Senior Integration Analyst

BEHAVIORAL HEALTH PRACTICE SERVICES; United States; On-site; USD 120,000 - 147,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

AD&D

Disability insurance

Life insurance

401k with employer match

Parental leave

Paid time off

Holiday pay

Employee Assistance Program

Job summary

LifeStance Health is seeking a Sr. Data Integration Analyst to lead data integration and standardization across the Enterprise Data Platform.

The role defines source-to-target mappings, complex data transformations, and provides architectural direction for Silver Medallion layer design principles. You will steward metadata, governance artifacts, and data quality standards to ensure trusted, scalable data products aligned with enterprise objectives.

Qualifications

• Experience leading data integration analysis across multiple source systems.
• Ability to define source-to-target mappings and data transformation requirements.
• Knowledge of data governance, data quality standards, and lineage concepts.

Responsibilities

• Lead enterprise data analysis initiatives and define mapping strategies.
• Document lineage and transformation requirements for data assets.
• Own governance and mappings for Silver Medallion layer data domains across enterprise systems.
• Coordinate data quality and issue remediation with Data Engineering/DataOps teams.

Skills

Data integration

Data governance

Data modeling

Stakeholder management

Tools

Snowflake Horizon Catalog

Salesforce

Workday

Job description

At LifeStance Health, we strive to help individuals, families, and communities with their mental health needs. Everywhere. Every day. It's a lofty goal; we know. But we make it happen with the best team in mental healthcare.

Thank you for taking the time to explore a career with us. As the fastest growing mental health practice group in the country, now is the perfect time to join our team!

LifeStance Health Values

Belonging: We cultivate a space where everyone can show up as their authentic self.

Empathy: We seek out diverse perspectives and listen to learn without judgment.

Courage: We are all accountable for doing the right thing - even when it's hard - because we know it's worth it.

One Team: We realize our full potential when we work together towards our shared purpose.

Benefits

As a full-time employee of LifeStance Health, the following benefits are offered: medical, dental, vision, AD&D, short and long-term disability, and life insurance. Additional benefits include a 401k retirement savings with employer match, paid parental leave, paid time off, holiday pay and an Employee Assistance Program.

ROLE OVERVIEW

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. This role independently leads data integration analysis initiatives by defining source-to-target mapping strategies, establishing complex data transformation requirements, and providing architectural direction for the implementation of Silver Medallion layer design principles. Acting as a trusted advisor to both business and technical stakeholders, the analyst ensures the delivery of trusted, scalable, and business-ready data products aligned with enterprise objectives. The role also maintains ownership of business glossary terms for all data domains in Silver Medallion layer, data quality standards, data lineage context, stewardship processes, and associated governance artifacts within Snowflake Horizon Catalog, ensuring sustained data transparency, accountability, and operational excellence.

COMPENSATION :

$120,000 - $147,000/annually in addition to a competitive bonus plan

KEY RESPONSIBILITES

Identity Resolution & Match Stewardship (approximately 60%)

• Lead enterprise data analysis initiatives across multiple source systems to proactively identify data quality risks, establish integration standards, and define source-to-target mapping strategies that enable trusted, standardized data domain assets across the Enterprise Data Platform.
• Provide independent leadership in the analysis and resolution of complex cross-system data relationships and grain challenges by documenting lineage, defining transformation requirements, conducting root cause assessments, and recommending strategic remediation approaches for Data Engineering implementation.
• Own the design, governance, and ongoing evolution of source-to-target mappings for Silver Medallion layer data domains, including NPI, taxonomy, licensure, credentialing status, payer enrollment, practice affiliation, and employment attributes across EHR/PM, Salesforce, Workday, and other approved enterprise source systems.
• Serve as the accountable steward for metadata and governance assets within Snowflake Horizon Catalog, establishing and maintaining business definitions, data lineage, source-to-target mappings, data quality standards, ownership assignments, and critical data element documentation to promote enterprise transparency, regulatory compliance, data discoverability, and trusted business-ready data products.

Data Quality, Issue Management & Silver Layer Validation (approximately 40%)

• Participate in establishment and governing business acceptance criteria for enterprise data products, ensuring alignment with data quality standards, governance policies, operational requirements, and strategic business objectives prior to production release.
• Lead the validation and certification of critical business identifiers and key data elements across Silver layer datasets, directing complex data analysis efforts, identifying integration risks and defects, and driving remediation strategies in partnership with Data Engineering and DataOps teams.
• Own the end-to-end governance process for Silver Medallion layer data domains, and reference data integration issues, providing intake leadership, prioritization oversight, impact assessment, remediation guidance, and resolution validation to ensure timely and effective issue management across the enterprise.
• Conduct enterprise-level trend analysis and root cause investigations to identify systemic data quality and integration challenges across registration, scheduling, provider onboarding, credentialing, HR, and other operational workflows; define corrective action requirements and influence long-term process and technology improvements.
• Serve as the