Analytics Architect - Clinical Informatics Job Kirkland area,Washington USA,IT/Tech

Wage Range: $145,808 - $233,293 per year

Posted wage ranges represent the entire range from minimum to maximum. For jobs with more than one level, the posted range reflects the minimum of the lowest level and the maximum of the highest level. Some positions also offer additional premiums based on shift, certifications or degrees. Job offers are determined based on a candidate's years of relevant experience, level of education and internal equity.

We’re seeking an experienced Analytics Architect to help advance enterprise data strategy across Epic and non‑Epic environments.

In this role, you’ll partner with clinical, operational, and IT leaders to design scalable analytics solutions, ensure data integrity, and translate complex workflows into actionable insights while promoting data literacy and self‑service.

This opportunity is ideal for someone who:
Works at the intersection of healthcare, technology, and analytics
Enjoys solving complex data challenges and aligning business and technical needs
Brings strong experience with Epic, SQL, and data visualization tools
Is passionate about mentoring and strengthening analytics practices

If you see yourself in this role, please apply! This is an opportunity to play a meaningful role in shaping how data is used across the organization—partnering with leaders, solving complex challenges, and helping build thoughtful, scalable analytics that support patient care and operations.

Job Summary:

Serves as the technical architect for organizational data, collaborating with leadership to deliver IT/Enterprise analytics solutions. Ensures data accuracy by utilizing strong technical acumen and diagnostic logic to support organizational strategic goals. Works with leadership to ensure that every insight is technically sound, operationally relevant, and strategically aligned.

Partners in data literacy, guiding leaders and staff through complex metric definitions, data quality considerations, and the appropriate interpretation of analytics outputs. Leverages strong healthcare domain knowledge. Ensures precise data solutions by identifying gaps and developing methods which connect operational workflows and technical logic. Independently manages all workstream aspects including technical design, development, and ensures appropriate administrative documentation. Supports and mentors analytics team members by partnering with management to establish standards for documentation, education, and analytical best practices.

Advises stakeholders on the feasibility of requests while ensuring all solutions are pre‑vetted and align with leadership’s strategic roadmap.

Primary Duties:

Collaborates with leadership to determine request feasibility, providing technical acumen to support project triage, scope, and strategic goal setting.

Functions as a technical liaison, negotiating viable alternatives with stakeholders at all levels to ensure solutions are sound, operationally relevant, and align with the enterprise roadmap.

Serves as a primary architect for organizational data, translating complex operational workflows into precise technical specifications.

Performs root‑cause investigations and diagnostic audits to ensure backend logic mirrors frontline clinical and business workflows. For Epic-supported work streams, this requires deep proficiency in Epic workflows, Cogito, Clarity, Radar, and Caboodle, with the ability to map front‑end workflows directly to backend tables.

Serves as the functional Subject Matter Expert (SME) for assigned applications (e.g., Epic, HRIS, Decision Support, etc.), and works with operations to develop robust, scalable analytics solutions.

Provides expert‑level literacy support for complex metrics when standard training is insufficient, guiding consumers through nuanced data interpretation. Leads targeted educational sessions for advanced user groups virtually and in person.

Partners with IT and operational leaders to develop shared business rules and data definitions that eliminate ambiguity. Resolves data discrepancies by investigating the gap between user expectations and system logic, facilitating systemic fixes or governance escalations to maintain Sources of…