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General Management - Exec II

LexisNexis (RELX)

General Management - Exec II

LexisNexis (RELX)

Alpharetta, GA

·

On-site

·

Full-time

·

1mo ago

Compensation

$156,700 - $290,900

Benefits & Perks

Comprehensive health, dental, and vision insurance

401(k) matching

Generous paid time off and holidays

Team events and activities

Parental leave

Professional development budget

Healthcare

Parental Leave

Learning

Required Skills

Python

JavaScript

PostgreSQL

About the business

Lexis Nexis Risk Solutions is the essential partner in the assessment of risk. Within our Insurance vertical, we provide customers with data solutions and decision tools that combine public and industry specific content with advanced technology and analytics to help evaluate and predict risk and enhance operational efficiency. Our insurance risk solutions help drive better data-driven decisions across the insurance policy lifecycle all while reducing risk. You can learn more about Lexis Nexis Risk at the link below.

https://risk.lexisnexis.com/insurance

About the role

Develop market strategy and vision for Life Insurance Solutions and execute thought leadership activities that drive our position in the market. Preference for this candidate to be local to Alpharetta, GA.

This team consists of experienced professionals who possess strong matrix leadership, communication, project management expertise and organizational skills.

Their primary role is to lead market strategies and set business direction for the organization by leveraging market expertise, innovating differentiated solutions or market problems and delivering compelling value for our company and customers.

Responsibilities

Lead and execute market development for the entire Life Insights platform:

  • Champion strategic partnerships and develop influencer initiatives focused on market development within the Life Insurance ecosystem.

  • Serve as the main relationship manager for Reinsurer relationships, defining and executing strategies to grow reinsurer relationships that advance our market presence as an innovator and thought leader.

  • Partner with the Global Alliance team to prioritize and grow third party relationships that will advance the adoption and integration of our solutions.

  • Act as the ambassador to cultivate a strong network and presence among the medical data suppliers.

  • Collaborate with functions such as Marketing, Sales Enablement or Client Engagement to ensure wide adoption of market messages related to reinsurers and partnerships.

  • Monitor life ecosystem for developments and trends, with a focus on regulatory climate, and emerging technology & partnerships

  • Contribute to mergers/acquisitions due diligence.

  • Lead and support internal operating activities as needed.

Requirements

  • Bachelor's Degree or equivalent experience.

  • 10 years of collaborative leadership experience in the Life insurance industry or with a   related insurance solutions company.

  • Experience with or at a Reinsurer organization

  • Proven leadership in a business or partnership development role.

  • Experience with or deep understanding of UW practices, risk assessment and/or medical data sourcing preferred

  • Experience with or knowledge of insurance technology solutions and how they function in the insurance value chain.

  • Experience defining partnership terms, negotiating contracts and developing commercial terms preferred.

  • Excellent project management skills with the ability to bring something from ideation to successful completion

  • Business analysis skills/experience; ability to draw insights from a variety of sources and to process complex information into a cohesive strategy and action plan.

  • Excellent verbal and written communications; ability to work with and influence at all levels.

U.S. National Base Pay Range: $156,700 - $290,900. Geographic differentials may apply in some locations to better reflect local market rates.

This job is eligible for an annual incentive bonus.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click[here

](https: //www.relx.com/careers/join-us/benefits) to access benefits specific to your location.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our [Applicant Request Support Form](https://nam11.safelinks.protection.outlook.com/?urlhttps%3A%2F%2Fforms.office.com%2Fr%2FeVgFxjLmAK&data05%7C02%7CSharon.

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We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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About LexisNexis (RELX)

LexisNexis (RELX)

Provides data and technology services, analytics, predictive insights, and fraud prevention for a wide range of industries.

10,001+

Employees

Alpharetta

Headquarters

Reviews

4.2

47 reviews

Work Life Balance

4.1

Compensation

4.6

Culture

4.4

Career

4.2

Management

3.7

86%

Recommend to a Friend

Pros

Flexible remote work options and good work-life balance

Competitive compensation packages with equity

Opportunities for continuous learning and growth

Cons

Organizational changes and restructuring can be disruptive

Internal politics in some teams

Fast-paced environment with tight deadlines

Salary Ranges

58 data points

Junior/L3

Mid/L4

Junior/L3 · Data Analyst I

2 reports

$72,805

total / year

Base

$63,221

Stock

-

Bonus

-

$72,805

$72,805

Interview Experience

5 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Experience

Positive 0%

Neutral 80%

Negative 20%

Interview Process

1

Application Review

2

HR Screen

3

Technical Interview

4

Background Check

5

Offer

Common Questions

Technical Knowledge

Past Experience

Behavioral/STAR

Data Analysis