Lead BI Architect, Enterprise Data & Analytics

choa; Atlanta (GA); On-site; USD 120,000 - 180,000; Full time

Job summary

Children’s Healthcare of Atlanta seeks a seasoned BI and Data Warehouse leader to drive the analytics delivery lifecycle across clinical, financial, and operations domains. You will shape data architectures and ensure trusted data assets.

Responsibilities include enterprise data modeling, governance, quality, mentoring analytics teams, and partnering with IT and business stakeholders to translate requirements into scalable analytics solutions that empower decision-making.

Qualifications

• Minimum 12 years in BI, DW, and data engineering in an enterprise IT environment.
• Experience overseeing multiple enterprise data warehouses and data models.
• Strong knowledge of data modeling concepts (star/snowflake) and governance.
• Ability to translate complex requirements into scalable analytics solutions.
• Experience leading cross-functional teams and collaborating with clinicians, IT, and business partners.

Responsibilities

• Lead the Clinical and Enterprise Data Warehouse strategy and delivery.
• Translate requirements into conceptual, logical, and physical data models.
• Provide oversight of analytics solutions ensuring quality, usability, and security.
• Mentor developers and analysts to propagate best practices in data architecture.
• Coordinate vendor/IT activities for upgrades and analytics initiatives.

Skills

Data warehousing

BI leadership

Data governance

Stakeholder management

ETL development

SQL / data modeling

Mentoring

Education

Bachelor's degree in Computer Science, Information Technology, or related field

Tools

Talend

SSIS

SQL Server

Workday

Epic/Cerner

Job description

Children’s Healthcare of Atlanta seeks a seasoned BI and Data Warehouse leader to drive the analytics delivery lifecycle across clinical, financial, and operations domains. You will shape data architectures and ensure trusted data assets.

Responsibilities include enterprise data modeling, governance, quality, mentoring analytics teams, and partnering with IT and business stakeholders to translate requirements into scalable analytics solutions that empower decision-making.