Director, Data Architecture & Engineering at Zing Health

, Illinois, United States -

Full Time

Start Date

Immediate

Expiry Date

25 Sep, 26

Salary

200000.0

Posted On

27 Jun, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Architecture, Data Engineering, Data Governance, Microsoft Fabric, Azure Data Factory, Azure Data Services, ETL/ELT Pipelines, SQL Server, Power BI, Healthcare Data Modeling, Strategic Leadership, Semantic Layer Design, Metadata Management, AI Enablement, Offshore Team Management, Data Quality Standards

Industry

Hospitals and Health Care

Description

Description COMPANY OVERVIEW Zing Health is a tech-enabled insurance company making Medicare Advantage the best it can be for those 65-and-over. Zing Health has a community-based approach that recognizes the importance of the social determinants of health in keeping individuals and communities healthy. Zing Health aims to return the physician and the member to the center of the health care equation. Members receive individualized assistance to make their transition to Zing Health as easy as possible. Zing Health offers members the ability to personalize their plans, access to facilities designed to help them better meet their healthcare needs and a dedicated care team. For more information on Zing Health, visit www.myzinghealth.com. SUMMARY DESCRIPTION: Zing Health is seeking a strategic and hands-on Director of Data Architecture & Engineering to lead the evolution of our enterprise data platform and data management capabilities. This is a player-coach leadership role (approximately 40% strategy and leadership, 60% hands-on architecture and design) responsible for modernizing our data platform using Microsoft Fabric, Azure Data Factory, and Azure data services; enabling data governance and quality standards; and creating a trusted, AI-ready single source of truth for the organization. Partner with Analytics & Reporting to maintain the enterprise semantic layer, certified data products, and governed business definitions. Serve as the technical owner of the enterprise data platform and semantic architecture while participating in a cross-functional governance process that establishes and ratifies canonical business definitions across the organization. Success in this role requires a unique combination of technical depth, strategic thinking, operational discipline, and delivery accountability. The ideal candidate is equally comfortable defining enterprise architecture, mentoring engineering teams, and driving execution of complex data initiatives that deliver measurable business outcomes. ESSENTIAL FUNCTIONS: Data Strategy & Governance: Establish and maintain foundational data management capabilities, including the enterprise data dictionary, business glossary, metadata catalog, data lineage, and data quality standards. Lead data governance programs, stewardship models, and engineering best practices that enable consistent business definitions, certified data products, and a single source of truth across the organization. Platform Modernization: Lead the migration of legacy data integration and warehouse solutions (e.g., SSIS, SQL Server) into a modernized ecosystem utilizing Azure Data Services and Microsoft Fabric. Ensure platform scalability, reliability, and performance. Data Products & AI Enablement: Partner closely with Analytics & Reporting, business stakeholders, and the enterprise data governance forum to define and ratify canonical business definitions, semantic models, and data quality rules. Establish trusted, governed, and reusable data assets that enable a single source of truth for operational reporting, advanced analytics, generative AI, intelligent automation, machine learning, and future AI-driven initiatives. Engineering Leadership: Lead, mentor, and establish accountability metrics for distributed onshore and offshore data engineering teams. Actively participate in technical design, architecture reviews, and complex problem resolution. Own delivery outcomes for data modernization, platform engineering, and strategic data initiatives, ensuring commitments are delivered with quality, predictability, and business value. What We're Looking For We are seeking a growth-oriented leader who combines strong technical depth, business acumen, and execution capability. Success in this role requires: Versatility: Comfort operating across all levels—partnering with executive leadership on strategy while remaining hands-on with engineering teams and technical decision-making. Operational Discipline: Strong ownership, delivery accountability, and a deep commitment to data quality, governance, and continuous improvement. Adaptability: The ability to balance strategy, execution, and hands-on problem solving in a fast-paced environment. Requirements QUALIFICATIONS AND REQUIREMENTS: JOB REQUIREMENTS: Required Qualifications Experience: 10+ years in data architecture, data engineering, or data management, with 5+ years of leadership experience managing technical teams and enterprise initiatives. Experience in enabling Data Governance for an Enterprise is a must. Healthcare Domain: Required experience within Managed Care, Health Plans (Medicare Advantage preferred), Healthcare Technology, or Provider organizations. Strong familiarity with healthcare data models and interoperability standards (e.g., EDI/X12, FHIR, APIs). Strong understanding of healthcare data and data quality controls. Cloud & Data Warehousing: Proven track record designing enterprise data warehouses, dimensional and operational data models, and building ETL/ELT pipelines using Azure Data Services. Modern Stack Exposure: Strong experience with Microsoft SQL Server and Power BI Semantic Models. Experience with AI design with—or a clear roadmap strategy for migrating legacy pipelines into—Microsoft Fabric is highly desirable. Experience integrating and managing data across enterprise healthcare platforms including Salesforce, FHIR APIs, operational systems, and cloud-based data ecosystems. Operational Skills: Demonstrated experience leading distributed onshore/offshore teams and executing data governance/quality frameworks. Excellent communication skills to translate technical infrastructure into business outcomes. Preferred Qualifications Medicare Advantage experience, including support for Quality, Stars, Risk Adjustment, Value-Based Care, Claims, Enrollment, or Provider operations. Experience enabling AI initiatives, including building data foundations, semantic layers, and governed data products that support machine learning, generative AI, intelligent automation, and self-service analytics. Member-centric Impact Statement: Delivers AI-driven, secure digital experiences that enhance member satisfaction, make Zing easy to work with for providers and partners, and drive productivity and cost efficiency through automation and data insights. Zing Health offers the following benefits: A competitive salary based on the market Medical, Dental, and Vision Employer-Paid Life Insurance Paid Maternal Leave Paid Paternal Leave 401(K) match up to 4% Paid-Time-Off Employee Assistance Programs Several supplemental benefits are available, including, but not limited to, Spouse Insurance, Pet Insurance, Critical Illness coverage, ID Protection, etc.

Responsibilities

Lead the modernization of the enterprise data platform using Microsoft Fabric and Azure services to create an AI-ready single source of truth. Manage data governance, semantic architecture, and lead distributed engineering teams to deliver scalable data products.