Head of Technical Product Management

🕒 il y a 9 jours

🍂 Massachusetts – Distant

🍂 Massachusetts – Remote

⏰ Temps Plein

🔴 Expert

✅ Responsable Produit

🦅 Parrain de Visa H1B

Cette entreprise a parrainé des visas H1B par le passé.

👻 Score fantôme 11%

Ce que ça veut dire : la probabilité que personne ne recrute vraiment pour cette offre.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Pourquoi ce score :

• Ouverte depuis 9 jours.
• Les offres de cette entreprise sont généralement pourvues en 21 jours.
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Abacus Insights

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51 - 200 employés

🏥 Santé

💼 Conseil

📦 Logistique

Healthcare • Consulting • Logistics

Abacus Insights est un leader dans les solutions de données pour les régimes de santé qui habilitent les payeurs de soins de santé en leur fournissant des données utilisables et interopérables. L'entreprise propose une suite complète de solutions de données conçues pour répondre aux mandats gouvernementaux complexes et améliorer la préparation des payeurs. La plateforme d'Abacus Insights est capable de consolider et de normaliser des sources de données variées en dossiers patients complets, garantissant l'exactitude des données et facilitant des mises à jour de données en temps opportun. Leurs solutions soutiennent de nombreux cas d'utilisation, y compris l'ajustement des risques, l'échange de données cliniques, la gestion des coûts et la production de rapports de performance. Avec un accent sur la technologie et les soins de santé, Abacus Insights aide les payeurs à gérer les coûts et à améliorer les expériences des membres grâce à des capacités améliorées de gestion des données.

Description

• Define and evangelize the multi-year technical product strategy and roadmap for the cloud-native data platform and AI/ML infrastructure • Own the technical product portfolio spanning FHIR, HL7, claims and EHR data ingestion, Lakehouse architecture, Databricks, and AI/ML tooling and infrastructure • Make investment, sequencing, and build-versus-buy-versus-partner decisions with Engineering leadership • Own platform adoption, reliability, performance, unit economics, cloud costs, and FinOps outcomes • Establish and report executive-level KPIs including platform and application adoption, DORA metrics, data product SLAs, FinOps, and ROI • Set technical direction for AWS, Azure, GCP, distributed systems, APIs, and AI infrastructure • Establish standards for data quality, AI governance, HIPAA/HITRUST compliance, authentication/authorization, federation, and observability • Champion Responsible AI, including AI gateways, evaluations, traces, drift detection, bias mitigation, FinOps, and clinical validation • Drive an Agentic Driven Development operating model • Lead complex cross-functional initiatives from conception to production and manage dependencies, risk, and technical debt • Serve as technical voice with enterprise health plan customers and strategic technology partners • Partner with Sales, Marketing, and Client Success on go-to-market, pricing, packaging, briefings, and new data products and AI capabilities • Lead, coach, and develop Directors and Technical Product Managers; own talent strategy, succession, organizational design, hiring standards, leveling, career ladders, planning, reviews, and operating rhythm • Report to the CTO and lead the technical product management function within Engineering

🎯 Exigences

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related technical field • 15+ years of technical product management experience, including 6+ years leading platform, cloud, SaaS, or Data/AI infrastructure products at scale • 8+ years of people leadership, including experience leading managers and building high-performing technical product management organizations • Experience working with product engineering teams that ship platform software, with a focus on delivery quality and velocity, such as DORA metrics • Experience building or scaling a technical product management function within an Engineering organization, including hiring, leveling, operating model, and career framework • Demonstrated executive presence and a track record of influencing senior and executive leaders and owning a technical product portfolio's strategy and outcomes • Strong working knowledge of modern cloud data stacks, including Databricks and Snowflake, and data engineering best practices • Experience delivering ML and/or Generative AI solutions, with familiarity with Agentic Driven Development practices and AI evaluation and governance frameworks • Working knowledge of healthcare data standards and taxonomies, including FHIR, HL7, ICD-10, and claims data, and regulatory environments including HIPAA and HITRUST • Proven ability to make architectural and investment trade-offs and articulate them to engineers and executives • Exceptional storytelling, negotiation, and stakeholder management skills • Current authorization to work in the United States without employer sponsorship • Hands-on coding proficiency in Python and/or SQL, direct health insurance/provider enterprise software commercialization experience, and strategic partnerships/M&A/platform ecosystem experience are not required

🏖️ Avantages

• Unlimited paid time off • Work from anywhere • Comprehensive health coverage with multiple plan options • Equity for every employee • Growth-focused environment and development opportunities • Home office setup allowance • Monthly cell phone allowance • Performance bonus eligibility • Equity grants

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