Senior Director, Data Architecture

Revecore; United States; On-site; USD 180,000 - 230,000; Full time

Job summary

Revecore is seeking a Senior Director of Enterprise Data Architecture & Standards to unify data definitions, lineage, and governance across the enterprise. You will operate hands-on in Snowflake, shape the data catalog, and drive a common data language for finance, Data Science, engineering, and operations.

The role emphasizes architecture leadership without people management, reporting to the SVP of AI, Data & Data Science, and collaborating with stakeholders to establish a single source of

Qualifications

• 10+ years in data architecture or enterprise data roles with hands-on work.
• Experience building data catalogs, data dictionaries, taxonomies, or ontologies.
• Deep Snowflake experience plus data modeling and schema design.
• Proven ability to align diverse functions through influence and clear communication.
• Healthcare revenue cycle or patient financial data domain familiarity.

Responsibilities

• Establish enterprise data standards across naming, metadata, data quality, and reporting in Snowflake.
• Build and own a data catalog with clear ownership and usage guidance.
• Define a common healthcare-grounded language and ontology for core entities.
• Establish data lineage and reporting standards with cross-functional teams.
• Architect hands-on as a senior IC, collaborating with engineering on model design.
• Drive governance and decision rights through a data council and cross-functional forums.

Skills

Data architecture

Data management

Enterprise data governance

Stakeholder alignment

Hands-on IC architect

Healthcare data concepts

Communication skills

Tools

Snowflake

Snowflake Horizon

Collibra

Alation

Atlan

DataHub

Purview

dbt

Looker

Power BI

Tableau

Job description

At Revecore, our work helps hospitals recover the revenue they've earned so they can continue serving patients and communities. Trusted by more than 1,300 hospitals across 48 states, we combine specialized expertise with proprietary technology to solve problems others can’t. Just as importantly, we’ve built a workplace where people support one another, embrace innovation, and are trusted to do their best work.

We are hiring a Senior Director of Enterprise Data Architecture & Standards to bring order and shared meaning to data that today lives across Customer Success, Finance, Data Science, Engineering, and Operations. With most of our enterprise data now consolidated in Snowflake, the opportunity — and the challenge — is no longer access to data, but agreement on what it means. This role owns that problem end to end: establishing enterprise data standards, a data catalog, and a business ontology so that every team, from an embedded analyst in Finance to a data scientist modeling patient financial outcomes, is working from the same definitions, the same lineage, and the same source of truth.

This is a hands-on architecture role, not a management position. You will spend most of your time in Snowflake, in data models, in cataloging tools, and in working sessions with stakeholders — not building a team beneath you. You will report to the SVP of AI, Data & Data Science and operate as the senior-most technical authority on data standards, taxonomy, and governance across the enterprise.

What You’ll Do

• Establish enterprise data standards — Design and drive adoption of an enterprise data standards program covering naming conventions, business/technical metadata, data quality rules, and reporting definitions across the Snowflake data warehouse.

• Build and own the data catalog — Select, implement, or extend a data catalog that makes data discoverable and trustworthy, with clear ownership, definitions, sensitivity classifications, and usage guidance for every core data asset.

• Define a common language, grounded in healthcare context — Develop a shared ontology and enterprise data dictionary that reconciles how Customer Success, Finance, Data Science, Engineering, and Operations each define core entities and metrics (e.g., \"claim,\" \"account,\" \"client,\" \"revenue recognized\"), applying working knowledge of healthcare revenue cycle, claims, patient financial, and provider/payer data to ensure definitions reflect the realities of the business.

• Establish lineage and reporting standards — Define and implement data lineage standards so any consumer can trace a metric or field from source to consumption, while partnering with embedded analytics teams in Data Science, Operations, and Finance to align reporting definitions and move toward a single set of certified reports and semantic models.

• Architect hands-on — Serve as the enterprise data architect for how data is modeled, organized, and governed within Snowflake, working directly alongside data engineering on schema design, domain modeling, and platform architecture decisions.

• Drive cross-functional alignment and sustainable governance — Act as the connective tissue between technical teams and business stakeholders, translating between business concepts and data models, and establishing decision rights, change-management processes, and governance forums (e.g., a data council) so standards remain living, adopted practices.

What You Bring

• 10+ years in data architecture, data management, or enterprise data roles, including direct, hands-on experience building or scaling data catalogs, data dictionaries, taxonomies, or ontologies across a complex organization.

• Deep hands-on platform and tooling experience — Snowflake (or a comparable cloud data warehouse) including data modeling, schema design, and architecture tradeoffs, plus direct experience with data cataloging/metadata management tools (e.g., Snowflake Horizon, Collibra, Alation, Atlan, DataHub, Purview) and, integration of legacy data sources (e.g. RDBMS) lineage tooling and practices.

• Proven ability to build enterprise-wide agreement through influence — a track record of aligning functions with genuinely different vocabularies and incentives (Finance, Data Science, Operations, Customer Success, Engineering), backed by strong written and verbal communication skills and the ability to facilitate consensus among stakeholders who don’t naturally agree.

• Healthcare domain experience — ideally within the healthcare revenue cycle, payer/provider, or patient financial services lifecycle, with comfort in clinical, claims, or billing data concepts.

• Strong technical foundations as a senior IC architect — solid data modeling fundamentals (dimensional modeling, entity-relationship modeling, semantic layers), familiarity with modern data stack components (ELT/ETL, orchestration, BI/semantic tools like dbt, Looker, Power BI, or Tableau), and a track record operating hands-on at a senior individual-contributor level while also representing data architecture in leadership forums.

Nice to Have

• Experience with data governance frameworks (e.g., DAMA-DMBOK) and formal data stewardship programs.

• Familiarity with healthcare data standards (e.g., X12, HL7/FHIR, CPT/ICD coding) and regulatory considerations (HIPAA) as they relate to data classification and access.

• Experience introducing or scaling ontology/knowledge-graph approaches to support AI and data science initiatives.

What Success Looks Like

• Common definitions, one source of truth — A published, adopted enterprise data dictionary