New York Life Insurance Company
Director of Data Science (Generative AI)
New York Life Insurance Company, New York, New York, us, 10261
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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.New York Life
, the largest writer of retail life insurance in the U.S. and a top player in annuities, long-term care, and mutual funds, is seeking a Director of Data Science (Generative AI) in its AI and Data team.The company has 179 years of history and while usable data does not quite go back that far, we have a wealth of internal information on consumers, policies, and their performance, as well as applicants, prospects and our 12,000 agents. We also have a multitude of external data from a vast variety of sources. Analytical challenges range from mortality risk to agent recruiting decisions, service optimization, consumer analytics (segmentation, response, conversion, retention, up-sell), fraud detection, advertising allocation and office footprint optimization.When you join New York Life, you are 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 will 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.New York Life’s AI and Data team delivers innovative data, insights, and AI solutions for the organization. Our AI team works on a diverse portfolio of AI and GenAI projects, by combining agile and entrepreneurial drive with industry-leading methods and tools. Our efforts are fully supported by executive leadership, and we work hand in hand with our Business Partners through all stages of model development from ideation to deployment. As it takes multiple skill sets to deliver AI models to production, our AI team includes product managers, data scientists, MLOps engineers, program managers, a model validation & governance group, and a communications & development group.This role will be the key data science leader for building our generative AI practice, in collaboration with our head of ML Ops. The person in this role is expected to have prior experience with creating generative AI solutions and will need to attract others with that skills set. NYL’s CEO has expressed that he wants the company to be a leader in generative AI in our industry. Hence, this leader has to opportunity to help build out that vision and with it their responsibility. Since not every data science project may require generative AI, expert-level familiarity with regular statistical predictive modeling methodologies and practice is also essential.ResponsibilitiesBuilds and leads a generative AI practice. This includes use case development and associated stakeholder management in various business areas. It also means talent development (both recruiting new talent and training existing data scientists), infrastructure and tooling (in collaboration with ML Ops and IT), education of stakeholders and community, vendor selection/collaboration and governance (in collaboration with model governance team and Legal).Managing various stakeholders during solution design and project execution to successfully create solutions and deploy them into full production. Organizational effectiveness (within a complex company like NYL), storytelling and product branding are as important as technical leadership.Utilizes advanced statistical/ AI
techniques to create high-performing predictive models and other solutions to address business objectives and client needs. Tests new statistical and machine learning analysis methods, software, and data sources for continual improvement of quantitative solutions.Implements analytical models into production by collaborating with technology and ML Ops teams. Utilizes data visualization tools for model testing, modeling results and data patterns exhibition. Design performance metrics for model selection and performance monitoring.Manages, grows, and retains a strong team of highly skilled data scientists. Including goal setting, performance evaluation, effective resource allocation and career/skill development, hiring and training.Explores, designs, develops and gains buy-in on new valuable data science use cases. Creates a strategy and a project pipeline. Given the size and complexity of New York Life, there is ample opportunity for that. New use case development can lead to further growth of the team under this role.Works closely with the business areas, IT, Legal, Government relations and several other groups in designing, building, and implementing these solutions.Evangelizes the use of data-based decision making and Analytics within New York Life.Proactively and effectively communicates in various verbal and written formats with internal stakeholders on product design, data specification, model implementations, with partners on collaboration ideas and specifics, with internal clients and stakeholders on project/test results, opportunities, questions. Resolves problems and removes obstacles to timely and high-quality project completion.Works collaboratively with project and product managers within AI & Data and on other teams.Supports internal events, expos, lunch & learns, etc. with displays and presentations.Follows industry trends in insurance and related data/analytics processes and businesses. Functions as the analytics expert in meetings with other internal areas and external vendors. Contributes ideas and actively participates in proof-of-concept tests of new processes and technologies.Stays up to date on existing and proposed legislation and regulation (on federal and state level) that impact AI in underwriting. Assures compliance with regulatory and privacy requirements during design and implementation of modeling and analysis projects.Travels to events and vendor meetings as needed (
Required qualifications.Technical expertiseGraduate-level degree with concentration in a quantitative discipline such as statistics, computer science, mathematics, economics, or similar.8+ years of experience with predictive analytics using large and complex datasets.Substantial expertise in both parametric statistical modeling techniques (linear regression, GLM, survival analysis, time series, etc.) and non-parametric techniques (GBM, NN, NLP).Expertise in regularization techniques (Ridge, Lasso, elastic nets), variable selection techniques, feature creation (transformation, binning, high level categorical reduction, etc.), validation (holdouts, CV, bootstrap) and model performance measures (may need to create new ones).Substantial prior programming experience in languages such as R, Python, SPARK, SQL. Comfort with professional software development process and GitHub.Demonstrated expertise in deploying real-time models into production environments. This includes production-ready code, containerizing models, testing, and integration into business processes.Detailed recent NLP experience (basic techniques, large language models, transformers, etc.)2+ years of experience with generative AI solutions (both development and deployment/integration). Ideally on development this would include training, fine-tuning and prompt engineering.Experience with disparate impact testing vs. protected classes of statistical models is a plus.Leadership, business and other non-technical3+ years of direct people management experience, including growing a technical team and recruiting (and retaining) talent. Proven ability to effectively manage own and associates’ time while multitasking between multiple, time-sensitive projects and competing priorities in a dynamic business environment while maintaining strong, productive relationships with internal stakeholders and external partners. Ability to provide technical guidance to direct reports.Demonstrated organizational effectiveness on substantial projects that involved significant cultural change at a large company.Strong verbal and written communications skills, listening and teamwork skills, and effective presentation skills. This is essential since you will have a lot of exposure to different internal groups (Business functions, Data, IT, Legal, Government Relations, etc.) as well as third-party data vendors and consultants.Demonstrated success in creating measurable business benefit from analytics while interacting with many stakeholders in a complex organization.Demonstrated experience in strategic and analytical leadership. Executive presence on high-level meetings.Consumer financial services experience is a plus.Location:51 Madison Ave, Manhattan. Presence in the office is required Tuesday - Thursday.Salary range:
$157,500-$237,500Discretionary bonus eligible:
YesClick 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: 89156
Nearest Major Market:
ManhattanNearest Secondary Market:
New York CityJob Segment:
Testing, VP, Executive, Computer Science, Social Media, Technology, Management, MarketingProviderDescriptionEnabledSAP as service provider"route" is used for session stickiness"careerSiteCompanyId" is used to send the request to the correct data center"JSESSIONID" is placed on the visitor's device during the session so the server can identify the visitorProvider
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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.New York Life
, the largest writer of retail life insurance in the U.S. and a top player in annuities, long-term care, and mutual funds, is seeking a Director of Data Science (Generative AI) in its AI and Data team.The company has 179 years of history and while usable data does not quite go back that far, we have a wealth of internal information on consumers, policies, and their performance, as well as applicants, prospects and our 12,000 agents. We also have a multitude of external data from a vast variety of sources. Analytical challenges range from mortality risk to agent recruiting decisions, service optimization, consumer analytics (segmentation, response, conversion, retention, up-sell), fraud detection, advertising allocation and office footprint optimization.When you join New York Life, you are 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 will 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.New York Life’s AI and Data team delivers innovative data, insights, and AI solutions for the organization. Our AI team works on a diverse portfolio of AI and GenAI projects, by combining agile and entrepreneurial drive with industry-leading methods and tools. Our efforts are fully supported by executive leadership, and we work hand in hand with our Business Partners through all stages of model development from ideation to deployment. As it takes multiple skill sets to deliver AI models to production, our AI team includes product managers, data scientists, MLOps engineers, program managers, a model validation & governance group, and a communications & development group.This role will be the key data science leader for building our generative AI practice, in collaboration with our head of ML Ops. The person in this role is expected to have prior experience with creating generative AI solutions and will need to attract others with that skills set. NYL’s CEO has expressed that he wants the company to be a leader in generative AI in our industry. Hence, this leader has to opportunity to help build out that vision and with it their responsibility. Since not every data science project may require generative AI, expert-level familiarity with regular statistical predictive modeling methodologies and practice is also essential.ResponsibilitiesBuilds and leads a generative AI practice. This includes use case development and associated stakeholder management in various business areas. It also means talent development (both recruiting new talent and training existing data scientists), infrastructure and tooling (in collaboration with ML Ops and IT), education of stakeholders and community, vendor selection/collaboration and governance (in collaboration with model governance team and Legal).Managing various stakeholders during solution design and project execution to successfully create solutions and deploy them into full production. Organizational effectiveness (within a complex company like NYL), storytelling and product branding are as important as technical leadership.Utilizes advanced statistical/ AI
techniques to create high-performing predictive models and other solutions to address business objectives and client needs. Tests new statistical and machine learning analysis methods, software, and data sources for continual improvement of quantitative solutions.Implements analytical models into production by collaborating with technology and ML Ops teams. Utilizes data visualization tools for model testing, modeling results and data patterns exhibition. Design performance metrics for model selection and performance monitoring.Manages, grows, and retains a strong team of highly skilled data scientists. Including goal setting, performance evaluation, effective resource allocation and career/skill development, hiring and training.Explores, designs, develops and gains buy-in on new valuable data science use cases. Creates a strategy and a project pipeline. Given the size and complexity of New York Life, there is ample opportunity for that. New use case development can lead to further growth of the team under this role.Works closely with the business areas, IT, Legal, Government relations and several other groups in designing, building, and implementing these solutions.Evangelizes the use of data-based decision making and Analytics within New York Life.Proactively and effectively communicates in various verbal and written formats with internal stakeholders on product design, data specification, model implementations, with partners on collaboration ideas and specifics, with internal clients and stakeholders on project/test results, opportunities, questions. Resolves problems and removes obstacles to timely and high-quality project completion.Works collaboratively with project and product managers within AI & Data and on other teams.Supports internal events, expos, lunch & learns, etc. with displays and presentations.Follows industry trends in insurance and related data/analytics processes and businesses. Functions as the analytics expert in meetings with other internal areas and external vendors. Contributes ideas and actively participates in proof-of-concept tests of new processes and technologies.Stays up to date on existing and proposed legislation and regulation (on federal and state level) that impact AI in underwriting. Assures compliance with regulatory and privacy requirements during design and implementation of modeling and analysis projects.Travels to events and vendor meetings as needed (
Required qualifications.Technical expertiseGraduate-level degree with concentration in a quantitative discipline such as statistics, computer science, mathematics, economics, or similar.8+ years of experience with predictive analytics using large and complex datasets.Substantial expertise in both parametric statistical modeling techniques (linear regression, GLM, survival analysis, time series, etc.) and non-parametric techniques (GBM, NN, NLP).Expertise in regularization techniques (Ridge, Lasso, elastic nets), variable selection techniques, feature creation (transformation, binning, high level categorical reduction, etc.), validation (holdouts, CV, bootstrap) and model performance measures (may need to create new ones).Substantial prior programming experience in languages such as R, Python, SPARK, SQL. Comfort with professional software development process and GitHub.Demonstrated expertise in deploying real-time models into production environments. This includes production-ready code, containerizing models, testing, and integration into business processes.Detailed recent NLP experience (basic techniques, large language models, transformers, etc.)2+ years of experience with generative AI solutions (both development and deployment/integration). Ideally on development this would include training, fine-tuning and prompt engineering.Experience with disparate impact testing vs. protected classes of statistical models is a plus.Leadership, business and other non-technical3+ years of direct people management experience, including growing a technical team and recruiting (and retaining) talent. Proven ability to effectively manage own and associates’ time while multitasking between multiple, time-sensitive projects and competing priorities in a dynamic business environment while maintaining strong, productive relationships with internal stakeholders and external partners. Ability to provide technical guidance to direct reports.Demonstrated organizational effectiveness on substantial projects that involved significant cultural change at a large company.Strong verbal and written communications skills, listening and teamwork skills, and effective presentation skills. This is essential since you will have a lot of exposure to different internal groups (Business functions, Data, IT, Legal, Government Relations, etc.) as well as third-party data vendors and consultants.Demonstrated success in creating measurable business benefit from analytics while interacting with many stakeholders in a complex organization.Demonstrated experience in strategic and analytical leadership. Executive presence on high-level meetings.Consumer financial services experience is a plus.Location:51 Madison Ave, Manhattan. Presence in the office is required Tuesday - Thursday.Salary range:
$157,500-$237,500Discretionary bonus eligible:
YesClick 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
, our
Newsroom
and the
Careers
page of
www.NewYorkLife.com
.Job Requisition ID: 89156
Nearest Major Market:
ManhattanNearest Secondary Market:
New York CityJob Segment:
Testing, VP, Executive, Computer Science, Social Media, Technology, Management, MarketingProviderDescriptionEnabledSAP as service provider"route" is used for session stickiness"careerSiteCompanyId" is used to send the request to the correct data center"JSESSIONID" is placed on the visitor's device during the session so the server can identify the visitorProvider
DescriptionEnabledYouTubeProviderDescriptionEnabledLinkedIn
#J-18808-Ljbffr