Architect/Director - AI/ML & Healthcare Analytics
- Omega Healthcare
- 14 - 20 years
- Hyderabad
- 29 days ago
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Job Description
Job Title: Director/Architect AI/ML & Healthcare Analytics
at Omega Healthcare company
About the Role
We are seeking a highly strategic and analytically driven Architect AI/ML & Healthcare Analytics to lead Omega's next-generation data analytics, and AI initiatives. This role is central to our product modernization journey, enabling a unified, scalable, multi-cloud ecosystem powered by a centralized enterprise data Lakehouse. The Director will spearhead the development of advanced analytics, predictive models, and AI/ML-driven solutions that unlock hidden opportunities across the RCM value chainpayers, providers, denials, collections, reimbursements, and operations.
This leader will combine deep expertise in healthcare analytics, data science, AI/ML, and RCM operations to drive measurable business values, improving efficiency, reducing denials and leakages, identifying dead-value opportunities, and strengthening operational performance across clients. The role will partner closely with product, engineering, sales, and operations to ensure analytics is a strategic differentiator and a growth enabler for WhiteSpace Health.
Key Responsibilities
AI Strategy & Vision
- Define and lead the enterprise AI/ML and healthcare analytics strategy, aligned to RCM modernization and business goals.
- Develop scalable predictive and prescriptive analytics models for denials, collections, AR forecasting, payer behavior, underpayments, and operational optimization.
- Utilize AI/ML to uncover dead-value opportunities, revenue leakages, and inefficiencies across the RCM lifecycle.
- Drive the creation of reusable AI microservices, decisioning engines, and next-gen analytics capabilities for the product platform
AI/ML Product Development
- Architect and build scalable, production-grade AI/ML solutions across ingestion, modeling, deployment, monitoring, and continuous improvement.
- Lead the modernization of the AI stack to support multi-cloud (Azure, AWS, GCP) environments using containerized and cloud-native services.
- Own the end-to-end lifecycle of AI/ML modelsdata preparation, feature engineering, training, evaluation, deployment, and monitoring.
Advanced Automation & AI Operations
- Drive AI-enabled automation that improves throughput, reduces manual dependency, and boosts operational efficiency.
- Implement MLOps best practicesautomated pipelines, model versioning, testing, retraining, and drift detection.
- Integrate AI into CI/CD processes and product release workflows to support rapid experimentation and deployment.
GenAI Innovation
- Build GenAI solutions for automated documentation, summarization, knowledge extraction, IDP, and conversational RCM assistants.
Implement LLM-powered quality checks, intelligent test generation, predictive denials and payment models, coding/charge-capture AI, and NLP-driven claims automation.
Use embeddings, vector databases, RAG, and multimodal models to boost accuracy, data quality, and user experience.
Data Integrity & Modernization
- Oversee data readiness for AI use casesdata architecture, governance, feature stores, and cloud-based data pipelines.
- Guide the transition to modern data platforms supporting streaming, real-time analytics, and large-scale ML workloads.
Business Value & Analytics
- Derive measurable business value through AI-driven automation, insights, and predictive capabilities.
- Build ROI models, value frameworks, and AI impact dashboards to track efficiency gains, cost reduction, and revenue lift.
- Partner with Product and Operations to ensure AI investments translate directly into customer and business outcomes.
Leadership & Collaboration
- Build and mentor a high-performing AI/ML team of engineers, researchers, data scientists, and applied ML practitioners.
- Work cross-functionally with Engineering, Cloud, QA, Product, Operations, and Client Services to embed AI into product and business workflows.
- Influence executive stakeholders through clear communication, strategic planning, and strong execution excellence.
Qualifications
Must Have
- 15+ years of experience in Data Science / AI / ML with at least 5+ years in leadership roles.
- Proven track record building and deploying ML and AI solutions at scale in production.
- Deep experience with healthcare datasets, RCM workflows, payer/provider data, and compliance constraints.
- Expertise with ML frameworks (TensorFlow, PyTorch, Scikit-learn), LLMs, NLP, and cloud AI services.
- Experience in GenAI, LLM fine-tuning, RAG systems, or document intelligence.
- Strong understanding of ETL/ELT pipelines, data engineering, and distributed systems.
- Strong hands-on engineering capability with Python, SQL, cloud-native pipelines, and distributed computing.
- Experience with MLOps tools (MLflow, Kubeflow, SageMaker, Azure ML, Vertex AI, Airflow).
- Demonstrated business acumen with ability to quantify AI impact and drive strategy.
Nice to Have
- Familiarity with healthcare interoperability standards (FHIR, HL7, X12).
- Experience in multi-cloud orchestration and modern data platforms.
- Experience with vector databases, embeddings, document intelligence, or multimodal AI solutions.
Attributes
- Strong strategic thinking coupled with deep technical hands-on ability.
- Highly analytical, creative, and results-oriented with a passion for innovation.
- Ability to influence diverse stakeholders and drive cross-functional programs.
- Ownership mindset with a continuous improvement and experimentation culture.
- Deep understanding of ethical AI, fairness, privacy, and compliance in healthcare.
Job Classification
Industry: BPM / BPOFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Analytics - OtherRole: Data Science & Analytics - OtherEmployement Type: Full timeContact Details:
Company: Omega HealthcareLocation(s): Hyderabad
Keyskills: Artificial Intelligence Data Science Natural Language Processing Machine Learning Ml Algorithms RCM Deep Learning Python
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