Data Manager
Correlation One
full-time
Posted on:
Location Type: Remote
Location: Canada
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About the role
- Manage and develop the team. You'll run 1:1s, shape career paths, give honest feedback, and build a team culture that balances high standards with low ego. You'll also own hiring as the team evolves.
- Own the technical direction. Decide when something is being built the expedient way versus the sustainable way. Help the team ask better questions, structure analyses well, and produce work that actually drives decisions. Guide how the data platform and the team's analytical capabilities evolve together.
- Decide what the team works on, and what it doesn't. The team's backlog today is largely shaped by incoming requests from stakeholders. You'll be the person who evaluates that work against strategic value, pushes back where appropriate, and protects capacity for longer-arc investments. This means partnering closely with our Data Product Manager to negotiate priorities. You own the "how" and "how much," they own the "what" and "why."
- Drive operational work toward automation. A meaningful chunk of the team's time goes to recurring manual processes. The pattern we want to follow: identify what's manual, automate it, recover the capacity. You'll find those opportunities and make sure they get done.
- Be client-aware. Our work supports enterprise clients directly. You should be comfortable understanding client needs, translating them into data requirements, and occasionally representing the data function in client-adjacent conversations.
Requirements
- People management experience. You've actually managed people, including hiring, developing, giving hard feedback, and making tough calls. Not just led projects, but owned a team's performance and growth.
- Technical credibility in the data space. You have a background that spans both data engineering and analytics. You can review a dbt model, help an analyst turn a vague question into a structured approach, and make sound calls on how to build things sustainably. Familiarity with dbt, SQL, warehouse modeling, and pipeline orchestration is key, but so does knowing what makes a convincing analysis.
- Prioritization judgment. Your job is to figure out what matters most, what can wait, and what should stop. This requires understanding business context, not just technical work.
- Strong communication and stakeholder skills. You'll partner with product, operations, and occasionally client-facing teams. You need to explain technical tradeoffs to non-technical stakeholders and push back on requests without damaging relationships.
- Comfort with ambiguity. You're not walking into a well-defined playbook. You'll need to assess, build your own understanding, and start making calls.
Benefits
- Insurance or subsidies based on country
- Retirement plan based on country
- Unlimited Time Off, with a minimum time off recommendation
- Company-paid holidays
- Official company-wide holiday for the last week of the calendar year
- Access to free data skills training through our programs
- A company culture that empowers individuals and embraces diversity through its core mission
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data engineeringanalyticsdbtSQLwarehouse modelingpipeline orchestrationautomationdata platformanalytical capabilitiesdata requirements
Soft Skills
people managementcommunicationstakeholder managementprioritizationclient awarenessfeedbackdecision makingambiguity managementteam culture buildingstrategic evaluation