Location Designation: Hybrid - 3 days per week
Do you have a passion for driving business transformation and leveraging cutting-edge AI and data technologies to solve complex challenges? Would you like to take on a leadership role that empowers teams to shape and execute advanced data and AI strategies? Do you thrive in a collaborative environment, working across business functions to create solutions that drive measurable impact?
New York Life is in the midst of a multi-faceted transformation that spans its entire enterprise, becoming a technology, data, and AI-powered company, enabling our mission of providing financial security and peace of mind to families and businesses across the country. As part of this effort we are looking for a VP, Head of Artificial Intelligence for our AI & Data organization.
When you join New York Life, you’re joining a company that values career development, collaboration, innovation, and inclusiveness. We want employees to feel proud about being part of a company that is committed to doing the right thing. You’ll have the opportunity to grow your career while developing personally and professionally through various resources and programs. New York Life is a relationship-based company and appreciates how both virtual and in-person interactions support our culture.
Reporting to the SVP, Chief Data & Analytics Officer, you will be a key business partner and transformation catalyst. As the leader of a dynamic, cross-functional team, you will partner with business stakeholders to help bring innovative AI solutions to life.
In this critical role, you will lead a team of 50+ spanning multiple disciplines including Generative AI, data science, machine learning, and analytics engineering. These teams not only create innovative solutions but also partner with colleagues across all disciplines of the company to activate AI and data capabilities that drive business impact. We expect this leader to possess high business acumen, and act as a strong business collaborator across multiple business verticals. This role will require deep understanding of the nose-to-tail requirements of delivering and continuously improving AI, analytics and data solutions.
You will be at the forefront of accelerating AI and data modernization within a 180-year-old Fortune 100 company, transforming the way business decisions are made. This role will play a critical part in the evolution of AI & Data’s engagement with NYL enterprise in focusing on data delivery and enablement. This is required to act as a domain expert for both Gen AI and applied AI platforms with strong experience with Machine Learning Operations (MLOps). The successful candidate will be proactive with a “get things done” attitude and have demonstrated prior enterprise impact.

Responsibilities

• Collaborate with the AI & Data leadership team to deliver on the group’s goals and OKRs.
• Oversee the implementation of end-to-end advanced analytics and data science solutions, improve operational efficiency, and enable data-driven decision-making.
• Lead the development and execution of a AI strategy that drives business growth and enhances decision-making.
• Spearhead AI transformation initiatives, including Gen-AI implementation, to unlock the full potential of our data assets.
• Frequently present analysis, insights, results, and recommendations to senior executives; periodically present out to data science community.
• Anticipate potential objections and influence senior executives to adopt a different point of view.
• Take broad ownership of the entire portfolio of department projects that cross multiple domains, making recommendations and decisions that influence business outcomes.
• Drive teams and leaders operating across multiple domains to ensure the successful execution of data science strategies.
• Identify opportunities and build consensus across the organization.
• Broadly and frequently influence outcomes across the business and/or data science community.
• Partner with other business segments and teams to put solutions into production at scale.
• Lead the sharing of knowledge and best practices across the Enterprise.
• Perform other duties as assigned.

Qualifications

• Bachelor’s degree in a related field; an MBA or advanced degree is a plus.
• A proven track record of leadership in digital transformation and data transformation, ideally in a large-scale organization (12+ years).
• Deep understanding of digital technologies and trends, including IoT, cloud computing digital thread, and behavioral experience models.
• Expertise in Advanced Analytics including data visualization, artificial intelligence, machine learning, and business intelligence tools (12+ years).
• Experience establishing and running a digital P&L.
• Excellent communication and influencing skills, with the ability to evangelize digital, data, and innovation concepts throughout the organization.
• Strong leadership, collaboration, and change management skills, with the ability to inspire and motivate cross-functional teams.
• Proficiency in fostering innovation and building high-performance digital teams.
• Strong strategic thinking and problem-solving abilities.
• Experience working in a global business environment, managing virtual teams, and collaborating across geographies is a plus.

• Collaborate with the AI & Data leadership team to deliver on the group’s goals and OKRs.
• Oversee the implementation of end-to-end advanced analytics and data science solutions, improve operational efficiency, and enable data-driven decision-making.
• Lead the development and execution of a AI strategy that drives business growth and enhances decision-making.
• Spearhead AI transformation initiatives, including Gen-AI implementation, to unlock the full potential of our data assets.
• Frequently present analysis, insights, results, and recommendations to senior executives; periodically present out to data science community.
• Anticipate potential objections and influence senior executives to adopt a different point of view.
• Take broad ownership of the entire portfolio of department projects that cross multiple domains, making recommendations and decisions that influence business outcomes.
• Drive teams and leaders operating across multiple domains to ensure the successful execution of data science strategies.
• Identify opportunities and build consensus across the organization.
• Broadly and frequently influence outcomes across the business and/or data science community.
• Partner with other business segments and teams to put solutions into production at scale.
• Lead the sharing of knowledge and best practices across the Enterprise.
• Perform other duties as assigned