Data Science Manager

Position: AIML Technical Delivery Manager

Location: Hyderabad / Chennai

Experience: 10–18 years

About the Role:

We are seeking an accomplished AIML Technical Delivery Manager, passionate about transforming the US healthcare ecosystem with AI and ML solutions. This is a pivotal leadership role focusing on the delivery, operations, and evolution of scalable, production-grade ML models, with a special emphasis on US health insurance use cases.

You'll lead cross-functional AIML teams, drive engagement between Indian and US stakeholders, and ensure excellence at every stage of project execution—from ideation to production deployment.

Key Responsibilities:

• Technical & Strategic Leadership:
• Drive the AI/ML program's technical strategy, ensuring alignment with both business needs and company objectives. Guide architectural choices, experiment with innovative technologies, and foster technical best practices among AI teams.
• Team & Delivery Management:
• Mentor and manage a high-performing team of ML Engineers, MLOps, and Data Engineers. Plan and oversee end-to-end delivery of advanced analytics platforms and ML models for critical US healthcare applications. Manage day-to-day technical operations, ensuring delivery meets scope, quality, and timeline expectations.
• Stakeholder Engagement:
• Be the primary India-based liaison for US clients and leadership—bridging business objectives with technical solutions. Translate complex requirements into actionable AI/ML projects. Regularly communicate delivery status, risks, and workflows to multiple stakeholders.
• Collaboration & Innovation:
• Orchestrate cross-functional teams (engineering, data science, product, and infrastructure) to convert business challenges into impactful batch and real-time ML solutions. Continuously evaluate and propose new technologies, frameworks, and MLOps processes to accelerate delivery and improve outcomes.
• Process Excellence:
• Implement and advocate for best-in-class engineering and MLOps practices. Proactively identify and resolve risks, driving contingency plans as necessary. Champion continuous improvement to enhance speed, reliability, and scalability of ML-powered features.

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 12–18 years of overall experience, including 5+ years in delivery/AI project management and at least 3 years working directly in US Health Insurance or US Healthcare Analytics.
• Hands-on expertise and leadership in end-to-end MLOps pipelines—from data ingestion, model experimentation, deployment to monitoring.
• Proven ability to take AIML solutions from PoC to production in the US healthcare domain, demonstrating measurable business impact.
• In-depth knowledge of AI/ML algorithms (supervised, unsupervised, reinforcement learning) and cloud platforms (GCP preferred, AWS/Azure a plus).
• Exceptional communication, stakeholder management, and presentation abilities; capable of interfacing with both technical and business audiences, including C-suite leaders.
• Demonstrable experience leading, developing, and motivating multidisciplinary AI teams (10+ people), fostering innovation and collaboration.
• Strong track record of risk identification, mitigation planning, and continuous delivery improvement.
• Experience with diverse, globally distributed teams; adept at working across time zones and cultures.

Preferred Attributes:

• Prior product development experience in US payer/provider landscape or value-based care analytics.
• Exposure to regulatory/privacy compliance relevant to US healthcare (HIPAA, etc.).
• Experience implementing automation and CI/CD for ML models at scale.