Business Development Manager, Insurance (Remote)

AI overview

Manage relationships with insurance partners to identify and execute growth opportunities while collaborating with marketing and product teams to optimize commercial strategies.

Forbes Advisor is seeking a Business Development Manager who thrives in a collaborative, goal-oriented environment. Reporting to the GM of Insurance, this individual will support a range of Insurance categories, from Business Insurance to Travel Insurance, and assist broader commercial teams in identifying, executing, and optimizing growth opportunities. This individual will be a key stakeholder in managing relationships with Insurance partners, communicating and negotiating commercial strategies and be a lead in growing these categories. They will also be gateway between wider internal teams of the business, from marketing, to product and the partners we work with.

Responsibilities:

  • Support the Senior Director of Business Development in achieving revenue and growth targets.
  • Prospect and outreach for new potential partners to drive new partnerships.
  • Help with growing established partnerships through the negotiation of current commercial agreements, finding new opportunities to work together and cross-selling new initiatives the business brings to market.
  • Serve as the primary point of contact for all onboarding, legal, and setup requirements.
  • Collaborate with the marketing and product teams to develop tailored media plans and proposals.
  • Manage the collection of creative assets, tracking, and ad verification from clients and agency contacts.
  • Oversee order creation and management.
  • Process insertion orders and ensure compliance with requirements.
  • Coordinate with internal teams to project manage all elements required for campaign execution.
  • Partner with internal teams on billing reconciliation.
  • Assist the sales team in upselling and renewing business.

Requirements:

  • 7+ years Affiliate Marketing or Business Development experience in Insurance verticals preferred
  • Exceptional communication and organizational skills.
  • Ability to manage stress well, and juggle multiple account challenges at once. Fluent in Microsoft Word, Excel and PowerPoint.

Forbes Advisor provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

#LI-REMOTE #LI-NM1

Forbes Advisor is looking for a Data Research Engineer - Data Extraction to join the Forbes Marketplace Performance Marketing team with a focus on supporting one of Forbes business verticals. If you're looking for challenges and opportunities similar to those of a start-up, with the benefits of an established, successful company read on.We are an experienced team of industry experts dedicated to helping readers make smart decisions and choose the right products with ease. Marketplace boasts decades of experience across dozens of geographies and teams, including Content, SEO, Business Intelligence, Finance, HR, Marketing, Production, Technology and Sales. The team brings rich industry knowledge to Marketplace’s global coverage of consumer credit, debt, health, home improvement, banking, investing, credit cards, small business, education, insurance, loans, real estate and travel.The Data Extraction Team is a brand new team who plays a crucial role in our organization by designing, implementing, and overseeing advanced web scraping frameworks. Their core function involves creating and refining tools and methodologies to efficiently gather precise and meaningful data from a diverse range of digital platforms. Additionally, this team is tasked with constructing robust data pipelines and implementing Extract, Transform, Load (ETL) processes. These processes are essential for seamlessly transferring the harvested data into our data storage systems, ensuring its ready availability for analysis and utilization.A typical day in the life of a Data Research Engineer will involve acquiring and integrating data from various sources, developing and maintaining data processing workflows, and ensuring data quality and reliability. They collaborate with the team to identify effective data acquisition strategies and develop Python scripts for data extraction, transformation, and loading processes. They also contribute to data validation, cleansing, and quality checks. The Data Research Engineer stays updated with emerging data engineering technologies and best practices. 

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