Design Delivery Leader (Data Science)


Date: Apr 10, 2021

Location: New York, NY, US

Company: New York Life Insurance Co


When you join New York Life, you’re joining a company that values development, career growth, collaboration, innovation, and diversity & inclusion. We want employees to feel proud about being part of a company that is committed to doing the right thing. Through various resources and programs, you can grow your career while developing personally and professionally.




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 Delivery Design leader in its Center for Data Science and Artificial Intelligence (CDSAi).


The company has 175 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 great variety of sources. New York Life is likely the most data-rich company in the life insurance industry. 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 digital advertising optimization.


The Center for Data Science and Artificial Intelligence (CDSAi) is the innovative corporate Analytics group within New York Life. We are a rapidly growing entrepreneurial department which aims to design, create and offer innovative data-driven solutions for many parts of the enterprise. We are aided by New York Life’s existing business with a large market share in individual life insurance. We have the freedom to explore external data sources and new statistical techniques, and are excited about delivering a whole new generation of predictive analytics and artificial intelligence solutions.


In fact, we are building one of the first multivariate model-based continuous risk differentiations in the industry. We are also working on models for differentiated advertising allocation by geography, channel and segment. Geographic analytics on agents and customers, application fraud detection, agent success prediction and client prospecting analytics (off-line and on-line) are other exciting examples of enormous incremental value from analytics. Our products are implemented into real-time core business processes and decisions that drive the company (e.g. underwriting, pricing, agent recruiting, prospecting, advertising allocation, new product development).


We work with data ranging from demographics, credit and geo data to detailed medical data (medical test results, diagnosis, prescriptions) and social media information. We have a modern computing environment with a solid suite of data science/modeling tools and packages, and a large (but manageable) group of well-trained professionals at various levels to support you. Life insurance is on the verge of huge change. This is a chance to drive the transformation of an industry. Is this not why we became data scientists?


You will apply your highly developed technical predictive analytics skills to deeply understand and interact with our solutions for the priority projects, and then derive creative means to present them in highly engaging visual and interactive ways to the non-technical stakeholders, while still accurately representing the core ideas.

You will apply your consulting experience, empathy and comprehension of various business areas (and over time their leaders) to connect our work to their interests and mindsets.

You will apply (for certain projects and events) your creativity and artistic ability to design and build appealing displays and interactive objects (digital or physical).  



  1. Leads the Delivery Design function within the Center for Data Science and Artificial Intelligence (CDSAi), reporting directly to the Chief Analytics Officer. The role has no direct reports at first, which could change as it develops.
  2. Supports several large and high priority data science projects from a delivery design perspective.
  3. Utilizes several standard and custom tools (that this person builds) to create interactive and captivating (digital) objects our internal stakeholders can use to understand our models and data science solutions.
  4. Engages with internal stakeholders at multiple levels to uncover their business challenges, motivations and abilities.
  5. Engages with the CDSAi team to learn about their technical solutions and skills.
  6. Engages with the Tech team to gain knowledge about the various platforms and tools, and collaborates to deploy/create her/his own delivery solutions.
  7. Works collaboratively with project and change managers within CDSAi and on other teams.
  8. Supports internal events, expos, lunch & learns, etc. with displays and presentations.
  9. Evangelizes the use of data-based decision making and Analytics within New York Life by active internal partnership management.
  10. 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.
  11. Assures compliance with regulatory and privacy requirements during design and implementation of modeling and analysis projects.
  12. Travels to events and vendor meetings as needed (< 10%).


Required Qualifications

1. Business, creative and other non-technical

  • Demonstrated experience with building creative custom visualizations/digital objects for communicating data science to business stakeholders. We will want to see examples.
  • Deep understanding of the tools landscape for designing captivating data science deliveries.
  • Consulting experience is a plus.
  • Experience creating visual art pieces semi-professionally is a plus.
  • Health or life insurance experience is a plus.
  • Strong verbal and written communications skills, listening and teamwork skills, and effective presentation skills. This is absolutely essential since you will have a lot of exposure to different internal groups (Agency, Service, data, IT, Legal, Marketing, government relations, etc.) as well as third-party data partners.
  • Demonstrated experience in strategic and analytical leadership. Executive presence on high-level meetings.
  • Proficiency in creating effective and visually appealing PowerPoint presentations.


2. Technical predictive modeling/AI, experimental design and visualization:

  • Hands-on coding and predictive model building experience required.
  • Graduate-level degree with concentration in a quantitative discipline such as statistics, computer science, mathematics, economics, or operations research.
  • 6+ years of experience with predictive analytics using large and complex datasets.
  • Demonstrated experience with data visualization and relevant tools (R Shiny, Bokeh, Tableau, etc.) Experience with developing custom tools beyond the standard packages.
  • Expertise in statistical modeling techniques such as linear regression, logistic regression, survival analysis, GLM, GBM, cluster analysis, principal components, feature creation, and validation.
  • Expertise in regularization techniques (Ridge, Lasso, elastic nets), variable selection techniques, feature creation (transformation, binning, high level categorical reduction, etc.) and validation (hold-outs, CV, bootstrap).
  • Substantial programming experience with several of the following: R, Python, SPARK, SQL, Hadoop. Exposure to GitHub.
  • Demonstrated expertise in statistical design of experiments.




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 our Foundation. 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

Job Requisition ID: 82909




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