Senior Director, Data Architecture

🔥 1 minute ago

🏈 Alabama, Florida, +26 more states – Remote

🏈 Alabama – Remote 🐊 Florida – Remote 🌽 Illinois – Remote 🌾 Iowa – Remote 🌪️ Kansas – Remote 🐎 Kentucky – Remote ⚜️ Louisiana – Remote 🦞 Maine – Remote 🌾 Nebraska – Remote 🗻 New Hampshire – Remote 🌲 North Carolina – Remote 🏈 Ohio – Remote 🌪️ Oklahoma – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote ❄️ Minnesota – Remote 🎸 Mississippi – Remote 🏰 Missouri – Remote 🔔 Pennsylvania – Remote ⚓ Rhode Island – Remote 🌴 South Carolina – Remote 🗿 South Dakota – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote 🍁 Vermont – Remote ⚔️ Virginia – Remote ⛰️ West Virginia – Remote 🧀 Wisconsin – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

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Revecore

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🏥 Healthcare

☁️ SaaS

🤝 B2B

Healthcare • SaaS • B2B

Revecore is a healthcare revenue recovery company that combines proprietary AI, claims intelligence, workflow automation, and clinical, legal, and reimbursement expertise to identify and recover missed revenue for hospitals and health systems. Their ReClaim™ platform and network intelligence use machine-learning models and payor rule engines trained on hundreds of millions of claims to automate decisioning, prioritize recoveries, manage complex claims (VA, auto accidents, workers' compensation, Medicaid), denials management, underpayment recovery, and accounts receivable acceleration. Revecore operates HIPAA-compliant, SOC 2-certified infrastructure and serves over 1,300 hospitals, emphasizing outcomes like increased reimbursement, faster reimbursement, and high denial overturn rates.

📋 Description

• Establish and drive adoption of enterprise data standards covering naming conventions, business and technical metadata, data quality rules, and reporting definitions across Snowflake • Select, implement, or extend a data catalog with ownership, definitions, sensitivity classifications, and usage guidance for core data assets • Develop a shared healthcare-context ontology and enterprise data dictionary reconciling definitions across Customer Success, Finance, Data Science, Engineering, and Operations • Define and implement data lineage standards tracing metrics and fields from source to consumption • Partner with embedded analytics teams to align reporting definitions and develop certified reports and semantic models • Serve as enterprise data architect for Snowflake data modeling, organization, governance, schema design, domain modeling, and platform architecture • Translate between business concepts and data models • Establish decision rights, change-management processes, governance forums, and a data council • Report to the SVP of AI, Data & Data Science • Operate as the senior-most technical authority on enterprise data standards, taxonomy, and governance • Deliver an adopted enterprise data dictionary and ontology • Build and maintain a live catalog covering high-value Snowflake datasets • Document lineage for key reporting metrics • Reduce duplicate or conflicting reports and metric definitions • Establish durable governance with active stakeholder participation

🎯 Requirements

• Must reside in the United States within one of the listed eligible states • 10+ years in data architecture, data management, or enterprise data roles • Direct, hands-on experience building or scaling data catalogs, data dictionaries, taxonomies, or ontologies across a complex organization • Hands-on experience with Snowflake or a comparable cloud data warehouse, including data modeling, schema design, and architecture tradeoffs • Direct experience with data cataloging and metadata management tools such as Snowflake Horizon, Collibra, Alation, Atlan, DataHub, or Purview • Experience integrating legacy data sources such as RDBMS and with lineage tooling and practices • Track record aligning functions with different vocabularies and incentives • Strong written and verbal communication skills and ability to facilitate stakeholder consensus • Healthcare domain experience, ideally in healthcare revenue cycle, payer/provider, or patient financial services • Solid data modeling fundamentals, including dimensional modeling, entity-relationship modeling, and semantic layers • Familiarity with modern data stack components, including ELT/ETL, orchestration, and BI/semantic tools such as dbt, Looker, Power BI, or Tableau • Senior individual-contributor experience representing data architecture in leadership forums • Employment eligibility in the United States • Successful employment-history verification and background check • No current or future need for work sponsorship in the United States • Knowledge of data governance frameworks such as DAMA-DMBOK and formal data stewardship programs is nice to have • Familiarity with healthcare data standards such as X12, HL7/FHIR, CPT/ICD coding, and HIPAA is nice to have • Experience with ontology or knowledge-graph approaches supporting AI and data science is nice to have

🏖️ Benefits

• Remote work from home • Quiet, distraction-free home workspace • Secure internet connection • Home internet speeds greater than 20 Mbps download and 10 Mbps upload • Workspace accommodating workstation equipment and related materials • Equal employment opportunity workplace