Product Manager – Specialty Solutions

This is a fully remote position, open to applicants in United States.

📋 Description

• Define, take ownership of, and approve the strategy, standards, decision framework, and roadmap for enterprise data architecture.

• Hold the authority for architectural approval over enterprise data designs.

• Lead the creation of enterprise conceptual, logical, and physical models across various domains, including clinical, patient, provider, encounter/visit, payer, financial, operational, and workforce.

• Establish architecture standards for Bronze and Silver layers, encompassing schema, naming conventions, change-data-capture, audit metadata, retention, and requirements for handling PHI.

• Take responsibility for data quality and validation concerning enterprise data products.

• Oversee Data Quality Analysts and MDM Data Stewards.

• Model conformed Silver-layer entities, addressing grain, keys, relationships, history, effective dating, canonical structures, and reconciliation.

• Lead, mentor, and develop Technical Data Analysts and enterprise data modelers.

• Integrate Technical Data Analysts into domain data-product teams from the discovery phase through validation and consumer acceptance.

• Collaborate with Enterprise Analytics and functional analytics teams to address analytical use cases and metric requirements.

• Convert analytical use cases into actionable Silver-layer designs, mappings, conformance rules, transformations, and acceptance criteria.

• Work alongside Data Engineers on source discovery, technical feasibility, physical implementations, performance, and operational aspects.

• Validate implemented Silver-layer products against approved designs and analytical use cases.

• Set standards for documentation, metadata, lineage, traceability, reconciliation, and known-use limitations.

• Approve modifications to enterprise data models and conduct formal architecture reviews for significant changes.

• Define the technical architecture for master and reference data.

• Establish interim decision-making and stewardship processes until formal Data Governance is in place.

• Partner with Data Platform Engineering on Snowflake, dbt, CI/CD, environments, observability, access control, and reusable frameworks.

• Measure and enhance model reuse, analytical fitness, design-cycle duration, 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.

• Over 10 years of progressive experience in data architecture, enterprise data modeling, data warehousing, technical data analysis, or enterprise information management.

• More than 10 years of experience with healthcare data.

• At least 5 years of experience leading and managing teams in data architecture, data governance, or data management.

• Extensive expertise in conceptual, logical, and physical data modeling, as well as 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.

• In-depth experience with source-system discovery, data profiling, source-to-target mapping, transformation requirements, reconciliation, and implementation acceptance criteria.

• Experience collaborating with Data Engineering teams responsible for cloud data-warehouse pipelines.

• Strong working knowledge of cloud data platforms such as Snowflake, Redshift, or Databricks.

• Familiarity with transformation frameworks like dbt.

• Experience in 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 suitable for both technical and analytical audiences.

• Legally authorized to work in the United States.

• Preferred: experience with Redshift-to-Snowflake migration or other platform modernization efforts.

• Preferred: experience organizing delivery around business domains or data products.

• Preferred: experience leading architecture or modeling chapters.

• Preferred: experience in regulated healthcare settings supporting HIPAA, HITRUST, or similar requirements.

• Preferred: knowledge in identity resolution, master/reference-data architecture, semantic layers, interoperability standards, or AI-ready data foundations.

• Preferred: hands-on modeling experience during initial function build-out.

• Ability to sit, stand, bend, talk, hear, and walk; capacity to lift or move objects weighing up to 25 pounds.

🏝️ Benefits

• Medical, dental, vision, AD&D, short-term disability, long-term disability, and life insurance.

• 401k retirement savings plan with employer match.

• Paid parental leave.

• Paid time off.

• Holiday pay.

• Employee Assistance Program.

• Competitive bonus plan.

• Reasonable accommodation for individuals with disabilities.