[Hiring] Director, Data & Analytics @Hire Tomorrow

Role Description

We are looking for a Director, Data & Analytics to build the Company's data and analytics practice from the ground up. You will own the full stack, from the pipelines and the warehouse through to the dashboards people use to make decisions. Your role is to give the Company fast, reliable numbers and a platform the whole company can build on.

You will run a small team, a Data Engineer and an Analytics Engineer, and stay close enough to the work to make the decisions on architecture and tooling. This is a player-coach role: you lead the team and you also do the work.

You will not be starting from scratch. We already have an outside partner building parts of the platform, and you will own that relationship. Much of the early work is directing that partner, treating them as an extension of your team, and bringing the knowledge back in-house as you go. We are not looking to replace them. We want the understanding and the ownership to live inside the Company, so the partner remains a choice and not a dependency.

Because the function is new, you will decide how it runs rather than inherit an existing setup. It is a greenfield role, so expect some ambiguity and considerable room to shape the function. What is not flexible is how we treat the data. The Company works in behavioral health, so the numbers you build help treatment centers care for real people. Privacy and strong governance are part of the work from the start.

Responsibilities

• Build & Lead the Team
  • Lead and grow the data and analytics engineering team.
  • Set the standard for rigor and data-driven decisions, and hold the team to it.
  • Build the capacity and process that scale as the company grows.
• Data Platform & Architecture
  • Own the design and build of the Company's data platform: the warehouse, the ingestion pipelines, and the transformation layers. The platform runs on Databricks and Azure.
  • Set the standards for data modeling, pipeline reliability, and data quality.
  • Make the decisions on the data stack: ELT, transformation, orchestration, and observability.
  • Partner with Engineering and Business Systems on data contracts and source-system quality.
• Own the Partner Relationship
  • Own the relationship with our outside data partner and everything they deliver.
  • Direct and delegate to the partner as an extension of the team, and hold their work to the same standard as internal work.
  • Understand how everything they build works, so the Company can run, support, and extend it independently.
  • Bring knowledge and ownership in-house over time, so the platform does not depend on any single outside firm. We continue to use the partner by choice, not necessity.
• Analytics & Insight
  • Build the analytics and reporting layer that every team relies on, in Power BI.
  • Turn business questions into clear dashboards and analysis that teams rely on.
  • Move teams to self-serve analytics so they can answer their own questions directly.
• Data Governance & Quality
  • Set and enforce governance: definitions, ownership, lineage, and access controls.
  • Build the data quality framework so the business trusts the numbers.
  • Meet HIPAA requirements for how the platform handles data: access controls, audit trails, and least-privilege access.
• Stakeholder Partnership
  • Be the person leadership turns to for what the data says and what it means.
  • Translate an unstructured business question into a clear analytical answer, then translate the answer back into plain language.
  • Make data accessible across the company, so teams can find answers themselves.

Qualifications

• 8+ years in data and analytics, with 3+ years leading a data or analytics team.
• You have designed and operated a modern data platform from ingestion through reporting.
• Strong SQL and hands-on data modeling. You have built a warehouse and the dimensional models beneath it.
• Strong command of ELT, orchestration, and pipeline reliability.
• You have owned a BI and visualization layer and driven its adoption across teams.

Requirements

• Strongly Preferred
  • Databricks and Azure, where our platform runs.
  • Power BI, our reporting tool.
  • dbt or similar transformation tooling.
• Nice to Have
  • SaaS or high-growth company experience.
  • Healthcare or behavioral health, where HIPAA and PHI shape how you handle data.

Mindset & Skills

• Systems thinker. You see how data and decisions connect across the business.
• You ask what the data actually says before accepting the prevailing assumption.
• Fluent in both business and technology. You can work in a pipeline and present to the executive team in the same day.
• High emotional intelligence. You build trust with skeptical stakeholders and earn it through accuracy and consistency. You can hold the conversation where the data contradicts someone’s instinct without damaging the relationship.
• You manage outside partners well. You direct them, hold them accountable, and learn from them rather than ceding control.
• Player-coach. You run the team and still do the work.