1+ months

Vice President, Data Science

Cary, NC
**Role Value Proposition** : Driven by passion and purpose, we are looking for you to lead our global data science research and delivery team to further develop our advanced analytics capabilities while overseeing the design and implementation of state of the art data approaches which are both scalable and innovative. This is a critical position with strategic impact on our businesses and a key leadership role in the enterprise data organization. Advanced analytics is part of the digital line of business in Global Technology and Operations. Digital is fundamentally changing the insurance landscape in both how we go to market and how we service our customers, positioning GTO to leverage its capabilities across MetLife's value chain.

**Key Responsibilities:**

+ Lead the design, implementation, and operation of a state-of-the-art data sciences platform which is scalable and innovative in the manner it extracts, manages and analyzes data with an emphasis on aligning to key business objectives

+ Oversee the efficacy of advanced analytics and statistics efforts including Machine Learning, Natural Language Processing & Artificial Intelligence.

+ Provide strategic recommendations on data collection, integration and retention requirements incorporating business requirements and knowledge of next generation data practices.

+ Develop innovative approaches to linking internal systems with external data

+ Collaborate with stakeholders, partners, and clients while activing in an advisory capacity in supportive of client priorities, requirements and objectives

+ Responsible for development of analytic problem solving methodology to be deployed enterprise wide

+ Responsible of first of a kind research and develop innovative approaches to leverage external data

+ Accountable for developing and sharing new developments in academic research within data science and applied statistics field including further develop university partnership

+ Responsible for talent development for data science practitioners enterprise wide

**Essential Business Experience and Technical Skills:**

+ At least 15 years of experience working in a field using machine learning, other predictive modeling techniques, engineering, statistics, mathematics, computer science or related field

+ A proven leader who has the foresight and business context to provide optimal data-science vision, strategy and business practices for the organization

+ Understanding of statistical significance, confidence intervals, uncertainty estimation and diligent application of the scientific method

+ Extensive background and track record in statistical methodologies as well as data mining and machine & deep learning strategies, and proven experience validating models against experimental data

+ Previous experience and success in both managing and leading a team

+ Proficient written and verbal communication skills, demonstrated success in communicating and presenting data and concepts to clients and audiences with varying backgrounds and visualizing data to stakeholders

+ Subject Matter Expertise (SME) with data analytic, scientific computing and statistics packages

+ Extensive background and track record in statistical methodologies as well as data mining and machine & deep learning strategies, and proven experience validating models against experimental data

+ Minimum of a Masters degree in statistics, mathematics, computer science or a related discipline emphasizing scientific inquiry; PhD preferred

**Leadership Competencies:**

+ **Thinks Strategically -** Sets direction aligned to the companys strategy, applying external and global perspective to meet local and global needs.

+ **Motivates People -** Gains people commitment to achieve business objectives through clear communication of the companys vision and flexing leadership styles to inspire high performance.

+ **Creates Partnerships -** Authentically builds trusted relationships and collaborates across global, diverse and multi-functional teams to successfully drive business objectives.

+ **Focuses on Customers ** Promotes customer centricity and ensures focus on creating great customer experiences to achieve competitive advantage.

+ **Drives Results ** Sets aggressive goals and is accountable for continuously driving improved performance, leading change and ensuring high standards.

**Key Relationships** :

+ **Reports to:** Chief Analytics Officer

+ **Direct reports/team** : 10-12 FTEs + external vendor resources

+ **Key Stakeholders** : Chief Data Officer, Chief Digital Officer, GTO Leadership teams, MetLife business leaders and teams


MetLife, through our subsidiaries and affiliates, is one of the largest life insurance companies in the world. Founded in 1868, we are a global provider of life insurance, annuities, employee benefits and asset management. Our employees serve approximately 100 million customers, individuals and businesses, including over 90 of the FORTUNE 100.

We are ranked #40 on the Fortune 500 list and #48 on the Forbes Global 500 list. We have operations in nearly 50 countries, and hold leading market positions in the United States, Japan, Latin America, Asia, Europe and the Middle East. We are also one of the largest institutional investors in the U.S. with an over $500 billion general account portfolio as of December 31, 2015.

In 2015, FORTUNE Magazines Worlds Most Admired Company survey named us #1 in the Life and Health Insurance industry. In 2016, we were named to the Dow Jones Sustainability Index (DJSI) for the first time. DJSI is a global index to track the leading sustainability-driven companies.

While we have tremendous respect for the past, we are a company firmly focused on the future. To adapt to a changing world, we are undergoing one of the most dramatic transformations in our history to reinvent how we do business so we can thrive in any environment. We are moving away from a traditional product-development model to one driven by customer insights. We are challenging historical norms by humanizing our industry and designing every customer experience to reflect the modern company were becoming. Our goal in everything we do is to offer customers truly differentiated value propositions that allow us to establish clear competitive advantages. We pride ourselves on being a trusted partner to our customers as they navigate lifes twists and turns.

At the center of our business strategy is a commitment to One MetLife collaborating, sharing best practices, and recruiting, developing and retaining the best talent in the industry. We live by our values: Put Customers First, Be the Best, Make Things Easier, and Succeed Together. They guide how we operate every day.

For more information, visit www.metlife.com at http://www.metlife.com/ .

MetLife is a proud equal opportunity/affirmative action employer committed to attracting, retaining, and maximizing the performance of a diverse and inclusive workforce. It is MetLife's policy to ensure equal employment opportunity without discrimination or harassment based on race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital or domestic/civil partnership status, genetic information, citizenship status, uniformed service member or veteran status, or any other characteristic protected by law.

MetLife maintains a drug-free workplace.

**For immediate consideration, click the Apply Now button. You will be directed to complete an on-line profile. Upon completion, you will receive an automated confirmation email verifying you have successfully applied to the job.**


  • Engineering
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  • Insurance
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Vice President, Data Science

Cary, NC

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Cary, NC

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