[Hiring] Lead Associate, Analytics @Ensemble Health Partners, India

Role Description

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.
• Systematically reduce technical debt.
• 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.

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.

Requirements

• 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.

Benefits

• 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.