Vice President, Data Science Lead

Job Classification: Technology - Data Analytics & Management Are you interested in building capabilities that enable the organization with innovation, speed, agility, scalability and efficiency? The Global Technology team takes great pride in our culture where digital transformation is built into our DNA! When you join our organization at Prudential, youll unlock an exciting and impactful career all while growing your skills and advancing your profession at one of the worlds leading financial services institutions. As the Vice President, Group Insurance and Long-Term Care (GI & LTC) Data Science Lead in the U.S. Businesses (USB) Service, Data and Technology organization, you will partner with GI and LTC business leaders, technologists, machine learning engineers, data engineers and more. This role leads data scientists in the development of AI products that deliver significant business value. You will implement capabilities to solve meaningful business problems, deploy innovative products, services, and experiences to delight our customers! In addition to advanced technical expertise and experience, you will bring problem solving and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership demeanor, and a continuous learning focus to all that you do. This role is based in our office in Newark, NJ. Our organization follows a hybrid work structure whereemployees can work remotely and from the office, as needed, based on demands of specific tasks or personal work preferences. This position is hybrid and requires your on-site presence on a reoccurring weekly basis at least 2 days per week. Here is what you can expect in a typical day: Drive Group Insurance AI and Data Science strategy and roadmap by identifying use cases from each business domain and taking into consideration business priorities in collaboration with domain leaders and product owners. Lead, provide guidance and review the design, development, and production of Generative AI, machine learning and statistical models aimed at achieving substantial business outcomes. Collaborate closely with technology, operations, governance, and business teams to manage dependencies, lead risk assessments, ensure operation readiness, support post-production adoption and continuous improvements in a timely manner. Support continuous innovation and thought leadership in the domain of Predictive Analytics, AI, and Machine Learning model design by bringing in industry leading trends and paradigms. Lead external vendors in the execution of parts of the data science development process. Work with members of Prudentials Technology & Data teams, including leaders in the Chief Technology Office and Enterprise Architecture team, as well as other Data Science Leads to leverage internal best practices, identify synergies, and influence transformation through data solutions Engage with the Chief Data Office on Responsible AI, Data Management and Governance, Data and AI/ML platforms to ensure Group Insurance is delivering sustainable Predictive and AI solutions. Manage GI data science talent processes, including driving an innovative culture, adjusting training and career development strategies to reflect rapid evolution in data science domains, and strengthening the connection between the data science team and GI business partners. Bring a deep understanding of relevant and emerging technologies, give technical direction to team members, and embed learning and innovation in the day-to-day. Use programming languages including but not limited to Python, R, SQL, Java or Scala, SQL The Skills and expertise you bring: Minimum of a Masters degree in Computer Science, Math or Engineering related subject areas. Ability to lead independently with minimal guidance and effectively leverage diverse ideas, experiences, thoughts, and perspectives to the benefit of the organization. Ability to learn new skills and domain knowledge on an ongoing basis through self-initiative and seeking challenges. Knowledge of business concepts, tools and processes that are needed for making sound decisions in the context of the company's business. Excellent problem solving, communication, and collaboration skills. Ability to identify right emerging AI technologies, influence the business, and own a roadmap that generates significant competitive advantage. Deep expertise with several of the following: Strategy: Ability to formulate original long-term and short-term strategies for achieving business outcomes. Ability to frame strategies in the form of a business plan backed by financial models. Influence: Adeptness in exerting influence across levels in a matrixed organization to drive business outcomes for data science and the business. Capable of working collaboratively across departments and with external partners. Generative AI: 12 years of experience in developing and deploying generative AI solutions, including design, fine-tuning, prompt engineering, performance measurement, and feedback loop. Data Acquisition and Transformation: Acquiring data from disparate data sources using API's, SQL and NoSQL. Transform data using SQL, NoSQL, and Python. Exploring data using a diverse tool set. Predictive Analytics and Machine Learning: Deep understanding of predictive modeling and machine learning theory, including the mathematics underlying algorithms. Expertise in the application of data science theory to building, training, testing, and monitoring machine learning models. Statistics and Computing: Exceptional understanding of: Calculus, Multivariable Calculus, Linear Algebra, Differential Equations, Probability, Statistics, Applied Probability, Applied... Equal Opportunity Employer - minorities/females/veterans/individuals with disabilities/sexual orientation/gender identity