Join our fast-paced, innovative and collaborative environment focused on providing an AIOps platform that enhances the intelligence of the CVS Health IT infrastructure. The AI/Machine Learning Director will provide technology strategy, direction, and management of a dedicated team to build and scale out AI and machine learning solutions that will detect, predict and recommend solutions to correct issues before system impact. This role will need to understand the company's business and be adept at working across organizational boundaries while maintaining a strategic perspective to create a AIOps roadmap. You will develop & execute the strategy to empower our team to improve speed-to-production, impact and scalability. You and your team will operationalize and own a broad range of machine learning models that will impact the business at scale. We expect this leader to drive these changes through a mix of: (1) leading sprint teams of machine learning engineers to directly drive and own operationalization (2) up-leveling existing developers and data scientists (3) working with CVSH's platforms & infrastructure teams to drive adoption of new technology in the machine learning space and more.
• Responsible for the strategic and tactical management of a team of engineers and data scientists to enhance the intelligence of the CVS Health IT infrastructure
•Creates and maintains an AI/ML product backlog that reflects value and prioritization efforts
•Responsible for coaching, mentoring, providing career guidance and retaining this highly functional team
•Collaborates across teams and departments to define, prioritize and ensure implementation of innovations to improve technical functionality in support of business needs, efficiencies and revenue
•Serve as a subject matter expert on machine learning technology at scale
•Explore the latest machine learning technologies that support the team's overall mission
•Continuously look for process improvement and optimization opportunities keeping the big picture in mind that can help reduce delivery time and operational cost for the organization.
•Participate in requirement collection, architectural discussions and collaborate with peers, and team members to maintain consistency across the organization.
•Ensures projects are completed on time and according to our quality standards.
•Oversee the implementation of solutions for tracking data quality, data consistency and lineage.
•Collaborate with internal teams to find areas of opportunities for automation and machine learning.
•Streamline the entire data ecosystem from end-to-end to ensure the most efficient, standard, privacy compliant processes possible.
•Provide regular update to upper management and peers about the ongoing project and enhancements.
•Proven leadership skills, demonstrated ability to mentor, influence and partner with enterprise data operations
•Experience in software development, with increasing levels of responsibility and oversight
•3+ years of direct line management including hiring, managing performance and developing skill sets of talented engineers and data scientists
•Progressive leadership experience in leading cross-functional teams and enterprise wide programs, operating and influencing effectively across the organization and within complex contexts is preferred.
•Experience with vendor management
•Demonstrated ability to handle multiple assignments and tasks simultaneously
•Extremely motivated, results oriented individual that is very self-directed and comfortable thinking and reacting quickly
•Excellent written and verbal communication skills, and ability to influence at all levels in the organization
•Technical leader with excellent problem solving and analytical skills. Capable of making sound decisions and bringing others on board with proposed solutions.
•Master's Degree in computer science, data science, information technology, or related field of study
•Experience applying machine learning in production environment
•Experience working in an agile environment.
•Hands-on experience using structured, unstructured and time series data
•Hands-on experience with supervised and unsupervised machine learning algorithms for regression, classification, and clustering
•Familiarity with infrastructure and automation processes
•Understanding and hands-on experience in applying machine learning solutions to solve real-world problems
Bachelor's degree in computer science, information technology or related field of study or equivalent working experience.
At Aetna, a CVS Health company, we are joined in a common purpose: helping people on their path to better health. We are working to transform health care through innovations that make quality care more accessible, easier to use, less expensive and patient-focused. Working together and organizing around the individual, we are pioneering a new approach to total health that puts people at the heart.
We are committed to maintaining a diverse and inclusive workplace. CVS Health is an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring or promotion based on race, ethnicity, gender, gender identity, age, disability or protected veteran status. We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities.
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