Hybrid Lead AI Strategist, Supply Chain Analytics – Lead Director, Data Science

at CVS Health

• Job title: Lead AI Strategist, Supply Chain Analytics – Lead Director, Data Science
• Job type: Full Time
• Experience level: Senior
• Salary: $144,200 - $288,400 per year
• Degree requirement: Bachelor's Degree
• Location requirements: Hybrid, Woonsocket, United States

About the role

• Lead AI Strategist developing AI initiatives in supply chain analytics at CVS Health. Collaborate with cross-functional teams to enhance business growth through data-driven insights.

Responsibilities

• Collaborate with leaders in data science, analytics, and supply chain business to develop the overall strategic direction for the department.
• Help identify and prioritize strategic initiatives and areas for AI implementation to drive business growth and enhance the company's tech capabilities.
• Build a roadmap for rolling out AI solutions across the organization.
• Utilize your analytical skills to assist leaders in developing comprehensive business cases for new data science and analytics projects including AI deployment.
• Exploring potential AI use cases and explaining their benefits.
• Conduct cost-benefit analyses and identify the potential value proposition of proposed initiatives to support decision-making.
• Work closely with the leaders to identify and articulate the value proposition of data science and analytics initiatives to internal stakeholders and executive leadership.
• Translate complex technical concepts into compelling business cases that demonstrate the impact of data-driven insights on the organization's goals.
• Serve as a key communicator and influencer, ensuring effective and timely communication between the data science and analytics team and other departments.
• Facilitate cross-functional collaboration and alignment by clearly articulating the benefits and potential business impact of data-driven solutions.
• Develop impactful presentations for executive leadership that effectively communicate the strategic initiatives, progress, achievements, and key metrics of data science and analytics projects.
• Craft compelling narratives and visually appealing content to engage and inform senior executives.
• Oversee the execution of strategic data science and analytics initiatives.
• Collaborate with project managers and stakeholders to ensure projects are delivered on time, within budget, and meet the identified business objectives.
• Develop and implement performance tracking mechanisms to monitor the progress and impact of data science and analytics initiatives.
• Create regular reports and presentations to communicate progress, achievements, and key metrics to leadership and stakeholders.
• Monitor progress, manage changes, and evaluate profitability of AI solutions.
• Identify areas of improvement for organizational processes and make recommendations.
• Evaluate AI technologies to address specific needs.
• Consider ethical implications of integrating AI capabilities.
• Create frameworks for AI system deployment and use.
• Educate and support teams during AI integration.

Requirements

• 10+ years of experience in developing and executing strategic plans and initiatives.
• Management Consulting or similar experience in developing comprehensive business cases for data science and analytics projects.
• Experience working in cross-functional and matrixed teams.
• Demonstrated experience in driving strategic analytics/AI initiatives and value realization from programs.
• Strong analytical skills with the ability to conduct cost-benefit analyses and assess the potential ROI of proposed initiatives.
• Experience in translating technical concepts into business-oriented language to influence decision-making.
• Prior experience working in data science and analytics or a related field.
• Exceptional interpersonal skills with the ability to cultivate strong relationships with internal and external stakeholders.
• Demonstrated experience in fostering collaboration and driving alignment across diverse teams.
• A deep understanding of business drivers, organizational dynamics, and industry trends in data science and analytics.
• Ability to identify opportunities and frame the business problem in and analytics context to address organizational challenges.
• Continuous learning and adaptability: Staying updated with the rapidly evolving AI landscape, emerging trends, and new technologies.

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.