Job Title : Lead Analytics (AI Innovation)
Location : Remote India
Employment Type : Full-Time, Regular
About the Role
Ensemble Health Partners is looking for a highly experienced Lead Analytics to join our AI Innovation group. This is a senior individual contributor and technical leadership role, focused on building production-grade AI and ML systems that transform healthcare revenue cycle management (RCM).
In this role, you will lead engineering excellence across analytics and ML platforms, drive agentic AI development, execute radical simplification of complex ML pipelines, and systematically reduce technical debt. You will work closely with architecture, product, compliance, and engineering teams to deliver scalable, secure, and high-impact AI solutions.
This role is ideal for someone who combines deep hands-on technical expertise with strong influence, mentorship, and a passion for clean, maintainable, and high-quality engineering.
Key Responsibilities
1. Agentic AI Development
- Design and implement agentic AI architectures that autonomously execute complex, multi-step RCM workflows
- Build decision-making systems with strong guardrails, observability, and control mechanisms
- Integrate autonomous AI agents with enterprise data platforms and revenue cycle systems
- Evaluate and implement LLM-based and multi-agent frameworks for orchestration
- Establish production-grade monitoring, logging, and incident response for AI agents
- Partner with governance and compliance teams to ensure responsible AI deployment
2. Radical Simplification & Execution
- Lead large-scale model consolidation initiatives, reducing client-specific ML models into generalized, reusable architectures
- Simplify ML pipelines and reduce operational complexity across the analytics platform
- Drive migration from self-managed Airflow to managed orchestration solutions
- Identify and eliminate redundant systems, code, and processes to improve scalability and reliability
- Document and evangelize simplification patterns across the organization
3. Code Craftsmanship & Engineering Excellence
- Own and lead rigorous code review practices with a focus on quality, security, and maintainability
- Create and maintain exemplar code libraries showcasing best practices and performance optimization
- Define, implement, and enforce coding standards, design patterns, and Clean Architecture principles
- Drive adoption of automated testing, CI/CD pipelines, and quality tooling
- Champion security, Explainable AI (XAI), and responsible engineering as core principles
- Mentor and upskill engineers through workshops, demos, and hands-on code reviews
4. Technical Debt Reduction
- Conduct detailed technical debt assessments using static analysis and quality metrics
- Prioritize and execute debt reduction initiatives aligned with business impact
- Prevent future debt through strong engineering discipline and design reviews
- Track and report technical debt metrics to leadership on a regular cadence
5. Cross-Functional Collaboration
- Work closely with Architecture Leads to ensure alignment with Clean Architecture standards
- Partner with Product, Compliance, and Security teams to deliver compliant AI solutions
- Translate complex technical work into clear progress updates for business stakeholders
- Lead cross-team knowledge sharing and technical communities of practice
Required Qualifications
- 8+ years of overall software engineering experience
- 5+ years in analytics, data science, or ML engineering roles
- 2+ years in a senior IC or technical lead role
- Expert-level Python development with strong focus on production-quality code
- Proven experience designing, deploying, and operating ML systems in production
- Strong background in code reviews, quality standards, and engineering best practices
- Hands-on experience with ML pipelines, ETL workflows, and data platforms
Preferred Qualifications
- Experience in healthcare revenue cycle management (RCM)
- Exposure to agentic AI frameworks (e.g., LangGraph, AutoGen, CrewAI, Semantic Kernel)
- Experience with cloud-based ML platforms (Azure ML, Databricks, Azure Data Factory, or similar)
- Strong understanding of Clean Architecture and system design (C4 or equivalent)
- Experience with model generalization techniques (ensembles, transfer learning, multi-task learning)
- Familiarity with AI governance and compliance frameworks (NIST AI RMF, ISO 42001, HITRUST)
- Experience quantifying and remediating technical debt using static analysis tools
What You'll Gain
- Opportunity to build next-generation AI systems in healthcare
- High ownership and autonomy in a senior technical leadership role
- Strong visibility with senior and executive leadership
- Access to learning platforms, certifications, and professional development budgets
- Clear growth path toward senior technical and architectural leadership roles
