Senior Director, Data Architecture

Start your next chapter at Revecore! For over 25 years, we’ve been at the forefront of specialized claims management, helping healthcare providers recover meaningful revenue to enhance quality patient care in their communities. We’re powered by people, driven by technology, and dedicated to our clients and employees.

As part of our team, you’ll be rewarded with:

• Comprehensive medical, dental, vision, and life insurance benefits from the start of your employment
• 12 paid holidays and flexible paid time off
• 401(k) contributions
• Employee Resource Groups that build community

Location:
Remote–USA

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.

• 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.

• 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, Data Hub , Purview) and , integration of legacy data…