Product Manager – Specialty Solutions

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🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $132.1k - $161.8k / year

⏰ Full Time

🟠 Senior

🔴 Lead

✅ Product Manager

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LifeStance Health

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

💼 Consulting

🛡️ Insurance

🏥 Healthcare

💰 Private Equity Round on 2016-12

Consulting • Insurance • Healthcare

LifeStance Health is a provider of comprehensive mental health services, offering care through in-person and telehealth appointments for various mental health conditions such as anxiety, depression, ADHD, and more. With a large network of licensed clinicians, including psychiatrists, psychologists, and therapists, LifeStance Health tailors care plans to fit individual needs. The company accepts a wide range of insurance plans, making mental health care accessible to a broad audience. Services include therapy, psychiatric evaluations, medication management, and psychological testing across numerous states.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• 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