initiatives with overarching business objectives to maximize value.
- Champion the adoption of advanced analytics, machine learning models, and data visualization tools to drive informed decision-making and fuel product innovation.
- Coordinate, connect, and align the sales and marketing systems that support go-to-market motions.
- Effectively communicate data-driven insights and narratives to stakeholders at all levels, fostering a culture of data literacy and informed decision-making across the organization.
Requirements:
- Exceptional leadership skills with a track record of building and mentoring high-performing data teams.
- Experience in a variety of data and product management roles, with material experience in a leadership position overseeing data teams and initiatives.
- Deep understanding of data architecture, data modeling, and database technologies (e.g. SQL, NoSQL, dbt, Fivetran).
- Proven experience in setting up and managing data warehouses, lakes, and data analytics platforms (e.g. Snowflake).
- Strong knowledge of data governance, data quality management, and data protection laws and regulations (e.g. GDPR, CCPA).
- Experience with data analytics and visualization tools (e.g. Looker, Grafana) and familiarity with machine learning frameworks.
- An advanced degree (or equivalent experience) in Data Science, Computer Science, Information Technology, or a related field.
- Excellent communication and stakeholder management skills, capable of conveying complex data concepts in simple terms.
As a company, we strive to maintain fair and equitable compensation practices within our team across all roles and all levels. We use San Francisco market data to establish our pay ranges.
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