Executive Director – AI and Machine Learning

Job not on LinkedIn

6 days ago

🏖️ New Jersey – Remote

Although this job is listed in New Jersey, this company may be open to hiring remote in other states.

💵 $175.1k - $334.8k / year

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

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CVS Health

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Healthcare Insurance • Retail • Wellness

CVS Health is a leading American healthcare company dedicated to improving health access and affordability. The company focuses on a comprehensive approach that includes health services, health insurance, and pharmacy benefits management. Through its subsidiaries, such as Aetna and CVS Caremark, CVS Health offers a range of services that facilitate wellness, condition management, and affordable prescription drug coverage. CVS Health operates neighborhood pharmacies, provides mail-order pharmacy services, and manages specialty medication programs, aiming to make healthcare convenient and accessible for everyone. Driven by a mission to connect people with essential care services, CVS Health is committed to fostering healthier communities and supporting the wellbeing of all individuals.

10,000+ employees

Founded 1963

⚕️ Healthcare Insurance

🛒 Retail

🧘 Wellness

📋 Description

• Overseeing the governance, development, and implementation of enterprise AI and ML solutions focused on IT operations and security excellence • Develop, implement, and enhance governance frameworks and policies to ensure effective oversight of operational and security-focused AI and ML solutions • Establish and enforce standards for the build, management, governance, and utilization of AI models and model execution platforms • Establish and socialize a framework for the documentation, proposal, evaluation, build, delivery, and ongoing value assessment of scalable operations and security-focused AI/ML solutions • Evaluate and certify foundational models for use within CVS Health, ensuring alignment with organizational goals and security requirements • Regularly assess and enhance the governance model and associated standards to address emerging challenges and opportunities • Establish and maintain robust MLOps, GenAIOps, and LLMOps practices • Build and manage pipelines to enable teams to design AI-powered applications, develop and experiment with models, and deploy, monitor, and maintain them in production • Drive delivery of AI and ML solutions providing deep insights and reporting on operations and security data • Develop proactive AI-driven solutions to measurably reduce time to detect security and operational issues, provide adaptive recommendations, and automate remediation • Deliver solutions to enable users to interact with operational data driving measurable improvements in productivity, performance, and innovation • Ensure compliance with regulatory requirements and ethical standards in AI/ML operations • Manage resources and budgets effectively, operating the AI and ML function as a standalone business unit with comprehensive reporting • Lead and mentor a team of data scientists, machine learning engineers, and full-stack engineers • Partner with other AI/ML Leaders within CVS Health to drive collaboration, alignment on best practices, and model reusability • Foster a collaborative and high-performance culture, promoting continuous learning and professional development • Ensure AI and ML platforms are built with scalability, reliability, safety, fairness, transparency, and security as core tenets • Design, build, and operate necessary on-premise AI processor infrastructure and platforms to effectively deploy and manage enterprise AI workloads • Drive the adoption of cutting-edge technologies and methodologies to continuously improve AI/ML capabilities and model performance • Collaborate with IT and cloud infrastructure teams to optimize the deployment environment for AI/ML models • Communicate the value and impact of AI/ML initiatives to senior leadership and other stakeholders • Engage with external partners, vendors, and industry experts to stay abreast of the latest trends and advancements in AI/ML, IT Operations, SRE, and Cybersecurity • Advocate for the adoption of AI/ML solutions across the organization

🎯 Requirements

• PhD or Master's degree in AI/ML, Computer Science, Statistics, Engineering, or equivalent experience • 15+ years leading Enterprise Machine Learning, Infrastructure, Data Science, and/or SRE practices • 5+ years applying Machine Learning to optimize technology operations (AIOps) • 10+ years at a leadership level or above, within a Fortune 500 company with significant scale • Proven experience leading AI governance, establishing and maintaining robust ML Ops environments, leading development of large-scale AI and ML platforms and solutions, and developing strategic partnerships with internal clients, industry experts, and vendors • Ability to develop and implement a comprehensive AI/ML strategy that aligns with the organization's business goals • Deep understanding of AI/ML technologies, including model development, deployment, MLOps, GenAIOps, and LLMOps practices • Demonstrated knowledge of and significant experience building and operating on-premise AI processor (e.g., GPU clusters) and platform architectures for the deployment and management of enterprise AI workloads • Experience with and commitment to ensuring AI/ML solutions are developed and deployed ethically, with a focus on fairness, transparency, and accountability • Familiarity with industry standards and regulations related to AI and Machine Learning • Strong leadership skills with the ability to inspire, motivate, and mentor a diverse team of data scientists, ML engineers, and MLOps professionals • In-depth knowledge of IT service management (ITSM), AI for IT operations (AI Ops), and Site Reliability Engineering (SRE) frameworks and best practices • Excellent communication and interpersonal skills, with the ability to articulate the value and impact of AI/ML initiatives to stakeholders and senior leadership • Ability to work collaboratively with cross-functional teams, including IT, data engineering, and business units • Proven track record driving operational efficiency and process improvements • Proficiency managing complex projects, with the ability to prioritize and manage multiple initiatives simultaneously, ensuring they are delivered on time and within budget • Knowledge of and experience with CSP-based AI/ML platforms (e.g., AWS Sagemaker, Azure Machine Learning, GCP Vertex AI) • Ability to remain up to date with the latest advancements in AI/ML and related operational practices to ensure the organization remains at the forefront of technology

🏖️ Benefits

• Affordable medical plan options • 401(k) plan (including matching company contributions) • Employee stock purchase plan • No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching • Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility