Corporate Vice President - Gen AI Lead Data Scientist

Location Designation: Hybrid - 3 days per week 

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.

Join Strategic Capabilities and collaborate with a winning team developing and executing game-changing business strategies, informed by cutting-edge data and competitive insights. Fuel business growth through smart acquisitions, innovative partnerships, and impactful technology integration. Leverage AI and strategic data management to bring ideas to life, all while ensuring effective governance and project management 

Role Overview:

We are seeking an experienced professional to support our newly formed Center of Excellence within the AI Team. Reporting to the Head of the AI Center of Excellence, this role will be key in driving advanced machine learning and generative AI solutions for real-world business challenges. You will collaborate across teams, serving as a point of reference on AI-related matters, techniques, and innovations, and work closely with data science leaders, businesses, and technology.

This is a unique opportunity to contribute to our CEO's vision of making the company an industry leader in generative AI and advanced analytics. While generative AI will be a major focus, expertise in a wide range of machine learning and advanced data science methodologies is essential.

What You’ll Do:

• Develop and support the growth of generative AI and advanced machine learning practices across the AI & Data organization. This includes:
• Leading use case development and stakeholder management across various business units.
• Influencing infrastructure, tooling (in partnership with ML Ops and IT), and stakeholder education.
• Overseeing governance in collaboration with the Model Governance and Legal teams.
• Manage stakeholders throughout solution design and execution phases to successfully create and deploy advanced AI solutions.
• Lead data analysis and modeling projects end-to-end:
• From project design, stakeholder engagement, data processing, and analysis to presenting final reports and supporting implementation.
• Demonstrate the value of advanced analytics and AI techniques to stakeholders, providing technical consulting and strategic guidance.
• Utilize machine learning and AI techniques to develop high-performance models that address business objectives.
• Collaborate with technology and ML Ops teams to deploy models into production. Design performance metrics and use data visualization tools to monitor model results.
• Apply data wrangling techniques and work with various programming languages to prepare and analyze diverse data sources. Deploy these analytical solutions into production environments.
• Partner with business, IT, Legal, and other teams to design and implement innovative AI solutions that drive business results.
• Advocate for data-driven decision-making and analytics within the organization.
• Stay informed about AI trends, particularly those that may impact the business, and communicate these developments to the team.
• Communicate effectively across multiple stakeholders, from internal product design teams to external vendors, removing obstacles to timely and high-quality project delivery.
• Work collaboratively across AI & Data, product managers, and other teams.
• Support internal initiatives such as events, expos, and learning sessions with presentations and displays.
• Stay current on industry trends, including legislative and regulatory developments affecting AI in underwriting. Ensure compliance with all applicable laws and regulations.
• Mentor junior team members.
• Travel for events and vendor meetings (up to 5%).

What You’ll Bring:

• Graduate-level degree in a quantitative discipline (e.g., statistics, computer science, mathematics, engineering, etc.).
• 4+ years of experience in predictive analytics and machine learning using large, complex datasets.
• Strong hand-on expertise in parametric statistical modeling techniques (e.g., linear regression, GLM, survival analysis) and non-parametric techniques (e.g., GBM, neural networks, NLP).
• Proficiency in regularization techniques, feature engineering, validation methods, and performance metrics.
• Extensive experience with NLP and large language models, including transformers.
• 2+ years of experience in developing and deploying generative AI solutions, including training, fine-tuning, and prompt engineering.
• Experience with information retrieval, reinforcement learning, and recommender systems (preferred but not required).
• Proven experience deploying real-time models into production environments, including model containerization and integration into business processes.
• Expertise in programming languages such as Python, R, SPARK, SQL, and familiarity with GitHub and software development practices.
• Strong communication and presentation skills, with the ability to engage with diverse internal groups and external vendors.
• Experience with insurance or consumer financial data is a plus but not required.
• Demonstrated ability to mentor junior talent.
• Publications in academic or technical fields are a plus but not required.

#LI-KV1

Salary range: $132,500-$197,500 

Overtime eligible: Exempt 

Discretionary bonus eligible: Yes 

Sales bonus eligible: No 

Click here to learn more about our benefits. Starting salary is dependent upon several factors including previous work experience, specific industry experience, and/or skills required.

Recognized as one of Fortune’s World’s Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners. We invite you to bring your talents to New York Life, so we can continue to help families and businesses “Be Good At Life.” To learn more, please visit LinkedIn, our Newsroom and the Careers page of www.NewYorkLife.com.

Job Requisition ID: 90508