Director – AI & Automation
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Job Description
Director, AI & Automation leading technology strategy for Medicare Advantage business at Alignment Health. Driving AI and automation for improved care quality and operational performance.
Responsibilities:
- Define and maintain a multi-year AI and automation roadmap that supports strategic goals in Stars, risk adjustment, payment accuracy, prior authorization, clinical quality, and member experience.
- Partner with C-suite and senior leaders to identify and prioritize high-ROI use cases where AI and intelligent automation create durable competitive advantage.
- Lead and develop a high-performing AI & Automation Engineering team.
- Build, lead, and retain a diverse team of AI/ML engineers, automation engineers, and related roles, setting clear goals, expectations, and development plans.
- Collaborate with Product, Data Engineering, Clinical Operations, Finance, Compliance, and Security to translate business requirements into technical solutions and track realized value.
- Regularly communicate AI and automation strategy, progress, and ROI to senior executives and governance bodies.
- Work with Legal, Compliance, and Privacy to ensure all AI and automation solutions meet CMS, HIPAA, and internal governance standards.
- Own the operating budget for AI & Automation Engineering, including cloud spend, third-party platforms, and external partners.
- Fulfill supervisory responsibilities in accordance with organization policies and applicable laws, including interviewing, hiring, training, and appraising performance.
Requirements:
- 8–12 years of progressive experience in software engineering, data science, or AI/ML roles
- At least 3–5 years in a senior leadership or director-level position
- Proven track record of delivering production-grade AI/ML systems and large-scale automation solutions in a regulated or enterprise environment
- Demonstrated experience leading and scaling multi-disciplinary engineering teams, including hiring, performance management, and career development
- Deep expertise in machine learning, NLP, generative AI (LLMs, RAG pipelines), agentic frameworks, and intelligent process automation (RPA and orchestration)
- Experience managing budgets, vendor relationships, and technology platform decisions at a department or function level
- Bachelor's degree in Computer Science, Computer & Electrical Engineering, Mathematics, Data Science, or a related quantitative field (or equivalent experience)
- Demonstrated senior-level proficiency with AI/ML engineering practices, cloud platforms, and enterprise automation through professional experience
- Working knowledge of cloud AI/ML governance and platform management (AWS, Azure, or GCP) at a leadership level; certification or equivalent experience accepted.
- Preferred: Experience in healthcare — specifically Medicare Advantage, managed care, or payer environments
- Preferred: Knowledge of healthcare data standards including HL7 FHIR, ICD-10/CPT, or DICOM as applied to AI systems.
- Preferred: Published research, conference presentations, or demonstrated thought leadership in AI/ML or enterprise automation.
Benefits:
- No specific benefits mentioned in the job description.
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