Product Manager, Data & Analytics

About Removery

Join us at Removery - the global leader in laser tattoo removal. We aim to normalize tattoo removal and empower people to feel comfortable in their skin. We provide the highest quality of service and care at every stage of our clients’ removal or fading journeys.

Austin, TX | Full Time

We are seeking a Product Manager, Data & Analytics to treat internal reporting and analytics as a product with real customers: operations, marketing, finance, and the leadership team. A substantial Power BI footprint carries that weight today, and it has taken us a long way — but the next stage of our growth deserves a deliberate decision about what our analytics platform should become, and that decision has not been made yet.

You will keep the current stack healthy and trusted while you build the case for what comes next — and then you will lead the execution, not hand off a slide deck. You will also stand up real product and customer-journey analytics, partnering with Engineering to instrument our digital products so we can answer funnel, retention, and behavior questions without a data engineering ticket every time.

If you want clean greenfield, this is not it. If you want to own the decision that sets how a whole company measures itself, it is. You will lead a dedicated, long-tenured nearshore pod of engineers and analysts rather than a rotating bench - real leadership without a large org chart, where your judgment is spent on the product and the people who depend on it.

• Own the existing reporting portfolio end to end: what exists, who uses it, what it costs, what it is trusted for, and where it has drifted.
• Take control of the request queue. Establish intake, prioritization, and — critically — a sunset process for reports that are not earning their keep.
• Own the reliability basics: refresh health, data freshness expectations, workspace and access hygiene, and clear metric definitions people can point to.
• Keep stakeholders confident through a transition. Nothing about a future migration excuses today's numbers being late or wrong.

• Lead the evaluation: BI and semantic layer, warehouse and modeling approach, product analytics, embedded or customer-facing reporting, and where AI-assisted querying genuinely helps versus where it is a demo.
• Build the recommendation — architecture, vendors, cost, migration path, risks, and what we stop doing — and get it approved.
• Define the metric layer that outlives any tool choice: canonical definitions, named owners, and a source of truth people trust more than their own spreadsheet.

• Stand up real product and customer-journey analytics. Design the event taxonomy and tracking plan, then hold the line on it as new surfaces ship.
• Partner with Engineering to instrument our digital products so we can answer funnel, retention, and behavior questions without a data engineering ticket every time.

• Run the roadmap: discovery with real users, written specs, prioritization you can defend, and delivery in increments that ship value along the way.
• Work directly with data engineering, analysts, and application engineers as a partner who writes clear requirements and makes tradeoffs — not a ticket router.
• Manage the migration as a program: sequencing, parallel-run periods, validation, cutover, decommissioning, and change management for the many people whose daily habits you are changing.
• Report on your own impact: adoption, time-to-answer, decisions enabled, and cost per report — not dashboards delivered.

• Ability to work in office 4+ days a week, in Austin, TX.
• 5+ years in…