Data Lead – Central Data Team

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of the entire lifecycle of a data domain, encompassing processing, validation, tagging, modeling, and usability for downstream applications.

• Create validation frameworks, monitoring systems, and quality assurance processes to enhance data quality.

• Develop reusable methodologies and establish centralized analytical frameworks that span across various business units.

• Collaborate with the Technical Product Manager and Data Engineering Manager to determine analytical and technical direction.

• Integrate new datasets in partnership with the Data Evaluation team and external data providers.

• Leverage AI, automation, and innovative tools to enhance data processing, validation, documentation, and maintenance efforts.

• Guide junior analysts and foster domain standards, processes, and a positive culture.

• Manage projects that involve receipt classification, automated quality assurance, dataset onboarding, processing architecture, and standardized business logic.

⛳️ Requirements

• 6–8+ years of experience in the field of data analytics.

• Advanced proficiency in SQL.

• Familiarity with Python or PySpark.

• Capability to construct dependable, reusable analytical workflows.

• Demonstrated ability to rapidly grasp complex data methodologies and develop robust data mental models.

• Experience in leading intricate, ambiguous projects with various stakeholders.

• Skill in calibrating analytical rigor according to decision stakes.

• Capacity to analyze bias and representativeness in data.

• Experience managing messy, inconsistent datasets and adapting to evolving schemas.

• Proficiency in articulating complex concepts, methodologies, risks, and tradeoffs clearly.

• Ability to influence and engage cross-functional partners effectively.

• Interest in and active use of AI tools.

• Background in financial services, management consulting, data science, high-growth technology, or another data-intensive environment.

🏝️ Benefits

• Flexible work hours.

• Flexible vacation policy.

• Generous 401K matching program.

• Parental leave.

• Team-building events.

• Wellness budget.

• Reimbursement for learning and development.

• Equity options.

• Eligibility for an annual performance-based bonus of up to 10%.