Healthcare – Life Sciences Practice Director

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Climb

WebsiteLinkedInAll Job Openings

2 - 10 employees

Founded 2026

💼 Consulting

🏢 Enterprise

☁️ SaaS

Consulting • Enterprise • SaaS

Climb is the Databricks-native Data & AI consultancy that builds production-grade enterprise AI by focusing on the data foundation, outcome-aligned fixed-scope engagements, and senior delivery teams. They offer Databricks Basecamps—guided, time-boxed projects that move AI or data modernization priorities from diagnostic to production in weeks—plus solutions, fixed-price projects, and dedicated teams. Climb emphasizes Databricks engineering, governance (Unity Catalog), migrations, AI/ML, next-gen analytics, and agent deployments, with reusable IP (Climb AI Runtime), senior Databricks-certified staff, and measurable KPIs for each engagement.

📋 Description

• Own the HLS practice P&L: bookings, revenue, and margin, from a standing start to a scaled practice. • Originate and close consulting engagements with HLS buyers across pharma, payer, provider, and med device. You carry the number personally in year one. • Build the Databricks co-sell motion: relationships with HLS field engineering and account teams, joint pursuits, and lighthouse wins that anchor the partnership. • Define and productize the offering portfolio: two to three repeatable HLS offerings (e.g., RWD/RWE platforms, claims and payer analytics, commercial data products, HIPAA- and GxP-aware AI) in the first year. • Lead delivery oversight of early engagements; own quality and client outcomes until the practice can stand on its own. • Build HLS domain IP: accelerators, reference architectures, and regulatory-aware AI patterns (HIPAA, GxP, model risk) that make Climb's delivery repeatable and defensible. • Recruit and develop the founding HLS pod: senior practitioners who match the bar you set. • Represent Climb in the HLS market: thought leadership, industry events, and the executive network that fills the top of the funnel.

🎯 Requirements

• 10+ years in data, analytics, or AI, including commercial consulting experience in healthcare and life sciences within the last five years: you have sold and delivered consulting work to HLS buyers: pharma, payer, provider, or med device. • A revenue or bookings number you owned and can speak to (practice, portfolio, or personal book) and a track record of hitting it. • Practice-building experience: you have launched offerings, hired consultants, and owned margin, whether at a boutique data/AI firm, a Big 4 or Tier 2 HLS analytics practice, or a platform vendor’s HLS field organization. • Deep fluency with HLS data and context: claims, EHR, real-world data, commercial datasets, and the regulatory environment (HIPAA, GxP) that governs them. • Technical credibility on modern data and AI platforms: you can shape an architecture conversation and know when a solution is real. • Executive presence with HLS buyers: chief data, digital, and medical officers, and the commercial and clinical leaders who own AI budgets.

🏖️ Benefits

• Competitive base salary with performance-based bonuses and meaningful equity commensurate with practice ownership • MacBook Pro and swag kit so you can do your best work • Comprehensive health, dental, and vision insurance • Generous holidays, flexible PTO, and remote-first work environment • Professional development budget including Databricks and cloud certifications • Spot bonuses for relevant certifications • Conference attendance and thought leadership opportunities • Collaborative, low-ego culture with direct access to leadership • Opportunity to shape a growing practice from the ground floor