About the Role

We are seeking an accomplished Manager to lead our healthcare delivery portfolio with deep domain expertise and technical acumen. This strategic leadership role requires a unique blend of hands-on technical background, healthcare domain mastery, and client-facing delivery excellence. The ideal candidate will be a champion of AI-driven innovation, driving transformation in healthcare software engineering while managing complex client engagements and business development initiatives.

Key Responsibilities

Delivery Leadership & Client Management

Lead end-to-end delivery of complex healthcare technology programs, ensuring quality, timelines, and client satisfaction
Drive strategic client-facing discussions, program planning, and stakeholder management across multiple accounts
Manage delivery risks, dependencies, and escalations with proactive mitigation strategies
Establish strong client relationships and serve as a trusted advisor for healthcare technology solutions

Business Development & Pre-Sales

Support RFP/RFI responses with comprehensive solution design and effort estimation
Collaborate with pre-sales teams to create compelling proposals and statements of work
Provide technical and domain expertise during client presentations and solution demonstrations
Contribute to account growth strategies and identify expansion opportunities within existing clients

Technical & Solution Architecture

Drive software engineering excellence across development teams with focus on scalability, performance, and security
Architect and oversee implementation of cloud-native solutions on Microsoft Azure, AWS, or other cloud platforms
Champion modern engineering practices including DevOps, CI/CD, microservices, and API-first design
Guide technical decision-making on architecture patterns, technology stack selection, and integration approaches

AI Innovation & Automation

Evangelize and implement AI-driven automation across software development lifecycle
Lead adoption of AI tools and co-pilots for code generation, testing, documentation, and quality assurance
Drive POCs and production implementations of GenAI, ML, and intelligent automation solutions
Stay current with emerging AI technologies and identify opportunities for client value creation

Team Leadership & Capability Building

Mentor and develop technical leads, architects, and engineering teams
Foster a culture of innovation, continuous learning, and engineering excellence
Build organizational capability in healthcare domain and emerging technologies
Conduct technical reviews, design discussions, and knowledge sharing sessions

Required Qualifications

Healthcare Domain Expertise

10+ years in US Healthcare domain with deep understanding of:
Provider workflows and healthcare delivery systems
EHR/EMR systems (Epic, Cerner, Allscripts, or similar platforms)/
HC Platforms - Trizetto/RCM/Payor/PBM/Prior Auth (272/276/EDI/835/837) or any other HC equivalent of Provider industry domains
HL7 standards (v2.x, CDA, FHIR) and healthcare interoperability
Provider products including Practice Management, Patient Engagement, Care Coordination
US healthcare regulations (HIPAA, HITECH, Meaningful Use, quality reporting programs) & CMS (Center for Medical Sciences)
Clinical workflows, medical terminology, and healthcare data standards

Technical Background & Evolution

Strong software development foundation with hands-on coding experience in early career (Java, .NET, Python, or similar)
Progressive career growth from Developer Technical Lead Delivery Lead
Demonstrated ability to transition from individual contributor to people and program management
Current understanding of modern software engineering practices and architecture patterns

AI & Automation Expertise

Hands-on experience with AI tools in software development:
GitHub Copilot, Amazon CodeWhisperer, Tabnine, or similar AI coding assistants
AI-powered testing frameworks and test automation tools
GenAI applications for documentation, code reviews, and technical debt reduction
Practical knowledge of AI/ML implementation in cloud environments (Azure AI, AWS SageMaker, etc.)
Understanding of Agentic AI, LLMs, and AI orchestration frameworks
Experience driving AI adoption and change management within engineering teams

Cloud & Modern Technology Stack

Expertise in cloud-native application development on:
Microsoft Azure (preferred) or AWS
Containerization (Docker, Kubernetes)
Serverless architectures and PaaS services
Cloud data platforms (Azure Synapse, Databricks, AWS Redshift)
Experience with modern web frameworks, APIs, and integration patterns
Knowledge of healthcare-specific cloud solutions and compliance frameworks

Delivery & Program Management

Proven track record of managing $5M-$10M healthcare programs with distributed teams
Experience with Agile, Scrum, and scaled delivery frameworks (SAFe, LeSS)
Strong understanding of project financials, resource management, and P&L accountability
Expertise in risk management, quality assurance, and delivery governance

Business & Client Engagement

Demonstrated success in RFP/RFI responses and winning new business
Experience creating effort estimates, solution designs, and technical proposals
Strong presentation and stakeholder management skills
Ability to translate complex technical concepts for non-technical audiences

Preferred Qualifications

Experience with EHR/HL7/FHIR/InterOp or clinical data management, or healthcare analytics platforms
Certifications: PMP, AWS/Azure Solutions Architect, TOGAF, Certified Scrum Master
Experience with healthcare integration engines (Mirth, Rhapsody, Ensemble)
Exposure to digital health products: telehealth, patient portals, mobile health applications
Understanding of healthcare data analytics, BI tools, and real-time monitoring solutions

Key Competencies

Leadership & Strategy

Strategic thinking with ability to balance technical depth and business outcomes
Strong decision-making under ambiguity and pressure
Change leadership and organizational influence

Technical Excellence

Deep architectural thinking with pragmatic implementation approach
Passion for emerging technologies and continuous learning
Quality-driven mindset with focus on engineering best practices

Client & Business Acumen

Consultative approach with strong problem-solving skills
Commercial awareness and business development orientation
Excellent written and verbal communication

Innovation & AI Advocacy

Forward-thinking approach to technology adoption
Ability to drive innovation while managing delivery commitments
Hands-on experimentation mindset with AI and automation tools

Education

Bachelor's or Master's degree in Computer Science, Engineering, or related technical field
Advanced degree or healthcare-specific certifications (HL7, CPHIMS) preferred

Why Join Us

Lead cutting-edge healthcare transformation initiatives with marquee clients
Work with modern technology stack and drive AI-powered innovation
Shape delivery practices and mentor high-performing engineering teams
Opportunity to influence strategic direction and business growth
Collaborative culture with focus on work-life balance and professional development

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