Position: Director of Data & Analytics

Location: Remote within the US, or hybrid from Fort Lauderdale, FL / Dallas, TX / Chicago, IL / Columbus, OH

Status: Full Time, W2

Reports to: Chief Operating Officer

Direct report: Senior Data Engineer

Salary Range: $185,000.00 to $215,000.00 annually, plus a 10-20% target bonus

Dress code: Business Casual, Casual Fridays

The Opportunity

Fuego's data function is moving from business reporting to the operational layer that executive decisions, marketing programs, and our AI systems run on. This role owns that layer end to end: the architecture, the definitions, the models, and the roadmap - and builds it hands-on through the first year.

Our stack today runs on SQL Server in production with BigQuery as the warehouse, and reporting across both an in-house application and Sigma. You'll set the target-state design and sequence the work to get there.

What you'll own

• Core metric definitions - lead, contact, conversion, placement, CAC, LTV - including the calculations, the governance, and a named owner for each.
• A certified core layer in BigQuery covering lead lifecycle, call and contact activity, agent and team performance, and media and channel spend, with exec-level reporting running on it.
• The target-state data architecture across source systems, warehouse, and transformation layer, plus the data engineering roadmap that delivers it.
• Multi-touch attribution across acquisition channels, resolved through to policy outcome and accurate enough to reallocate media and partner spend on.
• A unified customer database, with identity resolved across systems into one durable record - the basis for LTV, renewals, persistency, cross-sell, and lifecycle marketing.
• Fuego's ML roadmap - scoring, prioritization, routing - along with the platform to develop, deploy, monitor, and retrain on. Model work sits with an external vendor and a senior data engineer today; you'll bring it in-house and own model quality.
• The data layer our AI systems retrieve from: schemas, identity resolution, and real-time availability. Every call is captured as a transcript with LLM scorecard values on top, and those need to be modeled and joined to customer, lead, and agent records.
• Lead-quality economics, measured from acquisition cost through downstream buyer outcome.
• Technical evaluation of AI platforms and vendors for the business more broadly.

How you'll work

This is a small team by design, and the expectation is that it operates like a larger one, incorporating AI tooling into how the function delivers, from transformation authoring and testing through documentation and agent workflows. You'll also own the call on how the business consumes insight, which we expect to look less like dashboards someone has to remember to open and more like trusted data available where work already happens.

One senior data engineer reports to you on day one. You'll report to the COO and work directly with exec staff, marketing, and engineering - translating what the data layer can and can't support into decisions the exec team can act on. Through year one you'll be writing transformations, reviewing models, and in the warehouse yourself.

What You Bring to the Table

Required

• 8+ years in data and analytics, including ownership of the design of a production warehouse and transformation layer, not only work within someone else's.
• Expert SQL and production Python - pipelines, model code, and automation that other people depend on.
• A modern transformation framework such as dbt, and the engineering practice that comes with it: version control, testing, code review, and documented lineage.
• Managed a cloud warehouse run in production. BigQuery is ours; Snowflake, Redshift, or Databricks translate.
• Models you've deployed and kept running, including monitoring and retraining.
• Multi-touch attribution you've built and put in front of a media budget, and customer identity resolution across systems that weren't designed to share a customer record.
• Substantive use of AI tooling in your own delivery. Be ready to walk us through something specific you built with it and where you stopped trusting it.
• Effective written communication where an exec can read your recommendation once and act on it.

You'll do well here if...

• You've built new capability and cleaned up what came before it on the same timeline.
• You've built a data layer that an AI or LLM application retrieves from, and you know how that differs from designing for a dashboard.
• You'd rather prototype something in a week and learn from it than scope it for a quarter.
• You're happy owning scope rather than headcount. One person reports to you today, and the team grows with what you build.
• You've held a metric definition against a team that preferred a different number, and kept the working relationship.

Location & Hours

• This role can be based remotely within the United States, or hybrid from the Fort Lauderdale, Dallas, Chicago, or Columbus metro areas.
• Typical hours are 9 AM to 5 PM in your local time zone, Monday through Friday. Possible extended hours during the enrollment period.
• Some travel to our Fort Lauderdale office should be expected for remote-based hires.

Compensation

Base salary: $185,000 to $210,000 annually, plus a 10-20% target bonus. Total target cash compensation of $203,500 to $258,000.

Base reflects market benchmarks for the scope of the role. A metro adjustment applies: Fort Lauderdale and Columbus support the lower end of the band, Dallas the middle, and Chicago the upper end. A fully remote hire is placed against a single national band.

Benefits

• Competitive compensation
• 20 days PTO accrued per calendar year
• Company-sponsored health, dental, and vision insurance after a 3-month probationary period (optional)
• 401(k) + matching after a 3-month probationary period (optional)
• Great career development opportunities
• Weekly team lunches

The Interview Process

Screen: Phone screen with our HR department.

Round 1: Interview with the hiring manager and technical stakeholders.

Round 2: Final round, conducted in person at our Columbus, OH or Fort Lauderdale, FL office.

References and background check, followed by an offer.

How We Hire

Fuego Leads is committed to a fair and equitable hiring process for all candidates. To ensure that each candidate's journey is consistent and the selection process is unbiased, the team at Fuego Leads will not be responding to any personal messages regarding this role or other opportunities.