climb-ai - Healthcare-Life Sciences Practice Director
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. • Experience in the Databricks (or Snowflake) HLS ecosystem: field engineering, partner co-sell, or on-platform delivery. • A current network of HLS buyers and Databricks field contacts who take your calls. • Experience designing AI governance for regulated environments. • Background with PE-backed or growth-stage services firms. • Note on certification: Databricks experience is valued but not required at hire. Both Databricks and Anthropic certification are expected to be obtained post-hire. • You want to build a practice, not inherit one; the blank page excites you more than the org chart. • You sell what you can deliver and deliver what you sold, and your references prove both. • You know healthcare’s constraints are the moat, not the obstacle, and you build for them from day one. • You would rather own a number with equity behind it than manage a pyramid.
Responsibilities
• 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.
Benefits
• Ground floor, real backing. You are joining early, with founders who have built and exited a firm like this before, with a nine-figure outcome. You own the HLS playbook rather than inherit one. • Outcomes, not hours. We sell and deliver against business results. Advancement is tied to delivery performance and account impact, not utilization targets. • Senior team, no body-shop drag. Small pods of A-players, heavy internal AI leverage, and no bloated middle layers between you and the work. • IP that compounds. Every engagement feeds reusable accelerators, patterns, and points of view back into the practice. • Proximity to where decisions get made. Your clients are PE portcos and enterprise leadership teams making AI transformation calls right now. • 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
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