Job Description

Manager Analytics Engineering and EDW Architecture
Job Code: 29046
Position Summary
The Manager Analytics Engineering and Data Architecture is a visionary leader responsible for building, mentoring, and directing a high-performing team of Analytics Engineers and a Data Architect. This role drives the strategy, design, and implementation of enterprise-scale data platforms, advanced analytics solutions, and robust data models that power mission-critical, operational, and financial decision-making. The manager ensures the team leverages cutting-edge technologies and best practices in cloud data engineering, data modeling, and analytics, while fostering a culture of innovation, technical excellence, quality of work, and continuous improvement. This position partners with leadership and cross-functional stakeholders to deliver scalable data infrastructure and actionable insights that maximize organizational impact and competitive advantage.
Responsibilities

• Leads, mentors, and develops a team of Analytics Engineers and Data Architects, fostering a collaborative, innovative, and high-performance culture

• Sets the vision and strategy for enterprise data architecture, analytics engineering, and data governance, ensuring alignment with organizational goals and industry best practices

• Oversees the design, development, and optimization of complex data models, ETL/ELT pipelines, and analytics solutions across cloud and on-premises platforms (e.g., Microsoft Fabric, Azure, AWS, Snowflake, and on-prem SQL Servers)

• Champions the adoption of modern data stack tools and frameworks (e.g., Data Factory, Purview for Data Governance, etc.) to enable scalable, automated, and reliable data workflows

• Ensures rigorous testing, monitoring, and validation for data accuracy, quality, and security across all analytics and data engineering initiatives

• Drives the implementation of modern data infrastructure, supporting advanced analytics, machine learning, and self-service BI

• Partners with executive, clinical, operational, and business leaders to translate strategic objectives into actionable data and analytics solutions

• Oversees data governance, compliance, and stewardship, ensuring adherence to regulatory requirements and organizational policies

• Manages project and resource allocation, budgets, and timelines to deliver high-impact analytics and data architecture projects on schedule and within scope

• Stays current on emerging trends, technologies, and best practices in analytics engineering, data architecture, and AI, continuously elevating team capabilities

• Represents the analytics engineering and data architecture function in executive forums, providing thought leadership and strategic guidance

• Relies on experience and judgment to plan and accomplish goals

• Regular and predictable attendance is an essential job function

• Performs other related duties as assigned

• Competent to meet age-specific needs of the unit assigned

Requirements and Minimum Qualifications

• Bachelor's degree in Computer Science, Data Science, Engineering, or a related field required; Master's preferred

• Minimum 5 years of analytics experience required, with at least 3 years focused on advanced SQL code writing and ETL development

• Minimum 10 years of progressive experience in analytics engineering, data architecture, or data engineering

• Minimum 2 years' leadership experience required

• Epic Caboodle and Clarity certification/accreditation required or obtained within 90 days of hire; must remain current in certification thereafter

• At least one additional Epic data model certification/accreditation (Clinical Data Model, Revenue Data Model, Access Data Model, etc.) required

• Demonstrated expertise in advanced SQL, data modeling, ETL/ELT, and cloud data platforms (Microsoft Fabric, Azure, AWS, Snowflake, etc.)

• Experience designing and delivering enterprise-scale data solutions

• Other required system application training/certifications to complete assigned work as necessary

• Exceptional leadership, communication, and stakeholder management skills, with the ability to influence at all levels of the organization

• Comprehensive understanding of healthcare data, regulatory requirements, and best practices in data governance and security

• Experience managing budgets, project portfolios, and cross-functional teams in a fast-paced, high-growth environment

Working Conditions

• Must be able to lift and move up to 10 lbs

• Must be able to reach arms above or below shoulder height

• Must be able to maintain a sitting position

• Typical equipment used in an office job

• Repetitive movements

Skills Required