Data Team Lead

Datarails is a financial planning and analysis platform that automates financial reporting and planning while enabling finance teams to continue using Excels familiar spreadsheets and financial models.

We are seeking an experienced Data Team Lead to build lead and scale our data function. This is a hands-on leadership role that combines strategic thinking technical excellence and people management. You will build and manage a team of Data Engineers and Data Analysts while working closely with senior management and cross-functional leaders to translate data into measurable business impact.

This role is ideal for someone who thrives in a fast-paced startup environment enjoys influencing decision-making at the highest levels and is passionate about embedding a data-driven mindset across the organization.

• Lead and mentor the Data team and support their professional growth while achieving impact goals of the marketing data structure such as: multi touch attribution model creative analytics and automated data governance processes.
• Define and own the data vision roadmap infrastructure and best practices aligned with company objectives.
• Act as a trusted data partner to executive leadership and senior stakeholders influencing strategy through insights and analysis while promoting a strong data-driven culture.
• Oversee the design build and maintenance of a scalable and reliable data warehouse.
• Lead the design implementation and optimization of ETL/ELT pipelines to integrate data from multiple internal and external sources.
• Ensure high standards for data quality governance integrity and documentation.
• Translate complex datasets into clear actionable insights that support the different departments needs and the company growth through operational excellence.
• Support advanced analytics use cases including forecasting experimentation (A/B testing) and performance measurement.
• Review and elevate dashboards reports and analyses to ensure clarity accuracy and executive relevance.
• Identify gaps in data collection and proactively propose solutions to improve visibility and decision-making.

Requirements:

Experience & Background

• Bachelors or Masters degree in Analytics Statistics Mathematics Data Science Computer Science or a related field - Preferred
• 5 years of experience in data analytics or data engineering leadership roles preferably in a SaaS or technology-driven environment.
• Experience building data infrastructure standards and best practices from the ground up.
• Previous experience leading projects and mentoring or managing team members - a must.
• High attention to detail and commitment to data accuracy and quality.
• Proactive collaborative and comfortable operating in a fast-growing startup environment.

Technical Skills

• Strong proficiency in SQL and Python for data manipulation and analysis.
• Hands-on experience with ETL tools and frameworks (e.g. Apache Airflow dbt or similar).
• Solid understanding of data warehousing concepts and platforms (e.g. Snowflake Redshift BigQuery).
• Experience with data visualization tools such as Tableau Power BI or Looker.
• Familiarity with marketing and product analytics tools: user acquisition ad managers APIs Salesforce and HubSpot data and integrations.
• Strong understanding of SaaS metrics including ARR churn LTV CAC and cohort analysis.