Associate Director

About the Role We are seeking an accomplished Associate Director or Director 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 15+ 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