Product Manager – Specialty Solutions

🕒 vor 13 Tagen

🇺🇸 Vereinigte Staaten – Remote

💵 $132.087 - $161.806 / Jahr

⏰ Vollzeit

🟠 Senior

🔴 Experte

✅ Produktmanager

🦅 H1B-Visum-Sponsor

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👻 Geisterscore 21%

infoinfo

🗣️🇺🇸🇬🇧 Englisch erforderlich

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LifeStance Health

5001 - 10000 Mitarbeiter

💼 Beratung

🛡️ Versicherung

🏥 Gesundheitswesen

💰 Private Equity Round im 2016-12

Consulting • Insurance • Healthcare

LifeStance Health ist ein Anbieter umfassender Dienstleistungen im Bereich der psychischen Gesundheit und bietet Betreuung durch persönliche und Telehealth-Termine für verschiedene psychische Erkrankungen wie Angststörungen, Depressionen, ADHS und mehr an. Mit einem großen Netzwerk von lizenzierten Klinikern, einschließlich Psychiatern, Psychologen und Therapeuten, passt LifeStance Health Pflegepläne an individuelle Bedürfnisse an. Das Unternehmen akzeptiert eine Vielzahl von Versicherungsplänen, um psychische Gesundheitsversorgung für ein breites Publikum zugänglich zu machen. Zu den Dienstleistungen gehören Therapie, psychiatrische Bewertungen, Medikamentenmanagement und psychologische Tests in zahlreichen Bundesstaaten.

Beschreibung

• Define, own, and approve the enterprise data-architecture strategy, standards, decision framework, and roadmap • Hold architectural approval authority over enterprise data designs • Lead development of enterprise conceptual, logical, and physical models across clinical, patient, provider, encounter/visit, payer, financial, operational, and workforce domains • Establish Bronze and Silver layer architecture standards, including schema, naming, change-data-capture, audit metadata, retention, and PHI handling requirements • Own data quality and validation for enterprise data products • Direct Data Quality Analysts and MDM Data Stewards • Model conformed Silver-layer entities, including grain, keys, relationships, history, effective dating, canonical structures, and reconciliation • Lead, mentor, and develop Technical Data Analysts and enterprise data modelers • Embed Technical Data Analysts in domain data-product teams from discovery through validation and consumer acceptance • Partner with Enterprise Analytics and functional analytics teams on analytical use cases and metric needs • Translate analytical use cases into implementable Silver-layer designs, mappings, conformance rules, transformations, and acceptance criteria • Partner with Data Engineers on source discovery, technical feasibility, physical implementation, performance, and operations • Validate implemented Silver-layer products against approved designs and analytical use cases • Establish documentation, metadata, lineage, traceability, reconciliation, and known-use limitation standards • Approve changes to enterprise data models and conduct formal architecture reviews for material changes • Define technical architecture for master and reference data • Establish interim model-decision and stewardship mechanisms until formal Data Governance is established • Partner with Data Platform Engineering on Snowflake, dbt, CI/CD, environments, observability, access control, and reusable frameworks • Measure and improve model reuse, analytical fitness, design-cycle time, implementation rework, architectural consistency, and consumer satisfaction

🎯 Anforderungen

• Bachelor’s degree in Computer Science, Information Systems, Data Management, Analytics, or a related field, or equivalent relevant experience • 10+ years of progressive experience in data architecture, enterprise data modeling, data warehousing, technical data analysis, or enterprise information management • 10+ years of healthcare data experience • 5+ years leading and managing data architecture, data governance, or data management teams • Deep expertise in conceptual, logical, and physical data modeling, canonical and conformed data structures, data grain, history, and cross-domain integration • Ability to translate analytical questions and consumption patterns into reusable enterprise data-model designs • Deep experience with source-system discovery, data profiling, source-to-target mapping, transformation requirements, reconciliation, and implementation acceptance criteria • Experience partnering with Data Engineering teams responsible for cloud data-warehouse pipelines • Strong working knowledge of cloud data platforms such as Snowflake, Redshift, or Databricks • Experience with transformation frameworks such as dbt • Experience with healthcare data domains including clinical, patient, provider, encounters/visits, payer, financial, or operational data • Working knowledge of data governance, metadata, lineage, data quality, and master/reference-data practices • Ability to lead through influence across Data Engineering, Enterprise Analytics, business functions, Platform Engineering, and executive stakeholders • Strong facilitation and communication skills for technical and analytical audiences • Legally authorized to be employed in the United States • Preferred: experience with Redshift-to-Snowflake migration or other platform modernization • Preferred: experience organizing delivery around business domains or data products • Preferred: experience leading architecture or modeling chapters • Preferred: regulated healthcare experience supporting HIPAA, HITRUST, or comparable requirements • Preferred: identity resolution, master/reference-data architecture, semantic layers, interoperability standards, or AI-ready data foundations • Preferred: hands-on modeling during initial function build-out • Ability to sit, stand, bend, talk, hear, and walk; ability to lift or move objects up to 25 pounds

🏖️ Vorteile

• Medical, dental, vision, AD&D, short-term disability, long-term disability, and life insurance • 401k retirement savings with employer match • Paid parental leave • Paid time off • Holiday pay • Employee Assistance Program • Competitive bonus plan • Reasonable accommodation for individuals with disabilities

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