Senior Integration Analyst

LifeStance Health

1d•$120,000 - $147,000•Remote

About The Position

The Sr. Data Integration Analyst serves as the authoritative leader for data integration and standardization across the Enterprise Data Platform, driving enterprise-wide consistency, governance, and adoption of data integration best practices. The role independently leads integration analysis initiatives by defining source-to-target mapping strategies, establishing complex data transformation requirements, and providing architectural direction for Silver Medallion layer design. The analyst advises business and technical stakeholders and supports delivery of trusted, scalable, business-ready data products aligned with enterprise objectives. The position owns business glossary terms for data domains in the Silver Medallion layer, data quality standards, lineage context, stewardship processes, and related governance artifacts in Snowflake Horizon Catalog. It leads identity resolution and match stewardship, cross-system analysis, data-quality validation, issue management, root-cause investigations, and remediation planning in collaboration with Data Engineering and DataOps. Compensation is $120,000–$147,000 annually, in addition to a competitive bonus plan.

Requirements

Bachelor's degree in Computer Information Systems, Management Information Systems, Computer Science, Data Analytics, or a related field, or equivalent relevant experience.
8+ years of data analysis experience, including 3 years in healthcare data analysis or health information management (HIM).
Working knowledge of healthcare patient and provider data structures and workflows.
Proficient SQL skills and ability to independently query Snowflake to investigate identity issues, validate global ID assignments, profile defects, and verify remediation.
Experience defining data quality rules, managing issue backlogs, conducting root-cause analysis, and communicating trends and business impact to technical and non-technical stakeholders.
Understanding of HIPAA privacy and security requirements as applied to identity data, access, auditability, and merge/unmerge operations.
Demonstrated ability to document standards, facilitate cross-functional decisions, train operational users, and communicate data quality findings to non-technical leaders.
Must be legally authorized to be employed in the United States.

Nice To Haves

Experience with AthenaOne is strongly preferred.
Familiarity with Salesforce provider credentialing and Workday as provider data sources.
Experience with Snowflake Horizon Catalog or another enterprise data catalog or governance platform, including business glossary, ownership, quality, and lineage documentation.
Experience reading data models, interpreting automated test results, and working within medallion or layered data architectures.
Experience in behavioral health, multi-site outpatient practice, or another complex healthcare delivery environment.
Familiarity with referential, probabilistic, and deterministic matching methods and their operational tradeoffs.
Experience producing stewardship scorecards and presenting data quality trends to governance or operational leadership.

Responsibilities

Lead enterprise data analysis across multiple source systems to identify data quality risks, establish integration standards, and define source-to-target mapping strategies.
Analyze complex cross-system data relationships and grain challenges; document lineage, define transformation requirements, conduct root-cause assessments, and recommend remediation approaches for Data Engineering.
Own the design, governance, and ongoing evolution of source-to-target mappings for Silver Medallion layer domains, including NPI, taxonomy, licensure, credentialing status, payer enrollment, practice affiliation, and employment attributes.
Maintain metadata and governance assets in Snowflake Horizon Catalog, including business definitions, lineage, mappings, data quality standards, ownership assignments, and critical data element documentation.
Help establish and govern business acceptance criteria for enterprise data products before production release.
Lead validation and certification of critical business identifiers and key data elements across Silver layer datasets; identify risks and defects and drive remediation with Data Engineering and DataOps.
Own governance and issue-management processes for Silver Medallion layer data domains and reference data, including intake, prioritization, impact assessment, remediation guidance, and resolution validation.
Conduct enterprise trend analysis and root-cause investigations across registration, scheduling, provider onboarding, credentialing, HR, and other operational workflows; define corrective actions and influence process and technology improvements.
Own source-to-target mapping specifications, business transformation logic, and end-to-end lineage documentation for Silver Medallion layer and reference data domains.
Act as the primary escalation point and strategic liaison for identity, integration, and data quality incidents; lead impact assessments, define remediation and testing requirements, and oversee controlled solution promotion through release and governance processes.
Document standards, facilitate cross-functional decisions, train operational users, and communicate data quality findings to non-technical leaders.
Regularly sit, stand, bend, talk, and hear; frequently walk; lift and/or move objects up to 25 pounds.