Senior Data Lead
charmioDenver (CO)
About the role
The Opportunity:
- 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.
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
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