Enterprise Data Architect

Who we are:

At CitiusTech, we constantly strive to solve the industry's greatest challenges with technology, creativity, and agility. With over 8,500 healthcare technology professionals worldwide, CitiusTech powers healthcare digital innovation, business transformation, and industry-wide convergence for over 140 organizations through next-generation technologies, solutions, and products. We aim to accelerate the transition to a human-first, sustainable, and digital healthcare ecosystem with the world's leading Healthcare and life sciences organizations and our partners.

Our vision:

To inspire new possibilities for the health ecosystem with technology and human ingenuity.

Role: Enterprise Data Architect

Location: Remote

Role Overview

We are seeking a seasoned

Enterprise Data Architect

to serve as the

Solution Owner

for strategic Healthcare Payer Data \& AI Transformation programs.

This leadership role will be responsible for defining the end-to-end data architecture, modernization strategy, and AI-enabled data ecosystem spanning legacy mainframe platforms, modern cloud environments, semantic data layers, and agentic AI-driven analytics solutions.

The ideal candidate will possess deep expertise in Healthcare Payer data ecosystems, IMS and DB2-based legacy platforms, enterprise data architecture, semantic modeling, cloud data platforms, and AI-enabled data solutions.

The individual will lead multi-disciplinary teams comprising Mainframe Consultants, Healthcare Consultants, AI Architects, and Data Engineering Specialists to assess the current landscape and design the future-state architecture.

This is a highly consultative role requiring strong technical leadership, stakeholder engagement, solution ownership, architecture governance, and business transformation experience.

Primary Responsibilities:

Enterprise Solution Ownership

• Own the overall solution architecture and technical strategy for Healthcare Payer data modernization and AI transformation initiatives.
• Define the future-state data architecture aligned with business, analytics, operational, and AI objectives.
• Act as the primary architecture authority across design, implementation, governance, and deployment phases.
• Ensure alignment between business objectives, data strategy, technology platforms, and AI initiatives.
• Drive architecture decision-making and establish enterprise-wide standards, patterns, and best practices.

Legacy System Assessment \& Modernization Strategy

IMS \& DB2 Analysis

Lead discovery and assessment of legacy Healthcare Payer applications built on:

• IMS DB
• IMS TM
• DB2
• COBOL
• CICS
• VSAM
• Batch Processing Frameworks

Responsibilities:

• Understand legacy application architectures, data lineage, business rules, and system dependencies.
• Define modernization strategies for extracting, transforming, and operationalizing legacy data assets.
• Guide Mainframe Consultants in analyzing business logic embedded within IMS and DB2 implementations.
• Establish migration and coexistence patterns between legacy and modern platforms.

Target Data Architecture Definition

On-Premise Architecture

Design scalable enterprise data platforms supporting:

• Operational Reporting
• Enterprise Data Warehouses
• Integrated Healthcare Data Stores
• Regulatory Reporting
• Master Data Management
• Reference Data Management

Cloud Architecture

Define cloud-native architectures leveraging:

• Azure
• AWS
• Google Cloud
• Databricks
• Snowflake
• Microsoft Fabric
• Data Lakehouse Platforms

Responsibilities:

• Establish hybrid data architectures supporting phased modernization.
• Define ingestion, integration, governance, security, and consumption layers.

Data Platform Design

Define:

• Data Domains
• Canonical Models
• Data Products
• Data Mesh Components
• Data Governance Frameworks
• Metadata \& Lineage Solutions

Semantic Layer \& Abstraction Layer Architecture

• Define the enterprise semantic layer strategy for Healthcare Payer data.
• Create business-friendly abstraction layers that decouple consumers from underlying source complexity.

Establish standardized business entities across:

• Members
• Providers
• Claims
• Benefits
• Plans
• Authorizations
• Care Management
• Financial Operations

Responsibilities:

• Define reusable business metrics, KPIs, and healthcare measures.
• Enable consistent data consumption across reporting, analytics, AI, and agent platforms.
• Ensure semantic consistency across on-premises and cloud ecosystems.

AI-Enabled Data Solution Architecture

AI \& Analytics Platform Design

Collaborate with AI Architects to develop data architectures supporting:

• Generative AI
• Retrieval-Augmented Generation (RAG)
• Semantic Search
• Agentic AI Platforms
• AI Assistants
• Knowledge Graphs
• Intelligent Data Discovery

Responsibilities:

• Design enterprise knowledge layers that support AI-driven decision-making.
• Define data preparation, context management, vectorization, and retrieval strategies for AI applications.
• Establish architecture patterns supporting AI governance, explainability, data quality, and compliance.

Leadership Across Multi-Disciplinary Teams

Guide and Govern the Following Roles

Mainframe Consultant

• Direct legacy system assessment activities.
• Validate IMS and DB2 business rule extraction.
• Ensure accurate understanding of source system architecture and business functionality.

Healthcare Consultant

• Align architecture with Healthcare Payer business processes.
• Validate business capabilities, workflows, and domain models.
• Ensure solution designs meet regulatory and operational requirements.

Tech Specialist – Data

• Drive source-to-target mappings, data models, and ETL/ELT design activities.
• Guide semantic layer implementation and data engineering standards.
• Review technical designs and delivery artifacts.

AI Architect

• Align AI solution architecture with enterprise data architecture.
• Define integration patterns between data platforms.

Life at CitiusTech:

We focus on building highly motivated engineering teams and thought leaders with an entrepreneurial mindset, centered on our core values of Passion, Respect, Openness, Unity, and Depth (PROUD) of knowledge. Our success lies in creating a fun, transparent, non-hierarchical, diverse work culture that focuses on continuous learning and work-life balance. Rated by our employees as the Great Place to Work according to the Great Place to Work survey. We offer you a comprehensive set of benefits to ensure that you have a long and rewarding career with us.

Our EVP:

Be You Be Awesome is our EVP and it reflects our continuing efforts to create CitiusTech as a great place to work where our employees can thrive, both personally and professionally. It encompasses the unique benefits and opportunities we offer to support your growth, well-being, and success throughout your journey with us and beyond. Together with our clients, we are solving some of the greatest healthcare challenges and positively impacting human lives. Welcome to the world of Faster Growth, Higher Learning, and Stronger Impact.