Senior Data Lead

As Senior Data Lead, you will sit at the intersection of data architecture and business strategy. You will own Charm’s data infrastructure and analytics function — building the systems, governance frameworks, and team culture that transform raw data into clear, actionable intelligence.

This is a senior, player-coach role for someone who can design scalable data infrastructure, lead a technical team, and communicate insights directly to executive stakeholders. You’ll be a key voice in shaping how Charm uses data to compete and grow.

*What You’ll DoTeam Leadership & Mentorship*

* Manage, mentor, and grow a team of data engineers, analysts, and scientists.
* Define analytical standards and best practices, and coach the team on execution and communication.
* Foster a culture of curiosity, rigor, and collaboration within the data function.

*Data Strategy & Architecture*

* Design and oversee the development of scalable data warehouses, pipelines, and analytics platforms.
* Own Charm’s end-to-end data strategy, ensuring infrastructure decisions are aligned with business objectives.
* Continuously evaluate and evolve the data stack to keep pace with Charm’s growth.

*Data Governance & Quality*

* Implement data quality frameworks and establish validation processes across the organization.
* Ensure data integrity and consistency across all pipelines, models, and reporting surfaces.
* Define and enforce data governance standards, ownership, and documentation practices.

*Stakeholder Collaboration*

* Act as the primary point of contact between the data team and business leaders across product, sales, and operations.
* Translate complex business problems into structured, actionable analysis plans.
* Communicate findings and recommendations in clear, executive-level presentations and reports.

*Cross-Functional & ML Support*

* Partner closely with product and engineering teams to deploy data models and machine learning algorithms into production.
* Collaborate with operations to optimize data-driven workflows and surface efficiency opportunities.
* Support strategic initiatives with data modeling, forecasting, and ad hoc analysis as needed.

*What We’re Looking For*

* 5+ years of experience in data analytics, engineering, or data science, with a proven track record of leading teams and managing projects.
* Deep technical proficiency across modern data stacks, including advanced SQL, Python or R, and BI/visualization tools such as Tableau or Power BI.
* Hands-on experience with cloud data platforms (AWS, GCP, or Azure) and modern data warehousing technologies such as Snowflake, Redshift, or BigQuery.
* Strong data governance instincts — experience building quality frameworks, validation processes, and documentation standards.
* Exceptional communicator with the ability to translate highly technical concepts into strategic, executive-level insights.
* Analytical problem-solver comfortable navigating ambiguous, complex business challenges with limited direction.
* Experience working in a fast-paced, high-growth startup or scale-up environment is a strong plus.
* Background in eCommerce, retail, or consumer data is a bonus but not required.